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Vi söker en entusiastisk och motiverad juniormekaniker för att ansluta till vår kunds team. Om tjänsten: Som juniormekaniker kommer du att arbeta under uppsikt av erfarna mekaniker och lära dig färdigheterna för att bli en framgångsrik mekaniker. Vi erbjuder en spännande och utvecklande arbetsmiljö hos några av landets företag i fordonsbranschen. Du kommer bland annat: -Assistera erfarna mekaniker med reparationer och underhåll av fordon och utrustning -Lära sig och använda verktyg och utrustning som krävs för att utföra arbetsuppgifter -Felsöka, diagnostisera och rapportera eventuella problem med fordon och utrustning -Utföra underhåll och service på fordon och utrustning enligt schemalagd serviceplan -Följa arbetsplatsens säkerhetsföreskrifter och procedurer Vi söker dig som: -Tidigare erfarenhet av fordonsmekanik är en fördel men inte ett krav -Teknisk utbildning inom mekanik är önskvärt men inte ett krav -God förmåga att arbeta i team och kommunicera tydligt -Grundläggande kunskaper i datoranvändning -Förmåga att lära sig nya färdigheter och uppgifter snabbt och effektivt Vi erbjuder: • Anställning via Aura Personal med kollektivavtal och marknadsmässig lön • Ett varierande och utvecklande uppdrag i en professionell miljö • Stöd från engagerad konsultchef genom hela anställningen • Möjlighet till längre uppdrag eller vidare karriärmöjligheter via oss Ansök redan idag! Vi behandlar ansökningarna löpande och tjänsten kan komma att tillsättas innan sista ansökningsdatum. Välkommen med din ansökan till Aura Personal – där rätt kompetens möter rätt möjligheter.
Vi söker en entusiastisk och motiverad juniormekaniker för att ansluta till vår kunds team. Om tjänsten: Som juniormekaniker kommer du att arbeta under uppsikt av erfarna mekaniker och lära dig färdigheterna för att bli en framgångsrik mekaniker. Vi erbjuder en spännande och utvecklande arbetsmiljö hos några av landets företag i fordonsbranschen. Du kommer bland annat: -Assistera erfarna mekaniker med reparationer och underhåll av fordon och utrustning -Lära sig och använda verktyg och utrustning som krävs för att utföra arbetsuppgifter -Felsöka, diagnostisera och rapportera eventuella problem med fordon och utrustning -Utföra underhåll och service på fordon och utrustning enligt schemalagd serviceplan -Följa arbetsplatsens säkerhetsföreskrifter och procedurer Vi söker dig som: -Tidigare erfarenhet av fordonsmekanik är en fördel men inte ett krav -Teknisk utbildning inom mekanik är önskvärt men inte ett krav -God förmåga att arbeta i team och kommunicera tydligt -Grundläggande kunskaper i datoranvändning -Förmåga att lära sig nya färdigheter och uppgifter snabbt och effektivt Vi erbjuder: • Anställning via Aura Personal med kollektivavtal och marknadsmässig lön • Ett varierande och utvecklande uppdrag i en professionell miljö • Stöd från engagerad konsultchef genom hela anställningen • Möjlighet till längre uppdrag eller vidare karriärmöjligheter via oss Ansök redan idag! Vi behandlar ansökningarna löpande och tjänsten kan komma att tillsättas innan sista ansökningsdatum. Välkommen med din ansökan till Aura Personal – där rätt kompetens möter rätt möjligheter.
We are currently seeking an Extra Chef to join our dynamic culinary team at Radisson Blu Waterfront Hotel & Stockholm Waterfront Congress Centre. At Radisson Hotel Group, we look beyond the resume. We are searching for passionate individuals with character, creativity, and a genuine commitment to delivering memorable guest experiences. If you thrive in a fast-paced environment, enjoy working as part of a talented team, and have a passion for gastronomy, we would love to hear from you. About the Role As an Extra Chef, you will play an important role in delivering exceptional food experiences across the hotel’s restaurants, banqueting operations, and events. You will bring energy, innovation, and a commitment to quality while supporting the kitchen team in maintaining the highest culinary standards. Key Responsibilities Support the smooth and efficient operation of the kitchen department, ensuring exceptional culinary experiences throughout the hotel. Prepare and present high-quality dishes in accordance with brand standards and guest expectations. Work collaboratively with colleagues to maximize guest satisfaction, responding positively and professionally to requests and challenges. Take ownership of assigned tasks and responsibilities, ensuring work is completed efficiently and to a high standard. Contribute to departmental goals and hotel objectives, supporting operational excellence and business performance. Assist in controlling food costs, stock levels, and waste while maintaining productivity and quality standards. Build strong working relationships with team members and actively promote the company’s culture and values. Ensure full compliance with food safety, hygiene, health and safety, and all relevant legislation and company standards. Support audit requirements by maintaining accurate documentation and following established procedures. Qualifications Previous experience in a professional kitchen environment in banquet and à la carte. Passion for food, quality, and continuous learning. Ability to work efficiently under pressure in a fast-paced setting. Strong teamwork and communication skills. Flexibility to work evenings, weekends, and special events as required. A positive attitude and commitment to delivering outstanding guest experiences.
