Sökresultat för "Machine Learning Engineering"

Husqvarna AB

At Husqvarna Group, we are not only building innovative outdoor power tools — we are also transforming into a data-driven, digitally empowered company. Our IT and data landscape spans across continents, cloud platforms and business areas, and we’re on a mission to make data a true asset - at every level of the organization. With a legacy of innovation dating back to 1689 — from sewing machines and motorcycles to chainsaws and robotic lawnmowers. Husqvarna has always evolved with the times. Today, that evolution is digital. and the future is powered by data. Now, we’re looking for a Senior Python Developer to strengthen our data foundation and help take our internal tools to the next level. About this opportunity You’ll be joining a small and highly skilled core team of three that, over the past five years, has developed and nurtured Husqvarna’s data mesh platform. The team supports and guides more than 35 development teams across both Azure and AWS — ensuring scalable, secure and high-quality data solutions across the Group. In this role, you’ll take the lead on developing and maintaining our internal tool Data Registry — the backbone of how we manage and govern data across the organization. You’ll design web applications, build pipelines, and contribute to a strong data engineering foundation that enables innovation at scale. Your role As Senior Python Developer, you will: Design, develop and maintain web applications using Python and Django Create and maintain pipelines in Databricks using PySpark Be responsible for security of our web application and AWS account(s) Collaborate with cross-functional teams to define, design and ship new features Implement robust security and data protection mechanisms Stay up-to-date with new technologies and innovations in web and data development About you You’ll thrive in this role if you enjoy combining technical depth with collaboration. You like building things that last — robust, elegant and well-documented solutions others can depend on. You’re curious by nature, humble in your approach and self-driven in execution. You take ownership, listen to your colleagues, and keep an open mind to new ideas. Above all, you care about quality and clarity — both in your code and your communication. Your technical toolbox Must-have skills: Python – deep knowledge of Python and its ecosystem Django – solid experience building web applications Web fundamentals – HTML, CSS, JavaScript AWS – hands-on experience with services such as CloudFormation, ECS, and S3 Infrastructure as Code (IaC) – familiarity with tools like Terraform or AWS CloudFormation Nice-to-have / merited skills: Databricks – experience building and maintaining data pipelines Azure – exposure to Azure services and data tools DevOps practices – experience automating and optimizing development workflows Location This position can be based either in Navi Mumbai, Maharashtra, India, or at one of our sites in Sweden. How we work We believe the best ideas happen when we're connected. We spend most of our time together in the office, creating space for collaboration, creativity, and fast decision-making. This is consistent across all our global offices and helps us maintain a strong culture, support learning and development, and ensure everyone has access to the people and resources they need to thrive. Your application We look forward to receiving your application! Please note that selection is ongoing, and the position may be filled before the final application date. For questions about the process, contact Talent Acquisition Partner Omkar Phadke at ​omkar.phadke@husqvarnagroup.com or Talent Acquisition Partner Victoria Kjellgren at victoria.kjellgren@husqvarnagroup.com About Husqvarna Group:  Husqvarna Group is a global leader in innovative solutions for managing forests, parks, and gardens, as well as cutting equipment and diamond tools for the light construction and stone industries. With an innovative mindset, we are dedicated to deliver high-quality solutions ranging from robotic mowers to chainsaws, watering systems and power cutters, with a strong focus on our customers and future generations.  Founded in the Swedish town Huskvarna in 1689, we have been pioneers in our business for more than three centuries. Today, we are mainly operating under the Husqvarna and Gardena brands, serving consumers and professionals in over 100 countries through direct sales, dealers, and retailers. Headquartered in Stockholm, Sweden, Husqvarna Group employs approximately 13,300 people in 40 countries and reported net sales of SEK 48,4 billion in 2024. Husqvarna Group is listed on Nasdaq Stockholm

Adyen

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.  For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior AI Engineer We are looking for a Senior AI Engineer to join our AML (Anti-Money Laundering) Tech team in Amsterdam. You will help build our next-generation financial crime investigation system, leveraging AI to manage and mitigate risk at scale. With our global footprint, you will have access to a uniquely rich dataset to fuel these solutions. You will bridge the gap between applied research and engineering excellence, taking ownership of the end-to-end lifecycle of these AI systems – from initial ideation to production. We are building a Human-in-the-Loop system. By evolving our capabilities from isolated workflows to a highly performant, trustworthy agentic system, you will shape how humans and AI collaborate in a complex, regulated domain. This is a unique opportunity to be part of the foundational group driving AI product development at Adyen. You will be building zero-to-one products, setting the architectural standards for our team, and defining how AI is practically deployed across the company. In this role, you will: * Build Agentic Systems: You will lead the design and deployment of robust, multi-step AI agents tailored for complex investigation workflows (orchestration, tool dispatching, state and memory management, error recovery, human-in-the-loop design). * Develop Platform Infrastructure: You will build a scalable modular agent platform that seamlessly integrates with enterprise data to support Adyen’s massive operational scale and diverse use cases. * Architect Evaluation Frameworks: You will design custom, domain-specific benchmarks and reusable infrastructure to rigorously test LLM reliability, edge cases, failure modes, and overall production readiness. * Provide Strategic Leadership: You will act as the leading engineer for the team, driving the AI product roadmap in close collaboration with a high-performing product team and leadership, guide company-wide MLOps decisions, evaluate third-party tools, and lead cross-functional integration. Who You Are: * Experienced Builder: 5+ years in Software or Machine Learning Engineering, including 2+ years successfully designing and productionizing AI systems. * Agentic Architecture Expert: Proven experience in applied AI, with a focus on building systems around pre-trained models (e.g., context engineering, fine-tuning, RAG, inference optimization, orchestrating model interactions with external tools to deliver solutions, multi-step tasks). You know exactly what separates a research prototype from a production agent. * Engineering & MLOps Pragmatist: Highly proficient in Python with a strong grasp of engineering best practices and tracking "LLM-native" metrics (e.g., granular tracing, tokens/sec, cost-per-request). * Proactive Leader: A self-starter who thrives in ambiguity, continuously raises the technical bar, influences system architecture, and mentors the team to build for scale. * Educated: Master’s degree in a STEM field (Science, Technology, Engineering, Mathematics) or equivalent technical background. * Bonus (Nice to Have): A strong foundation in traditional Machine Learning. You understand that this product sits within a broader ML ecosystem and pragmatically choose the right tool for the problem. Our Diversity, Equity and Inclusion commitments  Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.  Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility. This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Rippling Sweden AB

Job Title: Head of Design Reports to: Chief Strategy Officer Direct Reports: Design team (~10 direct reports), including Product Designers, UX Researchers, and Consumer Insights Lead Purpose of the Role The Head of Design is the most senior design leader within the organisation, responsible for setting and executing the design vision, strategy, and standards across all consumer-facing digital products and experiences. This is a strategic leadership role that extends well beyond traditional design management — the role holder operates as a key member of the senior leadership team, working directly with the CEO, Chief Strategy Officer, and other C-suite executives to shape company direction, product strategy, and growth initiatives. The Head of Design is accountable for building and leading a high-performing design organisation, driving innovation through AI-augmented design practices, and ensuring that design functions as a strategic capability that de-risks business decisions through rapid prototyping, consumer research, and evidence-based experimentation. Key Responsibilities Strategic Leadership & Executive Partnership • Define and own the design vision and strategy for the organisation, ensuring design is embedded at the centre of product development, content strategy, and commercial decision-making. • Partner directly with the CEO, Chief Strategy Officer, and senior leadership team on company-direction initiatives, contributing design perspective to business strategy, market positioning, and growth planning. • Lead the transformation of the design function from a production-oriented service into a Research & Development capability, where every strategic bet is validated through design-led prototyping and consumer evidence before full investment. • Represent Design at executive forums, board presentations, and cross-functional leadership meetings, advocating for user-centred decision-making and design-led innovation. Design Organisation & Team Leadership • Build, lead, and develop a multidisciplinary design team of approximately 10 professionals spanning product design, UX research, and consumer insights. • Establish and maintain design hiring standards, career progression frameworks, and professional development programmes to attract and retain top design talent. • Foster a culture of design excellence, creative rigour, and continuous learning within the team and across the broader organisation. • Drive AI adoption and AI-augmented design workflows across the team, achieving high levels of productivity through modern tooling and automated processes. Product & Experience Design • Oversee the end-to-end design of the organisation's digital product portfolio, including financial comparison tools, recommendation engines, editorial content experiences, and emerging AI-powered advisory products. • Own the design system architecture and component library, ensuring consistency, accessibility, scalability, and brand coherence across all platforms and touchpoints. • Lead the design strategy for new product initiatives, including AI chat assistants, personalised financial wellness tools, and machine-learning-optimised content experiences. • Ensure all design output meets the highest standards of usability, accessibility (WCAG compliance), performance, and visual quality. Innovation & AI Integration • Pioneer the integration of AI and machine learning into the design workflow, including AI-first design systems that connect design components directly to AI coding tools to eliminate inconsistencies and accelerate development. • Lead the development of LLM-optimised content templates and information architectures that ensure content is structured for both human consumption and machine-readable citation by large language models. • Drive design innovation through rapid prototyping, consumer testing, and iterative experimentation, enabling the organisation to validate ideas at low cost before committing engineering resources. • Identify and evaluate emerging design technologies, tools, and methodologies that can provide competitive advantage. Cross-Functional Collaboration & Influence • Partner with Product, Engineering, Editorial, Growth, SEO, and Data Science teams to ensure design thinking is integrated across all workstreams and business decisions. • Collaborate with commercial and partnerships teams to design consumer experiences that drive revenue growth, lead generation, and partner engagement. • Establish and lead cross-functional design review processes, ensuring alignment between design direction and business objectives. • Act as the primary advocate for consumer needs within the organisation, embedding consumer insights and user research evidence into strategic planning and prioritisation. Required Skills & Qualifications • Proven track record of building and leading high-performing design teams within technology, media, or financial services organisations. • Demonstrated ability to operate at a strategic level, influencing business direction and product strategy alongside C-suite executives. • Deep expertise in design systems, component architectures, and scalable design practices for multi-product digital platforms. • Strong understanding of AI/ML technologies and their application to design workflows, content strategy, and product innovation. • Expert proficiency in Figma and modern design tooling, with working knowledge of front-end technologies (HTML, CSS, React/TypeScript) and data-informed design practices. • Exceptional communication, presentation, and stakeholder management skills, with the ability to translate design thinking into commercial value. • Experience with consumer financial services, comparison platforms, or content-led digital products is highly desirable.

SAAB AKTIEBOLAG

Passionate about making ideas a reality? Join our welcoming world of tech and let your ideas soar. Your role Operational Excellence is a newly formed department consisting of three sections, one of which is BI & Digital Tools. You will be part of the Operational Excellence FCC Leadership Team and will play a key role in shaping the new department together with your fellow managers. As Manager, BI & Digital Tools, you will lead a high-performing team specializing in business intelligence, automation, and machine learning. The team consists of talented professionals who design and develop digital tools, methods, dashboards, reports, and predictive models. Its mission is to strengthen decision-making and transform the way we work by leveraging data, developing innovative digital solutions, and ensuring their successful implementation and continuous improvement. Your primary focus will be the managers and colleagues within Operations Stockholm, but you will also work closely with departments within Surveillance business units Fighter Core Capabilities as well as Business Area Surveillance Operational Excellence department. Your responsibilities in short: Manage the BI & Digital Tools team, ensuring high performance, engagement, and efficient ways of working. Drive the transformation towards a more data-driven organization by translating data into meaningful KPIs, insights, and decision support across the business. Develop, own, and execute the organization's data governance roadmap. Translate the Operational Excellence roadmap and strategic goals into actionable roadmaps and priorities for BI & Digital Tools. Partner and collaborate with the sister sections within Operational Excellence to ensure data and digital solutions are integral parts of business initiatives. Coach and develop your team, building capabilities and enabling employees to take on increasingly complex challenges. Empower your employees through value-based leadership. Develop efficient ways of working, implement best practices, and drive continuous improvement within your area. Act as a transformation and change leader, inspiring confidence and engagement in an evolving and agile business environment. Build, maintain and develop relations with all relevant stakeholders. Translating Saab, Surveillance and BU strategies into clear and well-communicated targets for your stakeholders Leading according to Saab´s organizational values. Full responsibility for results within your area, which includes safety and health, quality, delivery capacity, efficiency and finance. Your profile We are looking for a positive, curious, and self-driven leader who brings energy, structure, and a strategic mindset to create a collaborative and high-performing environment. You are a team player who actively contributes to shared objectives and business success. You are an inspiring and inclusive leader with the ability to recognize and develop each team member's strengths and potential. Through clear communication, strong values, and direction, you create commitment and successfully lead people through change. You thrive in transformation and complexity, combining strategic thinking with a pragmatic, hands-on approach to turn plans into action and deliver results. You are passionate about using data to improve ways of working, increase efficiency, and drive business performance. With an agile, innovative, and collaborative mindset, you challenge the status quo, navigate changing priorities, and build a culture of continuous improvement focused on delivering value with speed and quality. Required skills: Master of Science in Engineering or equivalent education and/or relevant professional experience. Demonstrated ability to combine strategic thinking with operational execution. Proven ability and genuine interest in leading, developing, and challenging organizations, management teams, and employees. Strong business acumen and customer focus. Pragmatic and action-oriented, with the ability to deliver business value through the right balance of structure, governance, and speed. Minimum two years' formal or informal leadership experience within a relevant area across Business intelligence, automation, Machine learning or similar. Strong communication skills and experience in leading transformation and change. Excellent verbal and written communication skills in Swedish and English. This position requires that you pass a security vetting based on the current regulations around/of security protection. For positions requiring security clearance additional obligations on citizenship may apply. Kindly observe that this is an ongoing recruitment process and that the position might be filled before the closing date of the advertisement. What you will be a part of Explore a wealth of possibilities. Take on challenges, create smart inventions, and grow beyond. This is a place for curious minds, brave pioneers, and everyone in between. Together, we achieve the extraordinary, each bringing our unique perspectives. Your part matters. Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. Saab designs, manufactures and maintains advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. Saab is headquartered in Sweden. It has major operations all over the world and is part of the domestic defense capability of several nations. Read more about us here