👋 ABOUT ENGAGE STUDIOS We design, innovate and build digital / physical products for the world's largest - and Sweden's smallest company. Our guiding principle is to make a difference - for the better. Ideas are good and execution is the success factor. We are people and teams who are not afraid to question, roll up our sleeves and laugh all the way to the finish line. Since the start in 2009, we have worked with basically all manufacturing / developing companies in Sweden. The Volvo companies, IKEA, H&M, Electrolux, Lynk&Co, Zeekr, Houdini to name a few. Our customers are in the traditional Swedish industry all the way to innovative startups in Silicon Valley. They are not found in oil drilling or the military industry. We are determined to make our presence and work known with passionate and dedicated employees who love design, tech and people. 🚀 WE OFFER At Engage Studios, you will work in many different industries for different customers. You will work with incredibly smart and dedicated colleagues. Together we develop products and services that you can brag about to your friends. We at Engage Studios are always at the forefront of technology development. We develop and share knowledge with each other to get better tomorrow. With us, you get the opportunity to realize your dreams, big and small. 📝 JOB DESCRIPTION The consultant will support AI prototyping and early-phase feasibility assessments for next-generation vehicle systems. The role focuses on turning ideas into prototypes, validating technical viability, and assessing measurable value compared to existing solutions. Key responsibilities include: • Working with domain experts (vehicle dynamics, energy management, intelligent drive) to identify problems where AI can create value • Building and testing early prototypes using real or simulated data • Defining and evaluating KPIs such as efficiency improvements, performance gains, robustness, and cost/complexity reduction • Benchmarking results against baseline and state-of-the-art approaches • Supporting feasibility assessments (data availability, compute/latency constraints, integration complexity) • Documenting findings and contributing to go/no-go decisions • Contributing to reusable tools, experiment setups, and prototype frameworks ✅ REQUIREMENTS • Degree in AI, Computer Science, Robotics, Engineering, or similar • 1–3 years of experience (including thesis/projects) • Strong Python skills and experience with ML frameworks (PyTorch, TensorFlow, or Keras) • Solid understanding of ML fundamentals, evaluation metrics, over fitting control, and experiment structure • Hands-on experience or exposure to computer vision, pattern recognition, or deep learning • Ability to structure open-ended problems and learn quickly • Good collaboration skills with domain experts • Portfolio, GitHub, thesis, or prototype work is highly valued • Python • PyTorch / TensorFlow / Keras • Pandas, NumPy, Jupyter notebooks • MLflow, Git, Docker, CI/CD (basic level) • Optional: LangChain, Dify, vLLM, LLaMA-based tooling • Domain tools depending on use case (simulation, vehicle data) 💫 YOUR PROFILE Curious and fast-learning Analytical and structured Comfortable working with open-ended, exploratory problems Collaborative and communicative Value-driven mindset focused on feasibility and measurable impact If you are passionate about development, we want to hear from you. Please apply with your resume, portfolio, and a cover letter highlighting your relevant experience and qualifications. 🌈 MERITS * International experience * Visually communicative * Tons of Passion 🏙 PLACE OF EMPLOYMENT Gothenburg 💭 OTHER For questions regarding this position please contact hiring manager Susanne Lidén on susanne@engagestudios.com. Applications must be submitted through the official Career site.
Nordnet is a leading pan-Nordic digital platform for savings and investments. Ever since our start in 1996, our purpose has been to democratize savings and investments. Through passion, simplicity, and transparency, we challenge traditional ways in the financial industry, and give private savers access to the same information, tools and services as professionals. Our ambition is to inspire, encourage and enable people to take their savings to the next level, no matter who they are. This is part of the role We are looking for a highly engaged Nordnet employee as system manager for AbaSec. You will be part of the Tech organization and report to the IT Operations Manager for system management, within the Change & System Management department. You will be one of three system managers for AbaSec and operate on an operative and tactical level, whilst also supporting the system owner on a strategical level. You will collaborate with a large number of stakeholders from almost all departments within Nordnet including product owners, business analysts, engineers, and operational departments. On a daily basis, you will work with system management including development, user management, support, maintenance, and act as the primary contact both internally and to our third-party supplier. On top of that, you will help contribute to the department's overall goals which are to increase the scalability at Nordnet and cut costs. The time spent between system management and other projects will vary over time, depending on the Abasec roadmap, your interest and your personal development. The role includes: Lead and coordinate development projects in and around AbaSec. Capture and meet the demands and requirements together with stakeholders and business owners Coordinate with supporting and interacting systems Coordinate change activities and development issues Manage the relationship with the vendors on an operative and tactical level Financial follow-up This is you We believe that you are ready to take the next step in your career and wish to develop further. You are careful with details and at the same time easily able to see the larger picture in a process or in an area of work. Social skills together with a technical interest will be the key to your success since you will be working ”in the middle” of things and have contacts both with internal users and external parties. You have a high drive together with a high commitment and you are comfortable with working independently, in an environment where priorities change. Making fast decisions comes natural to you. In addition to this, you have a high learning ability and you are very curious to learn deeply about the technical side of Nordnet, how things connect, and how data hangs together. To succeed in the role, we see that you have experience of Work independently and drive your own initiatives Have a deep and broad knowledge of bank back-end processes Knowledge in AbaSec or similar systems Effective in stakeholder management Knowledge in T-SQL is a merit This is us We value experimentation and continuous improvement. With an impartial approach, we welcome new ideas to boost our progress. Sharing knowledge and learning from our setbacks is part of the game. We have the courage to ask questions and admit that we do not have the answer, all the time. We believe that straightforward and transparent communication build trust and inclusion. Culture is built and cared for, each day by everyone. We’re proud of ours. Having a flat organization where anyone can talk to anyone creates a warm and friendly atmosphere worth protecting. We believe in a culture where every effort counts and where everyone is being recognized. A culture embracing our core values – passion, simplicity and transparency on all levels, no matter who you are or what you do. Questions & Application Please note that we do only accept applications through our recruitment system, hence no email applications will be considered. If you have questions, please contact Lovisa Malmberg, Talent Acquisition Partner, lovisa.malmberg@nordnet.se. We also want to inform you that Nordnet conducts mandatory credit and background checks, as well as drug testing as a part of our recruitment process. We look forward to receiving your application!
Nordnet is a leading pan-Nordic digital platform for savings and investments. Ever since our start in 1996, our purpose has been to democratize savings and investments. Through passion, simplicity, and transparency, we challenge traditional ways in the financial industry, and give private savers access to the same information, tools and services as professionals. Our ambition is to inspire, encourage and enable people to take their savings to the next level, no matter who they are. This is part of the role We are looking for a highly engaged Nordnet employee as system manager for AbaSec. You will be part of the Tech organization and report to the IT Operations Manager for system management, within the Change & System Management department. You will be one of three system managers for AbaSec and operate on an operative and tactical level, whilst also supporting the system owner on a strategical level. You will collaborate with a large number of stakeholders from almost all departments within Nordnet including product owners, business analysts, engineers, and operational departments. On a daily basis, you will work with system management including development, user management, support, maintenance, and act as the primary contact both internally and to our third-party supplier. On top of that, you will help contribute to the department's overall goals which are to increase the scalability at Nordnet and cut costs. The time spent between system management and other projects will vary over time, depending on the Abasec roadmap, your interest and your personal development. The role includes: * Lead and coordinate development projects in and around AbaSec. * Capture and meet the demands and requirements together with stakeholders and business owners * Coordinate with supporting and interacting systems * Coordinate change activities and development issues * Manage the relationship with the vendors on an operative and tactical level * Financial follow-up This is you We believe that you are ready to take the next step in your career and wish to develop further. You are careful with details and at the same time easily able to see the larger picture in a process or in an area of work. Social skills together with a technical interest will be the key to your success since you will be working ”in the middle” of things and have contacts both with internal users and external parties. You have a high drive together with a high commitment and you are comfortable with working independently, in an environment where priorities change. Making fast decisions comes natural to you. In addition to this, you have a high learning ability and you are very curious to learn deeply about the technical side of Nordnet, how things connect, and how data hangs together. To succeed in the role, we see that you have experience of * Work independently and drive your own initiatives * Have a deep and broad knowledge of bank back-end processes * Knowledge in AbaSec or similar systems * Effective in stakeholder management * Knowledge in T-SQL is a merit This is us We value experimentation and continuous improvement. With an impartial approach, we welcome new ideas to boost our progress. Sharing knowledge and learning from our setbacks is part of the game. We have the courage to ask questions and admit that we do not have the answer, all the time. We believe that straightforward and transparent communication build trust and inclusion. Culture is built and cared for, each day by everyone. We’re proud of ours. Having a flat organization where anyone can talk to anyone creates a warm and friendly atmosphere worth protecting. We believe in a culture where every effort counts and where everyone is being recognized. A culture embracing our core values – passion, simplicity and transparency on all levels, no matter who you are or what you do. Questions & Application We will start reviewing applications after the summer holidays. Please note that we do only accept applications through our recruitment system, hence no email applications will be considered. If you have questions, please contact Lovisa Malmberg, Talent Acquisition Partner, lovisa.malmberg@nordnet.se. We also want to inform you that Nordnet conducts mandatory credit and background checks, as well as drug testing as part of our recruitment process. We look forward to receiving your application!