SAAB AKTIEBOLAG

Passionate about making ideas a reality? Join our welcoming world of tech and let your ideas soar. Your role Operational Excellence is a newly formed department consisting of three sections, one of which is Transformation Office. You will be part of the Operational Excellence FCC Leadership Team and will play a key role in shaping the new department together with your fellow managers. As Manager of the Transformation Office, you will lead a high-performing team driving strategic transformation across multiple business domains. The team consists of talented professionals who lead initiatives in for example supply chain and hardware flow, industrialization at scale, software development excellence, future technology, and the implementation of new systems such as PLM. As the Transformation Office is newly established, you will build the team, shape its culture, and establish effective ways of working while simultaneously delivering on an ambitious transformation agenda. The Transformation Office's mission is to accelerate business transformation by defining and executing a strategic roadmap, driving cross-functional initiatives, and ensuring successful implementation that delivers measurable business value. Your primary focus will be the managers and colleagues within Operations Stockholm, but you will also work closely with departments within Surveillance business units Fighter Core Capabilities as well as Business Area Surveillance Operational Excellence department. Your responsibilities in short: Manage the Transformation Office team, ensuring high performance, engagement, and efficient ways of working. Contribute to building operational strategy of COO Office FCC Drive the transformation agenda and reinvent the operating model of BU FCC Translate the Operational Excellence roadmap and strategic goals into actionable roadmaps and priorities for Transformation Office Partner and collaborate with the sister sections within Operational Excellence to ensure data and digital solutions are leveraged Coach and develop your team, building capabilities and enabling employees to take on increasingly complex challenges. Empower your employees through value-based leadership. Develop efficient ways of working, implement best practices, and drive continuous improvement within your area. Act as a transformation and change leader, inspiring confidence and engagement in an evolving and agile business environment. Build, maintain and develop relations with all relevant stakeholders. Translating Saab, Surveillance and BU strategies into clear and well-communicated targets for your stakeholders Leading according to Saab´s organizational values. Full responsibility for results within your area, which includes safety and health, quality, delivery capacity, efficiency and finance. Your profile We are looking for a positive, curious, and self-driven leader with a strategic mindset and a strong ability to create collaboration and high performance. You are structured, pragmatic, and focused on delivering results and business value with speed and quality. You are a team player who contributes to shared goals and business success, while recognizing and developing each team member's unique strengths and potential. Through inclusive and inspiring leadership, you create commitment, empower others, and guide people through change. You thrive in transformation and complexity, are comfortable navigating changing priorities, and build strong relationships with a wide range of stakeholders. With a passion for innovation, data-driven improvements, and continuous development, you challenge the status quo and create an agile, collaborative, and high-performing environment. Required skills: Master of Science in Engineering or equivalent education and/or relevant professional experience. Demonstrated ability to combine strategic thinking with operational execution. Proven ability and genuine interest in leading, developing, and challenging organizations, management teams, and employees. Strong business acumen and customer focus. Minimum five years' formal or informal leadership experience within a relevant area across multiple (or all) of the following areas: digital transformation, operational transformation, operations strategy, industrialization, software development, supply chain transformation Strong communication skills and experience in leading transformation and change. Excellent verbal and written communication skills in Swedish and English. Tach savvy within Software development excellence, Digital Tools, Machine Learning, System Integration, Data management Experience from product centric business context within high mix low volume operation is considered meritorious but not a must This position requires that you pass a security vetting based on the current regulations around/of security protection. For positions requiring security clearance additional obligations on citizenship may apply. Kindly observe that this is an ongoing recruitment process and that the position might be filled before the closing date of the advertisement. What you will be a part of Explore a wealth of possibilities. Take on challenges, create smart inventions, and grow beyond. This is a place for curious minds, brave pioneers, and everyone in between. Together, we achieve the extraordinary, each bringing our unique perspectives. Your part matters. Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. Saab designs, manufactures and maintains advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. Saab is headquartered in Sweden. It has major operations all over the world and is part of the domestic defense capability of several nations. Read more about us here