We are looking for a Learning Specialist/People Development for a company in Gothenburg. Start is ASAP, 9 months limited contract to begin with. This role is 100% onsite in Gothenburg. Assignment description and main responsibilities The Learning Specialist is responsible for driving learning and development initiatives that strengthen individual and organizational capabilities. The role combines program creation, coordination, facilitation, content creation, and learning administration to ensure employees and leaders have access to relevant, effective development opportunities. Working closely with stakeholders across HR and the business, the role contributes to the design, delivery, and continuous improvement of learning programs, tools, and development activities that support business needs and employee growth. Design, develop, and evaluate various learning initiatives e.g. onboarding, mandatory trainings and talent programs. Run and contribute to projects related to learning, capability building, and people development. Contribute to the continuous improvement of learning offerings by incorporating feedback, business needs, and external best practices. Create structured and accessible learning resources and tools that support development in everyday work. Collaborate with subject matter experts and stakeholders to ensure training content is accurate, relevant and engaging. Facilitate HR related training sessions and workshops Administrate and coordinate learning activities, programs, mandatory trainings, and related processes. Manage the learning platform and oversee tracking, reporting and audits. As well as analysis of training activities, participation, and program effectiveness. Identifying insights and driving improvement actions. Competence requirements Strong communication skills, with the ability to engage and collaborate with stakeholders across the organization. Excellent presentation and facilitation skills, with the ability to engage learners. Ability to translate learning needs into practical tools, activities, and development solutions. Ability to work with data, reporting, and follow-up of learning activities. Strong business acumen and ability to connect learning initiatives to business needs. Experience 5 years of experience in a Learning & Development role or a similar people development position. Experience creating, designing, coordinating, and facilitating learning programs, workshops, and training initiatives. Experience developing learning materials, tools, and guidance to support employee development. Experience with learning administration in LMS (preferably Workday learning), reporting, and follow-up on learning activities and outcomes. Experience using learning data and feedback to evaluate effectiveness and improve learning initiatives is an advantage. Experience working in a global and/or multicultural environment is preferred Other requirements Strong interpersonal and communication skills confident in working with senior stakeholders Proactive and organized able to manage multiple recruitments simultaneously. This role requires fluency in English. This is a full-time consultant position in Gothenburg through Incluso. Start is ASAP, 9 months limited contract to begin with. This role is 100% onsite in Gothenburg. Please submit your CV as soon as possible since we will review the applications on an on-going basis. For more information about this role, please contact Marianne Nilsson recruiter at Incluso.
Position Overview The Applied Machine Learning Lead is a senior, hands-on role responsible for ensuring Data Science and Machine Learning initiatives deliver measurable business value. The role combines product ownership, roadmap management, advanced analytics, production-ready machine learning engineering, experimentation ownership, technical standards, and deep iGaming expertise. The focus is on identifying high-value opportunities, prioritising initiatives, delivering robust and scalable data science solutions, evaluating outcomes, and driving adoption of data-driven decision-making across the business. Success in this role is measured not only by model performance, but by the impact those models have on player behaviour, commercial outcomes, product performance, and the ability of the Data Science function to deliver reliable, reusable, and scalable solutions. Key Responsibilities Lead and perform advanced commercial and business-focused analyses to support strategic decision-making. Design, build, deploy, and maintain production-grade statistical and machine learning models, applying software engineering best practices to improve maintainability, reliability, testing, observability, and speed from experimentation to production. Own the end-to-end experimentation lifecycle, from hypothesis definition and experiment design through implementation, validation, analysis, interpretation, and iterative optimisation. Ensure analytical recommendations and model outcomes are grounded in statistically sound methods and commercially meaningful results. Review, validate, and challenge analytical work, experiments, and machine learning models to ensure technical correctness, robustness, scalability, and business relevance. Own and manage the data science backlog and roadmap, prioritising work in collaboration with stakeholders Translate complex business problems into well-scoped initiatives with clear objectives, success criteria, and measurable outcomes. Provide technical leadership on modelling approaches, feature engineering, validation methods, experimentation design, deployment practices, and continuous improvement of machine learning solutions Develop reusable machine learning capabilities, analytical workflows, and technical standards to improve quality, consistency, scalability, and efficiency across the Data Science function. Establish and promote standards for model review, documentation, feature engineering, validation, testing, monitoring, and production readiness. Drive continuous improvement of the machine learning platform and team practices, including MLOps, AI-assisted development, automation, engineering productivity, and modern ways of building and operating ML systems. Support and ensure adherence to governance, lifecycle management, and relevant policies and processes. Monitor model performance, data drift, and impact; ensure appropriate retraining and continuous improvement. Lead and manage the Data Science team, including coaching, feedback, performance discussions, and day-to-day prioritisation. Collaborate closely with product, developers, and commercial teams to deliver data-driven solutions end-to-end Communicate insights, trade-offs, and recommendations clearly to both technical and non-technical audiences Requirements Extensive experience in applied data science, analytics, and machine learning. Strong proficiency in Python. Solid understanding of statistical modelling, predictive analytics, experimentation, hypothesis testing, causal reasoning, and model validation. Experience designing, analysing, and interpreting experiments such as AB tests. Experience working with SQL and large-scale datasets (e.g. in Databricks / Spark environments). xperience designing, deploying, maintaining, or reviewing models in production or business-critical workflows. Practical understanding of software engineering best practices relevant to machine learning, including testing, version control, code review, documentation, monitoring, and maintainability. Experience with MLOps concepts and practices, including model lifecycle management, monitoring, retraining, deployment workflows, and production readiness. Hands-on experience with cloud platforms such as AWS, Azure, or GCP. Proven experience leading or mentoring data scientists in a professional setting. Experience working cross-functionally with product, engineering, analytics, commercial, or operational teams to deliver measurable outcomes. Experience in iGaming, gaming, e-commerce, fintech, or another high-volume digital product environment.Strong analytical judgement and structured problem-solving ability. Confident technical leader with the ability to challenge, guide, and improve others’ work. Strong understanding of how to build reliable, maintainable, and production- ready machine learning solutions, not just experimental models Clear, concise communicator able to influence both technical and non- technical stakeholders. Comfortable making prioritisation decisions in environments with competing demands and incomplete information The above duties provide a generic description of the Employee’s day to day responsibilities but should in no way be deemed to be an exhaustive list. Additional related, duties may be assigned by the Line Manager in line with business exigencies and continuity. Why Work With Us? At Silverspin, we take bold but thoughtful approaches to what we build and how we work. We act with confidence and responsibility, focusing on smart decisions, meaningful impact, and long-term success. Joining us means being part of a team that values curiosity, ownership, and collaboration. We encourage people to challenge ideas, simplify complexity, and grow together - creating an environment where great work (and good energy) go hand in hand. We offer: Competitive salary and benefits Opportunities to learn, grow, and develop A creative, collaborative team environment Silverspin is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Lead Project Engineer About Us At Aventix, we create sensor-based solutions that transform how laboratories collect and analyze data across a wide range of industries. By combining sensors with cutting-edge software, we help scientists achieve results faster, more accurately, and more reproducibly. The Project We are building a cost-effective, innovative new product for imaging and quantifying low volumes in micro well plates. We have established the foundational elements—from hardware prototyping and machine learning model development to our core backend and frontend architecture. We are now looking for a driven Lead Engineer for a highly focused, 3-month project employment. We have a highly defined customer case to solve, providing you with clear objectives and delivery targets. Your mission will be to take full ownership of the product – from the machine learning architecture and pipeline, optimizing and deploying our computer vision models for production, to working closely with our software and hardware team to integrate and develop the backend and frontend – to deliver a seamless user experience. By the end of this 3-month project, you will have led the transition of the ML model of this project from its current development phase into a fully functional and customer-ready product. What will the project include? Acting as the technical lead of the product, including the machine learning and computer vision aspects. Developing, optimizing, and deploying existing computer vision/ML models to reliably analyze low-volume imaging data. Working closely with the software team to integrate ML outputs seamlessly with our backend and frontend architecture. Troubleshooting and resolving model performance and data-processing bottlenecks. Solving our specific customer use case reliably, which serves as a primary deliverable for this project. Driving the project execution to hit the 3-month target for a customer-ready product. Which programs and tools will you work with? Python as the primary language for machine learning and pipeline development. Deep learning frameworks (PyTorch or TensorFlow) and vision libraries (OpenCV). Modern full-stack web technologies (React, TypeScript, .NET, C++). You will interface with these through close collaboration with the team for system orchestration and the user interface. Embedded systems and hardware-software communication interfaces. Required Skills Must-Have Experience as a Machine Learning Engineer, Computer Vision Specialist, or closely related role. Strong proficiency in Python and how to deploy, optimize, and interface with machine learning models in production environments. Excellent team collaboration skills, with the ability to work closely with full-stack developers and hardware engineers to deliver a cohesive user experience. A highly product-oriented, problem-solving mindset tailored for fast-paced, milestone-driven development. Ability to quickly read and understand an existing codebase to take ownership of the ML architecture. Nice-to-Have Prior experience building or integrating laboratory instrumentation, optical imaging systems, or robotics. Experience taking a prototype from the R&D phase to a commercial launch. Familiarity with handling image or sensor data in real-time software applications.