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  The role   We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. Beyond technical delivery, we're looking for someone genuinely curious about the business problems behind the data — someone who can apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and shape business requirements, not just implement them as given. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are Microsoft Azure / Fabric (primary), GCP, AWS, Databricks, and Snowflake, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake). This includes developing reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake, and building ingestion, transformation, and curation workflows for both structured and unstructured data. You will implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold), ensuring systems are reusable, scalable, and aligned with enterprise needs. Enable AI, GenAI & Data Products Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems. You will enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows, ensuring that data is model-ready and production-grade. Data Modeling, Orchestration & Automation Design scalable logical and physical data models for analytical and operational use cases, ensuring consistency across domains. Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents, with strong focus on automation, reliability, and maintainability of end-to-end pipelines. Architecture, Governance & Observability Apply modern architecture patterns including event-driven and streaming architectures, and ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC). Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence, ensuring systems remain trustworthy and production-ready. Data Serving, Integration & Optimization Enable data serving layers (APIs, feature inputs, analytical endpoints) to support downstream systems, including ML and AI platforms. Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency. Requirements Discovery & Business Partnership Bring genuine curiosity to every engagement — ask the right questions to understand not just what stakeholders are asking for, but why. Apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and refine business requirements, surfacing gaps or better alternatives where they exist rather than simply executing a brief as written. Collaboration Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions. Support adoption of data products and contribute to best practices across the data and AI ecosystem. Must have qualifications Technical skills Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Cloud & Platforms (Key Requirement) Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Architecture & Systems Thinking Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Mindset Naturally curious, with strong problem-solving skills focused on scalability and reliability, and a collaborative approach to working in cross-functional teams. Comfortable applying common sense thinking, detailed analysis, and experience-based recommendations to help derive and challenge business requirements rather than taking them at face value. Experience in Agile or consulting environments is beneficial. Nice to have qualifications   Experience with GenAI and AI data systems (e.g., RAG pipelines, vector databases, LLM data preparation), as well as CI/CD for data pipelines and infrastructure-as-code tools such as Terraform, ARM, or CloudFormation.  Additional exposure to streaming technologies (e.g., Kafka), Spark optimization, or advanced analytics and ML workloads (including causal or experimentation platforms) is valuable. Experience building data products or large-scale analytics platforms is also beneficial.  Commitment to reaching all kinds of people  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  THE BENEFITS   This is a Full time position based in Kosovo.  Beyond a competitive compensation package, we offer:   * Health insurance that guarantees fast access to contracted health services * Vacation Plan * Subsidy for study materials, trainings, conferences and events that will contribute to your development * Hybrid Working model * Performance Evaluation Process that paves the roadmap for a personal and professional career development * Refreshments and fruit in the office * Team gatherings and parties organized and subsidized by the company YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  The role   We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. Beyond technical delivery, we're looking for someone genuinely curious about the business problems behind the data — someone who can apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and shape business requirements, not just implement them as given. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are Microsoft Azure / Fabric (primary), GCP, AWS, Databricks, and Snowflake, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake). This includes developing reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake, and building ingestion, transformation, and curation workflows for both structured and unstructured data. You will implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold), ensuring systems are reusable, scalable, and aligned with enterprise needs. Enable AI, GenAI & Data Products Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems. You will enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows, ensuring that data is model-ready and production-grade. Data Modeling, Orchestration & Automation Design scalable logical and physical data models for analytical and operational use cases, ensuring consistency across domains. Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents, with strong focus on automation, reliability, and maintainability of end-to-end pipelines. Architecture, Governance & Observability Apply modern architecture patterns including event-driven and streaming architectures, and ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC). Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence, ensuring systems remain trustworthy and production-ready. Data Serving, Integration & Optimization Enable data serving layers (APIs, feature inputs, analytical endpoints) to support downstream systems, including ML and AI platforms. Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency. Requirements Discovery & Business Partnership Bring genuine curiosity to every engagement — ask the right questions to understand not just what stakeholders are asking for, but why. Apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and refine business requirements, surfacing gaps or better alternatives where they exist rather than simply executing a brief as written. Collaboration Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions. Support adoption of data products and contribute to best practices across the data and AI ecosystem. Must have qualifications Technical skills Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Cloud & Platforms (Key Requirement) Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Architecture & Systems Thinking Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Mindset Naturally curious, with strong problem-solving skills focused on scalability and reliability, and a collaborative approach to working in cross-functional teams. Comfortable applying common sense thinking, detailed analysis, and experience-based recommendations to help derive and challenge business requirements rather than taking them at face value. Experience in Agile or consulting environments is beneficial. Nice to have qualifications   Experience with GenAI and AI data systems (e.g., RAG pipelines, vector databases, LLM data preparation), as well as CI/CD for data pipelines and infrastructure-as-code tools such as Terraform, ARM, or CloudFormation.  Additional exposure to streaming technologies (e.g., Kafka), Spark optimization, or advanced analytics and ML workloads (including causal or experimentation platforms) is valuable. Experience building data products or large-scale analytics platforms is also beneficial.  Commitment to reaching all kinds of people  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  THE BENEFITS   Beyond a competitive compensation package, we offer:  * Flexibility, with hybrid work options and 25 vacation days for a healthy work-life balance. * Co-subsidized transportation & Multisport cards. * Premium health insurance for fast and easy access to top healthcare services. * Training policy for technical and other skills-related events, courses and certifications. * Personal career development roadmap guided by performance evaluations. * Self-care program offering psychological consultations & discussions for you and the team. * Cozy office space designed for comfort and productivity. * Exciting team events and company gatherings. YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  The role   We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. Beyond technical delivery, we're looking for someone genuinely curious about the business problems behind the data — someone who can apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and shape business requirements, not just implement them as given. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are Microsoft Azure / Fabric (primary), GCP, AWS, Databricks, and Snowflake, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake). This includes developing reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake, and building ingestion, transformation, and curation workflows for both structured and unstructured data. You will implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold), ensuring systems are reusable, scalable, and aligned with enterprise needs. Enable AI, GenAI & Data Products Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems. You will enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows, ensuring that data is model-ready and production-grade. Data Modeling, Orchestration & Automation Design scalable logical and physical data models for analytical and operational use cases, ensuring consistency across domains. Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents, with strong focus on automation, reliability, and maintainability of end-to-end pipelines. Architecture, Governance & Observability Apply modern architecture patterns including event-driven and streaming architectures, and ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC). Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence, ensuring systems remain trustworthy and production-ready. Data Serving, Integration & Optimization Enable data serving layers (APIs, feature inputs, analytical endpoints) to support downstream systems, including ML and AI platforms. Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency. Requirements Discovery & Business Partnership Bring genuine curiosity to every engagement — ask the right questions to understand not just what stakeholders are asking for, but why. Apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and refine business requirements, surfacing gaps or better alternatives where they exist rather than simply executing a brief as written. Collaboration Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions. Support adoption of data products and contribute to best practices across the data and AI ecosystem. Must have qualifications Technical skills Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Cloud & Platforms (Key Requirement) Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Architecture & Systems Thinking Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Mindset Naturally curious, with strong problem-solving skills focused on scalability and reliability, and a collaborative approach to working in cross-functional teams. Comfortable applying common sense thinking, detailed analysis, and experience-based recommendations to help derive and challenge business requirements rather than taking them at face value. Experience in Agile or consulting environments is beneficial. Nice to have qualifications   Experience with GenAI and AI data systems (e.g., RAG pipelines, vector databases, LLM data preparation), as well as CI/CD for data pipelines and infrastructure-as-code tools such as Terraform, ARM, or CloudFormation.  Additional exposure to streaming technologies (e.g., Kafka), Spark optimization, or advanced analytics and ML workloads (including causal or experimentation platforms) is valuable. Experience building data products or large-scale analytics platforms is also beneficial.  Commitment to reaching all kinds of people  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  THE BENEFITS   This is a position based in Portugal.  Beyond a competitive compensation package, we offer:  * Flexibility, with remote and hybrid work options (country-dependent)  * Career advancement, with international mobility and professional development programs  * Learning and development, with access to cutting-edge tools, training and industry experts  Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.  YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Netlight Consulting AB

Netlight is a network organized and technology/product independent which means you will be able to work in many areas and industries, always focusing on your development. Competence development is core and realized through a culture of knowledge sharing, feedback and mentorship. Engagements where IT is business critical and edge. Netlight strives to be a truly diverse, equitable and inclusive organization. Regardless of who you are, what personality, background, and experience you have, you enrich our culture through your values. Netlight’s purpose is to unleash full potential, realize great careers, and fulfill personal growth. To achieve this, we have a highly engaged network organization, where every employee gets a mentor, delivery coach and personal communities. Netlight provides a full range of premium IT-consulting services at the forefront of the digital industry and stands out for its product- and technology-independent expertise in a wide range of industries and clients. We are a network organization of more than 2 000 role models making aspiring digital leaders successful in their business-critical IT projects. Netlight has been awarded several times as top employer, as well as for growth, continued profitability and engagement for diversity, equity and equality within the IT industry. Today we are growing all across Europe, currently with more than 10 active international offices. Application Process We work continuously with finding the best talents on the market and have a dedicated Talent Search team in each office. Your application will be reviewed and we will get in touch within 2 weeks if we find that your profile matches our requirements. Apply by e-mail and attach your CV and a cover letter. Before applying, carefully read through qualifications below. Minimum Qualifications · BSc Degree in Technology · Location (one of the following): Helsinki, Stockholm, Oslo, Munich, Berlin, Hamburg, Frankfurt, Zurich, Copenhagen, Amsterdam · Verbal and written fluency in English · Project experience in one of the fields mentioned in the job description · Passion and potential to learn and grow · Preferred Qualifications · MSc preferably in Technology · Native/fluent speaker: Finnish (Helsinki), Swedish (Stockholm), Norwegian (Oslo), German · (Munich/Berlin/Hamburg/Zurich), Danish (Copenhagen) since we are located in thoes coutries. To our clients its importat to know local language to be able to deliver value, since much work is about local content. To global clients local language is not that important. · Proven Track-record from previous positions (e.g. recognized achievements & deliveries) Industry Information Technology and Services, Computer Software, and Internet Netlight Consulting is looking for professionals with high ambitions and the potential to become our next top consultants. Job description As a consultant at Netlight you will collaborate with top talented colleagues together with market leading clients. A Netlight consultant works with solving complex business critical challenges which demand excellence in innovative thinking and teamwork. You will be working in an international networking organization and will have access to knowledge from Netlight’s consultants all across Europe. Projects range within competencies such as Frontend development, Backend development, Fullstack Development, Architecture, Business Intelligence, Data Engineering, Data Science, Data Analytics, Machine Learning, Cybersecurity, DevOps, Infrastructure, Test Automation, Agile coaching, Project Management, Product Ownership/Management, UX-/UI-/Interaction design and IT Strategy.

Stripe

ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM Risk Detection is focused on providing a delightful experience for our merchants and minimizing friction, while ensuring the safety of our users in the financial ecosystem. Whenever the Risk team takes action on an account, we work to notify Merchants and provide clear status on what’s happening, enable guided workflows for resolving their issues, and redefine our overall Risk processes to make them as smooth as possible for good merchants. WHAT YOU’LL DO We’re looking for an engineering leader to lead and grow a strong team of engineers, build relationships with customers internally and externally, and champion our vision of making Stripe’s risk management a feature that attracts and retains merchants, and becomes a product differentiator. This is an exciting opportunity to partner with teams across Stripe to build the best merchant experience, and contribute directly to Stripe’s growth. RESPONSIBILITIES * Support the team in delivering a high level of technical quality and impact via APIs, user-facing experiences, services, and systems * Recruit, hire, scale, and develop an amazing team of engineers * Executing cross-functionally with leadership, product teams, infra teams & risk strategists * Be actively involved in strategic direction and platform decisions that impact all of Stripe and Stripe customers  WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS *  At least 3 years of engineering management experience * Prior experience as a Machine Learning Engineer or equivalent  PREFERRED QUALIFICATIONS * You have managed teams that can collaborate with product teams, respond rapidly to customer needs along with building technology and capabilities that are strategic and foundational in nature * Enjoy designing, measuring & improving user experience * You are empathetic to customer needs but visionary enough to not just deliver a faster horse * You are comfortable planning in quarters, and can set a vision for several years * You are comfortable working with geographically distributed teams and remote workers

Stripe

WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.   ABOUT THE TEAM The Radar ML team builds the fraud detection models that protect Stripe's $1.9 trillion payment network from fraud. The team owns 10+ real-time deep learning models that must constantly evolve to stay ahead of fraudsters. Each ML improvement translates directly into dollar impact for Stripe and its users.  The team's models also power the Radar product suite that tens of thousands of businesses use to screen payments and manage fraud. Radar is growing fast, and the team is actively building new products like defenses against AI token theft, free trial abuse, and programmatic attacks. WHAT YOU’LL DO In this role, you will own ML work across the full lifecycle: researching new fraud patterns, building and deploying models, and sharing results directly with top Stripe customers. You will have opportunities to optimize Stripe’s most intensive ML models, and opportunities to ship 0-to-1 products from scratch.  RESPONSIBILITIES * Build, train, evaluate, and deploy ML models that detect fraud across Stripe’s global payments network * Research emerging fraud patterns like token theft and develop ML solutions to address them * Apply advances in deep learning to improve model quality and detection rates at scale * Co-build new fraud and abuse products directly with top users WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 6+ years of industry experience training, evaluating, and deploying ML models in a production environment * Proficiency in Python and common data and ML frameworks like SQL, Spark, and PyTorch * Strong knowledge of production ML systems; and data analysis, statistics, and experiment design fundamentals * Active interest in the latest ML developments, and how they can be leveraged to solve business problems PREFERRED QUALIFICATIONS * Experience building and optimizing real-time, low-latency ML infrastructure at scale * Strong software engineering skills and ability to design ML solutions through entire product stack * Experience applying ML to fraud detection, risk modeling, or a closely related domain * Experience designing ML products used by millions of users