SUMMARY OF THE ROLE: As ML Engineer at Maze, you'll be the technical leader driving our machine learning infrastructure from experimentation to production, ensuring our AI-powered cybersecurity solutions deliver measurable impact for customers worldwide. This is a unique opportunity to join as one of the early engineering team members of a well-funded startup building breakthrough applications of LLMs and AI agents in cybersecurity. You'll take full ownership of evaluation frameworks, production ML pipelines, and cross-team ML integration, working closely with our CTO and product teams to transform cutting-edge AI research into robust, scalable solutions that solve real security challenges. Your success will be measured by agent performance improvements and product innovation impact, not just technical metrics. This role is perfect for a hands-on ML engineer who has scaled production ML systems across multiple companies, thinks like a product builder, and wants to drive the actual productionization of LLMs and ML to solve significant pain points. YOUR CONTRIBUTIONS TO OUR JOURNEY: * Build Production-Grade Evaluation Systems: Design and implement comprehensive evaluation frameworks that measure agent performance, track improvements over time, and ensure our AI systems deliver consistent value to customers * Drive Experimentation-to-Production Pipeline: Own the entire ML lifecycle from prototype to production, building scalable systems that enable rapid iteration while maintaining reliability and performance in customer environments * Enable Cross-Team ML Integration: Work closely with product teams to seamlessly integrate ML capabilities into customer-facing features, ensuring technical excellence translates into user value and product differentiation * Optimize AI Agent Performance: Continuously improve our AI agents through systematic experimentation, prompt engineering, and architectural enhancements, measuring success through customer impact and system performance * Scale ML Infrastructure: Build the foundational ML systems, monitoring, and tooling that will support our growth from startup to scale, ensuring we can deploy new capabilities quickly without compromising quality * Partner with Engineering Leadership: Collaborate directly with our CTO through regular check-ins and strategic alignment while operating with high autonomy and self-direction in day-to-day execution * Mentor Through Excellence: Provide natural mentorship to junior ML engineers through code reviews, technical guidance, and sharing practical experience from building production ML systems WHAT YOU NEED TO BE SUCCESSFUL: * Proven Production ML Experience: 6+ years building and scaling machine learning systems in production environments, with hands-on experience moving from experimentation to customer-facing deployments * Deep Neural Networks Foundation: Strong background in classical neural networks and deep learning fundamentals before specializing in modern LLMs and transformer architectures - you understand the foundations, not just the latest tools * Product-Focused ML Mindset: Experience building ML systems that solve real business problems, with a track record of integrating classification, prediction, or recommendation systems into actual products customers use * Multi-Company Perspective: Experience across multiple organizations (scale-ups, startups, or combination), giving you practical knowledge of what tools to build vs buy and how to avoid over-engineering * Technical Versatility: Strong Python skills with flexibility across ML frameworks and tools - comfortable adapting to our stack including LangChain, evaluation frameworks, and workflow orchestration tools like Temporal * Self-Directed Leadership: Ability to operate autonomously while maintaining close alignment with leadership, comfortable with frequent check-ins but capable of driving projects independently * Cross-Functional Collaboration: Experience working closely with product teams and potentially customers, translating technical capabilities into business value and user experiences * Nice to Haves: * Experience with AI agents, LLMs, or modern generative AI applications * Cybersecurity domain knowledge or experience applying ML to security challenges * Background at ML-first companies or organizations where ML was core to the product * Experience with modern MLOps practices and cloud-based ML infrastructure * Track record of optimizing model performance and controlling AI system costs WHY JOIN US: * Real-World AI Impact: Drive the actual productionization of LLMs and machine learning to solve significant cybersecurity pain points - your work will directly protect organizations from real threats, not just optimize internal metrics * Technical Leadership Opportunity: Work directly with our CTO on cutting-edge ML infrastructure while having the autonomy to shape technical decisions and build systems that scale with our hypergrowth * Expert Team Partnership: Join a team of hands-on leaders with experience in Big Tech and Scale-ups, including leadership team members who have been part of multiple acquisitions and an IPO * Build the AI-Native Future: Shape how generative AI transforms cybersecurity from the ground up, establishing ML practices and technical standards that will define the industry * Multiple Growth Pathways: Clear opportunities to grow into Head of ML Engineering, become a domain technical lead, move into customer-facing technical roles, or excel as a senior individual contributor - the choice is yours based on your interests and our needs * Breakthrough Technology: Work at the intersection of generative AI and cybersecurity, building solutions that leverage the latest advances in LLMs and AI agents to solve some of the most pressing challenges security teams face today