PostNord Group AB

Are you passionate about the infrastructure of scalable, secure, and future-proof data platforms that power analytics, AI, and business-critical insights? Do you thrive in environments where automation, cloud technologies, and platform reliability are at the core of everything you do? We're looking for a Data Platform Engineer who wants to play a pivotal role in shaping and operating a modern Azure and Databricks-based data platform that enables data-driven decision-making, advanced analytics, and AI innovation at scale. About the role In this role, you will be responsible for designing, building, and maintaining the infrastructure that supports analytics, reporting, AI, and data product development. You will help establish platform standards, develop automation capabilities, and ensure the platform remains secure, scalable, and resilient. Working closely with Data Architects, Data Engineers, Enterprise Architects, and Security teams, you will drive the evolution of a modern cloud-based platform that enables seamless data ingestion, processing, and consumption across the organization. As a key member of the team, you will manage and optimize Azure Databricks, Azure Data Lake, networking, and supporting platform services. You will implement Infrastructure as Code using Terraform, build and maintain CI/CD pipelines, and create observability frameworks that provide transparency into platform health, performance, and cost efficiency. You will also play an important role in troubleshooting complex issues, improving operational excellence, supporting disaster recovery planning, and enabling AI and machine learning capabilities through robust platform engineering practices. Beyond the technical responsibilities, you will act as a trusted subject matter expert, helping engineering teams adopt cloud platform best practices while continuously driving improvements in reliability, security, governance, and operational efficiency. We're looking for someone who combines a strong engineering foundation with hands-on experience building and operating the infrastructure of enterprise-scale cloud platforms. Bachelor’s degree in computer science, Information Technology, Engineering, or a related field. 5+ years of experience in Platform Engineering, Cloud Engineering, Infrastructure Engineering, Site Reliability Engineering (SRE), or similar roles. Proven experience designing, implementing, and operating secure, scalable, and resilient cloud infrastructure in Azure. Experience supporting modern data platforms, analytics, AI, and machine learning workloads. Key technical skills We're looking for someone with strong expertise across several of the following areas: Azure cloud and data platforms, including Azure Databricks Administration, Azure Data Lake, data integration services, and analytics workloads. Infrastructure as Code and platform automation, including Terraform, Git, CI/CD, automated provisioning, and configuration management. Containerized and cloud-native environments, including Kubernetes and Docker. Cloud networking and identity management, including Azure Networking, Entra ID/IAM, DNS, connectivity, private networking, routing, and firewalls. Security, compliance, and governance, including implementation of security controls and governance frameworks within regulated environments. Observability and platform operations, including monitoring, troubleshooting, high availability, platform reliability, and cost optimization (FinOps). Scripting and automation, using Python, PowerShell, or Bash. Nice to have Experience with any of the following would be considered an advantage: Microsoft Purview and Apache Airflow. MLOps and Azure AI Services. Multi-cloud environments. Azure Solutions Architect, Azure Administrator, or Databricks Platform Administrator certifications. Experience from the logistics industry. Language requirements Fluent in English, both written and spoken Swedish, Danish, Finnish, or Norwegian is considered an advantage Who you are You are a curious and proactive engineer who enjoys solving complex challenges and building reliable platforms that create value at scale. With a strong analytical mindset and a passion for troubleshooting, you thrive in environments where continuous improvement, automation, and operational excellence are key. You take a structured approach to problem-solving, have a natural sense of ownership, and are committed to delivering high-quality solutions. At the same time, you're a collaborative team player who builds strong relationships across Engineering, Architecture, Security, and Business teams, enabling effective stakeholder engagement and driving results through cross-functional collaboration. Apply Welcome to submit your application! The selection is ongoing, but please note that due to the summer holiday period, the recruitment process may take longer than usual and response times may therefore be delayed. We appreciate your patience and understanding. If you have any questions or concerns, please email recruiting manager Linda Njeru at linda.njeru@postnord.com. We look forward to hearing from you!  Read more about our union representatives PostNord offers communications and logistics solutions to, from and within the Nordic region. With our expertise and a unique distribution network, we are developing the basis for tomorrow’s communication, e-commerce, distribution and logistics.

H & M Hennes & Mauritz GBC AB

Job Description WHAT YOU’LL DO​ As a Senior Data Scientist, you will work hands on to solve complex business and product problems using data and machine learning. You will collaborate closely with cross functional teams and be expected to work pragmatically, navigate ambiguity, and focus on delivering measurable impact. Own and contribute to data science initiatives end to end, from understanding problem statements and exploring data to building, deploying, and maintaining models in production. Design, deploy, and operate LLM‑powered tools and workflows in production, with responsibility for evaluation, monitoring, and continuous improvement Apply statistical methods, machine learning, and advanced analytics to support product and business decisions. Develop, test, and improve models and data‑driven solutions with a strong focus on quality, scalability, and long‑term maintainability. Take responsibility for solutions after deployment, including monitoring, troubleshooting, and iterative improvements. Perform exploratory and ad hoc data analysis, and present insights in a clear and structured way. Communicate closely with stakeholders to translate business needs into analytical approaches and explain outcomes in an accessible manner. Contribute to technical standards, best practices, and knowledge sharing within the data science community. ​ WHO YOU’LL WORK WITH​ You will work in cross‑functional teams together with colleagues in product, engineering, analytics, and business roles. You will also be part of a broader Data Science community, collaborating with other data scientists to share knowledge, align on best practices, and continuously improve how data science is applied across the organisation. ​ ​ WHO YOU ARE​ We are looking for people with…​ ​A Bachelor’s or Master’s degree in Statistics, Engineering, Computer Science, or a related field. Strong theoretical and practical knowledge of statistics and machine learning. Proven experience developing and deploying machine learning models in cloud environments beyond notebook‑based work. Hands‑on experience building and deploying LLM‑based applications, including fine‑tuning, retrieval pipelines, and prompt engineering. Strong proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, LangChain, or similar libraries. Practical experience with MLOps practices, CI/CD pipelines, and model monitoring, ideally in a cloud environment. And people who are…​ Strong in their SQL skills for data manipulation and analysis Familiar with DBT or similar data transformation tools​ Experienced with vector databases and embedding models Excellent communicators and confident taking ownership and accountability Comfortable working in ambiguity while being proactive ​Please note that we will not be able to offer relocation for this role, so we will not be able to proceed with candidates living/working outside of Sweden. WHO WE ARE​ H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make.​ ​ We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. ​ ​ WHY YOU’LL LOVE WORKING HERE ​ At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. ​ We offer all our employee’s attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all our H&M Group brands in stores and online. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here. ​30 days holiday We offer a collective agreement which includes pension and life insurance H&M Incentive Program Wellness benefit 4000kr/year (from Jan 1, 2026) Benify Benefits Portal Community with activities JOIN US​ Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are.​ Take the next step in your career together with us. The journey starts here.​ *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.

Edge of Talent AB

AI förändrar inte bara hur vi arbetar, den förändrar hur företag fattar beslut, utvecklar sina tjänster och skapar värde för sina kunder. Samtidigt växer behovet av moderna dataplattformar, avancerad analys och smart automatisering snabbare än någonsin. För att lyckas krävs mer än rätt teknik. Det krävs projektledare som kan skapa struktur, bygga förtroende och leda komplexa förändringsinitiativ där teknik, verksamhet och människor utvecklas tillsammans. På Edge samarbetar vi med företag och organisationer som investerar i AI, data och digital innovation för att skapa framtidens verksamheter. Nu söker vi fler erfarna AI & Data Project Managers som vill bli en del av vårt nätverk av seniora konsulter. Vi söker inte till ett specifikt uppdrag. Vi söker dig som vill vara redo att leda nästa generations AI- och dataprojekt hos några av Sveriges mest spännande organisationer. Där innovation blir verklighet Som AI & Data Project Manager leder du projekt som hjälper verksamheter att bli mer datadrivna, automatiserade och intelligenta. Du ansvarar för att skapa struktur genom hela projektets livscykel från idé, förstudie och strategi till implementation, förändringsledning och etablering i verksamheten. Du arbetar nära verksamhetschefer, produktägare, data engineers, data scientists, AI-specialister, lösningsarkitekter, utvecklingsteam och externa partners. Din viktigaste uppgift är att skapa samsyn mellan teknik och affär och säkerställa att AI och datainitiativ leder till konkreta resultat. Hos våra kunder kan du leda allt från etablering av moderna dataplattformar och Business Intelligence lösningar till AI-program, avancerad analys, maskininlärning, intelligent automatisering och utveckling av generativa AI-lösningar. Projekt som formar framtidens organisationer Våra kunder driver projekt inom bland annat: AI- och GenAI-initiativ Microsoft Copilot och Copilot Studio Azure AI Services och Azure OpenAI Dataplattformar och Lakehouse-arkitektur Microsoft Fabric Microsoft Azure Data Platform Databricks Snowflake Power BI och Business Intelligence Data Governance och Master Data Management Machine Learning och Predictive Analytics Intelligent Automation och RPA Integration mellan AI-, data- och verksamhetssystem Digital transformation och datadrivet beslutsstöd Gemensamt för projekten är att de kombinerar teknik, verksamhetsutveckling och förändringsledning. Vi tror att du har Du har minst åtta års erfarenhet av projektledning inom IT och har lett större projekt eller program där data, analys, AI eller digitalisering varit en central del av leveransen. Du känner dig trygg i att arbeta i komplexa miljöer med många intressenter och har erfarenhet av att planera, följa upp och styra projekt med ansvar för budget, resurser, kvalitet och leverans. Du behöver inte själv vara data engineer eller AI-specialist, men du har tillräcklig teknisk förståelse för att kunna leda tvärfunktionella team och skapa en effektiv dialog mellan verksamhet och tekniska specialister. Har du erfarenhet av AI-strategier, data governance, moderna molnplattformar eller större transformationsprogram ser vi det som mycket meriterande. Teknik och plattformar vi ofta möter Vi ser gärna att du har erfarenhet av ett eller flera av följande områden: Microsoft Azure Microsoft Fabric Azure Data Factory Azure Synapse Analytics Azure OpenAI Microsoft Copilot Copilot Studio Databricks Snowflake Power BI Microsoft Purview SQL och NoSQL-databaser Python och dataekosystemet AWS eller Google Cloud Platform Machine Learning-plattformar ETL- och ELT-processer API-baserade integrationer DevOps och CI/CD Agila leveransmodeller såsom Scrum, SAFe eller Kanban Det viktigaste är dock inte vilka verktyg du har arbetat med, utan din förmåga att leda människor och skapa framgångsrika leveranser. En projektledare som gör AI begripligt Vi tror att du är nyfiken på ny teknik men samtidigt har ett starkt verksamhetsfokus. Du kan översätta komplexa tekniska resonemang till affärsvärde och skapa förståelse hos beslutsfattare, användare och projektteam. Du är kommunikativ, prestigelös och van att bygga förtroende i organisationer där förändring påverkar många människor. Du drivs av att skapa resultat som består även efter att projektet är avslutat. Ett partnerskap byggt för framtiden På Edge tror vi att de bästa projekten börjar med rätt människor. Därför arbetar vi långsiktigt med våra konsulter och lägger stor vikt vid att förstå dina ambitioner, din kompetens och vilken typ av uppdrag som motiverar dig. Vi samarbetar med kunder inom bland annat finans, industri, energi, offentlig sektor, retail, telekom och life science verksamheter där AI och data blir allt viktigare för affären. Vi välkomnar både dig som vill arbeta som projektanställd och dig som driver eget konsultbolag. För oss är det viktigaste att skapa ett långsiktigt samarbete med några av marknadens främsta projektledare. Välkommen till Edge Om du vill leda projekt som formar framtidens datadrivna och AI-drivna organisationer vill vi gärna komma i kontakt med dig. Skicka gärna ditt CV. Vi arbetar löpande med att matcha våra konsulter mot nya uppdrag och ser fram emot ett förutsättningslöst samtal om hur vi tillsammans kan skapa nästa steg i din karriär. Vi ser fram emot att höra från dig.

Kraftsam Rekrytering & Bemanning AB

Om företaget Valcon är ett internationellt konsultbolag som arbetar i skärningspunkten mellan affär och teknik, med fokus på att skapa datadrivna lösningar som gör verklig skillnad för sina kunder. Bolaget kombinerar strategisk rådgivning med teknisk implementation och hjälper organisationer att ta nästa steg inom digitalisering, data och AI. Här får du arbeta i en miljö där innovation, samarbete och kunskapsdelning står i centrum. Teamet består av erfarna specialister inom data, analytics och machine learning som tillsammans driver utvecklingen framåt och skapar värde i allt från tidiga koncept till produktionssatta lösningar. Som medarbetare erbjuds du stora möjligheter att påverka både teknikval och arbetssätt, samtidigt som du får arbeta i varierande projekt hos välkända kunder. Kulturen präglas av entreprenörsanda, nyfikenhet och en vilja att ständigt utvecklas – både som individ och som team. Om tjänsten I rollen som Machine Learning Engineer arbetar du nära både teknik och verksamhet för att utveckla skalbara och robusta ML-lösningar. Du blir en del av ett team där samarbete, kunskapsdelning och nyfikenhet står i fokus. I denna roll kommer du bland annat att: Utveckla och träna machine learning-modeller i Python (t.ex. med NumPy, Pandas och scikit-learn) Arbeta med feature engineering, datamodellering och statistisk analys Utvärdera och optimera modellprestanda genom tester och experiment Bygga, underhålla och vidareutveckla ML-pipelines Sätta modeller i produktion och säkerställa stabil drift över tid Arbeta med MLOps, inklusive CI/CD, modellversionering och automatiserad retraining Exponera modeller via API:er och integrera dem i affärsnära system Arbeta med moderna teknologier såsom Azure Machine Learning, vektordatabaser och embeddings Utveckla lösningar inom generativ AI, exempelvis RAG (Retrieval-Augmented Generation) Samarbeta med andra utvecklare, data engineers och stakeholders för att skapa värde från data Du kommer att arbeta genom hela ML-livscykeln – från experiment och prototyp till produktionssatta lösningar och kontinuerlig förbättring. Vi söker dig som Har minst 3 års erfarenhet inom Machine Learning eller liknande roll Har goda kunskaper i Python och ML-bibliotek Har erfarenhet av att utveckla, testa och sätta ML-modeller i produktion Har förståelse för statistik, sannolikhetslära och modellvalidering Har arbetat med ML-pipelines, CI/CD och MLOps Har erfarenhet av molntjänster, gärna Azure Är van att arbeta i team och kommunicera med både tekniska och icke-tekniska stakeholders Kommunicerar obehindrat på svenska och engelska Övrigt Anställningen är på heltid med en inledande provanställning på sex månader. Lön och tillträde sker enligt överenskommelse. Tjänsten är placerad i Stockholm. I denna rekrytering samarbetar Valcon med Kraftsam Rekrytering och Bemanning. Externa rekryteringsbolag och säljare undanbedes vänligen men bestämt. Har du frågor om tjänsten, vänligen kontakta ansvarig rekryterare Kristina Maksimovic på kristina@kraftsam.se Vi ser fram emot din ansökan!

CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG

Vi söker en engagerad och noggrann avdelningsadministratör för ett föräldravikariat. Du kommer att spela en viktig roll i att stödja institutionen för data- och informationsteknik med effektivt och ändamålsenligt administrativ service. Information om avdelningen https://www.chalmers.se/institutioner/cse/ är en integrerad institution mellan Göteborgs universitet och Chalmers tekniska högskola AB, belägen på campus Johanneberg och campus Lindholmen i Göteborg. Dess verksamhet omfattar högklassig forskning, utbildning och nyttiggörande inom områden som AI & machine learning, software- & hardware engineering, computer science, security, network & systems. Organisationen består av ca 350 anställda med en hög internationell sammansättning med individer från över 50 nationaliteter. Beskrivning av tjänsten Som administratör är du en nyckelperson som hanterar allt från rutinuppgifter till akuta frågor som måste lösas här och nu. I rollen stöttar du en av våra vetenskapliga avdelningar med personaladministration, beställningar, workshops, resor, gästhantering, akademiska högtider m.m. Då verksamheten är integrerad är du aktiv inom både Göteborgs universitet och Chalmers tekniska högskola och vid båda våra campus Johanneberg och Lindholmen. Du kommer ha din huvudsaklig arbetsplats på campus Lindholmen. I rollen nätverkar du aktivt både inom avdelningen, institutionen och de båda huvudmännen. Vi ser även att du tillsammans med dina kollegor är med och utvecklar våra rutiner för att säkerställa en hög servicenivå såväl internt som externt. Dina arbetsuppgifter omfattar bland annat: Introduktion av nyanställda Bokning och beställningar i samband med akademiska högtider Diareföring/arkivering/även protokollskrivning kan ingå Inköp Ansvar för administration av konferenser och möten Bokning av resor och hotell för såväl anställda som externa gäster Ekonomiadministration som t.ex. arvodesräkningar och kontering av fakturor Felanmälan av faciliteter m.m. Arbetsuppgifterna kan variera efter behov. Anställningsform Tidsbegränsad anställning i form av ett föräldravikariat på heltid under cirka ett år, med start i oktober 2026 eller enligt överenskommelse. Kvalifikationer Vi söker dig som: har lägst gymnasieutbildning men gärna utbildning på högskolenivå (eller motsvarande) har flerårig erfarenhet av administrativt arbete har god datorvana är van användare av Officepaketet kommunicerar väl på både svenska och engelska då vi verkar i en internationell miljö Det är meriterande om du har: erfarenhet av liknande arbetsuppgifter inom statlig verksamhet kunskap i Agresso, Proceedo, Primula eller andra relaterade system som Göteborgs universitet och Chalmers använder För att lyckas i rollen ser vi att du: har ett genuint intresse för människor och trivs med att samarbeta med andra är serviceinriktad och tycker om att ge stöd till verksamheten arbetar självständigt och tar egna initiativ har förmåga att identifiera och genomföra förbättringar i administrativa arbetssätt är strukturerad, noggrann och flexibel kan planera, prioritera och hantera flera uppgifter samtidigt Att arbeta på Chalmers Chalmers värdeord: öppenhet, respekt, delaktighet, mångfald och kvalitet, genomsyrar synen på vår arbetsmiljö och våra medarbetare. Vi erbjuder en stimulerande arbetsplats i en akademisk miljö, där studenter och medarbetare drivs av att skapa värde för en hållbar framtid. Våra förmåner för anställda omfattar bland annat: Flexibilitet att arbeta på distans med hänsyn till verksamhetens behov. Semester upp till sju veckor per år. Kollektivavtal med föräldralön, sjukpenningtillägg, läkemedelskostnader, löneväxling, pension, inarbetade dagar samt flextid. Friskvårdsbidrag samt en friskvårdstimma varje vecka under betald arbetstid. Här kan du läsa mer om våra https://www.chalmers.se/om-chalmers/arbeta-hos-oss/chalmers-som-arbetsgivare/formaner-och-villkor/ och hur det är att https://www.chalmers.se/om-chalmers/arbeta-hos-oss/. Ansökningsförfarande Ansökan ska vara märkt med namn och dokumenten sparas som PDF-filer enligt nedan: CV Personligt brev 1-2 sidor Bakgrundskontroll kan komma att genomföras som en del av ansökningsprocessen. Sista ansökningsdag: 14 augusti Vid frågor, vänligen kontakta Anna Engkvist Administrativ chef anna.engkvist@chalmers.se *** Chalmers undanber sig alla erbjudanden om ytterligare jobbannonsering eller rekryteringsstöd i samband med denna rekrytering. *** Chalmers tekniska högskola i Göteborg forskar och utbildar inom teknik och naturvetenskap på hög internationell nivå. Universitetet har 3 100 anställda, 10 000 studenter och utbildar ingenjörer, arkitekter och sjöbefäl. Med vetenskaplig excellens som grund utvecklar Chalmers kompetens och tekniska lösningar för en hållbar värld. Genom globalt engagemang och entreprenörsanda skapar vi innovationskraft, i nära samarbete med övriga samhället. Chalmers grundades 1829 och har än idag samma motto: Avancez – framåt.