Residential heating is one of Europe’s largest sources of CO₂ emissions, while energy prices remain unpredictable for many households. At Aira, we’re on a mission to change that. Founded in 2022 and now employing more than 800 people, we develop and install clean energy solutions—including heat pumps, solar panels, and battery systems—powered by intelligent technology that helps homes operate more efficiently. Our goal is simple: to help households reduce both their carbon footprint and their energy costs. With headquarters in Stockholm, Sweden, a state-of-the-art manufacturing facility in Poland, and hubs across the UK, Germany, and Italy, Aira is rapidly scaling to bring clean energy technology to 5 million homes by 2034. About the role In the Energy Optimization team, we build optimization and machine learning systems that help control when heat pumps run, when batteries charge or discharge, and when it makes sense to export energy to the grid. We are also building new flexibility capabilities by coordinating fleets of homes to support the grid when it matters most. We’re looking for a Machine Learning Engineer to join this product team. You’ll work on models and systems that turn messy real-world signals into reliable decisions for customers’ homes. This includes building and improving forecasting and optimization models, productionising them, monitoring their performance, and iterating based on real-world outcomes. You’ll work closely with Product, Engineering, Design, and other teams to ship customer-facing intelligence that is reliable, understandable, and valuable. We value clear communication, thoughtful collaboration, curiosity, and a pragmatic approach to problem-solving. If you enjoy turning ML models into production systems that create measurable customer impact, we would like to hear from you. What you’ll be doing * Build and improve ML and optimization models that power customer-facing energy optimization features. * Work on time-series forecasting, scheduling, and decision models for heat pumps, batteries, solar, tariffs, weather, and customer behaviour. * Productionise and own models end-to-end, including deployment, monitoring, reliability, and iteration based on real-world outcomes. * Run experiments on real customer systems, evaluate impact, and turn results into product decisions. * Contribute to initiatives from discovery to production impact, helping define success metrics and align with stakeholders. * Communicate clearly with technical and non-technical audiences, explaining trade-offs, uncertainty, model behaviour, and what is good enough to ship. What you’ll bring to the role * Experience building ML, data, or optimization systems that are used in real-world products. * Good programming skills in Python and software engineering fundamentals. * Experience taking models beyond notebooks, including evaluation, testing, deployment, or monitoring. * Experience with cloud platforms such as AWS, GCP, or Azure. * Comfort working with real-world data, including ambiguity, imperfect signals, and changing requirements. * A pragmatic, product-oriented mindset: you care about measurable customer impact, not model complexity for its own sake. * Clear communication skills and the ability to collaborate well in cross-functional teams. Bonus points if you have * Experience with energy systems, electricity markets, demand response, or flexibility. * Experience with constrained optimization, control systems, or physical systems modelling. What is in it for you? * Gain hands-on experience in a fast-growing scale-up, with a supportive and inclusive culture, and career advancement opportunities. * Collaborate with diverse teams across international markets and launch products globally. * Develop and grow personally and professionally in an entrepreneurial-minded environment. * Thrive in a dynamic, solution-oriented culture, tackling challenges and driving meaningful solutions that make a positive impact on the world. * Influence the company's success, with a visible impact on product development and market growth. * Enjoy our brand-new office at Norra Stationsgatan 93 in Stockholm. Conveniently located near public transport, with Sankt Eriksplan and Odenplan stations just a few minutes walk away. At Aira, we champion next-generation energy as well as diversity and inclusion. We firmly believe that a diverse workforce fosters innovation and creativity, enhancing our ability to serve customers and communities effectively. We welcome individuals from all backgrounds, cultures and perspectives to join our team. Our commitment is to uphold equality and inclusivity, fostering a collaborative environment where everyone can thrive and contribute to a better future for our people and the planet.
Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior ML Engineer, you will be working hands-on to optimise the training and deployment of ML models to be quick and cost-efficient. You will also be at the forefront of putting our ML models on mobile devices to enhance data privacy and customer experience. To achieve this, you will need to collaborate with teams across Truecaller to establish best practices and tools for efficient ML model development and deployment, particularly on mobile platforms. You will be expected to help Truecaller reach and remain at the cutting edge of ML training and deployment, and to explore new frontiers such as federated learning. What you will do * Understand the current and future needs of developers and the organisation, and create a roadmap with your manager for meeting those needs. * Work with teams across Truecaller, enabling them to deploy models to production quickly and cost-effectively. * Work hands-on with teams throughout Truecaller to optimise ML models for mobile devices. * Be the go-to expert for developing models for mobile devices as well as deploying them. * Staying up to date with the latest trends and technologies in ML Engineering, especially ML on mobile phones, and driving continuous innovation throughout Truecaller. What you bring in * Degree in computer science or equivalent * 5+ years of experience in machine learning engineering, with a focus on deploying ML models in production environments. * A strong understanding and experience to optimise feature engineering, model training, and model deployment. * Hands-on experience deploying ML models on mobile devices (e.g., TensorFlow Lite, Core ML, ONNX Runtime Mobile). * Strong understanding of machine learning frameworks (TensorFlow, PyTorch, ONNX) and their deployment on mobile platforms. * Understanding of both Android and iOS development and how that impacts ML model deployment and usage. * Strong communication and collaboration skills, with the ability to work effectively across different teams and disciplines. * A customer-focused mindset. * Excellent communication skills in spoken and written English. What we offer: We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: * A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you. Check out Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/ Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.
About the Role ManoMotion is looking for a highly skilled Computer Vision Engineer to develop robust, high-performance vision solutions for real-world applications. Our AI Engineers manage the day-to-day work related to neural-network architecture, training, testing, and data management. This role will work closely with them while focusing more deeply on the complete computer-vision system. You will combine machine learning with advanced image analysis, detection, tracking, geometry, filtering, and algorithmic methods to improve the accuracy, stability, latency, and reliability of our products. We are looking for someone who understands that a production-ready vision solution often requires more than a neural network. You should be able to identify model limitations and build additional processing, tracking, filtering, calibration, and decision logic around the AI models to achieve a reliable final product. You will also take technical ownership of customer solutions, from understanding requirements and designing the system to implementation, deployment, and validation. Responsibilities Design complete computer-vision solutions combining AI/ML, image processing, tracking, geometry, and rule-based algorithms. Develop algorithms for image analysis, object detection, segmentation, motion analysis, pose estimation, and tracking. Build pre-processing and post-processing layers around AI models to improve accuracy, stability, and robustness. Analyse failure cases and determine whether they should be addressed through model improvements, additional data, tracking, filtering, image processing, or system-level logic. Work closely with AI Engineers responsible for model architecture, training, testing, and datasets. Integrate trained models into reliable, real-time computer-vision systems. Optimize vision pipelines for latency, frame rate, memory usage, and edge hardware. Take end-to-end technical ownership of customer solutions and integrations. Participate in customer meetings, technical workshops, demonstrations, and on-site validation. Build maintainable, testable, and production-quality software. Use modern AI-assisted development tools such as Cursor, Claude, ChatGPT, Copilot, and other relevant tools to accelerate development, testing, debugging, and documentation. Stay updated on advances in computer vision, machine learning, and AI-assisted software development. Key Qualifications Master’s degree, PhD, or equivalent professional experience in Computer Science, Computer Vision, Electrical Engineering, Robotics, Machine Learning, or a related field. At least 3 years of professional experience developing computer-vision or AI-based products. Strong practical knowledge of image processing, object detection, segmentation, tracking, motion analysis, geometry, and camera systems. Good understanding of deep learning, neural-network training, model evaluation, and data management. Proven ability to combine machine-learning models with traditional computer-vision algorithms and system-level logic. Strong programming skills in Python and experience with OpenCV, NumPy, PyTorch, TensorFlow, or similar frameworks. Good knowledge of C++ and high-performance software development. Experience deploying and optimizing models using technologies such as ONNX, TensorRT, CUDA, OpenVINO, or similar tools. Experience developing real-time vision systems for edge devices or computationally constrained hardware. Strong debugging, problem-solving, and software-engineering skills. Ability to work independently and take ownership of complex technical solutions. Excellent English communication skills and confidence interacting directly with customers. Preferred Qualifications Experience with object tracking, temporal filtering, sensor fusion, or multi-camera systems. Experience with camera calibration, 3D geometry, depth estimation, or pose estimation. Experience with NVIDIA Jetson or other embedded GPU platforms. Experience in industrial, robotics, automotive, safety, or human-machine interaction applications. Experience working with challenging real-world conditions such as occlusion, poor lighting, motion blur, and changing environments. Experience with Docker, CI/CD, cloud platforms, MLOps, or model monitoring. The Profile We Are Looking For You are a strong problem-solver who enjoys turning advanced computer-vision technology into dependable products. You understand AI models and training, but your main strength is designing the complete system around the model. When the neural network alone is not enough, you know how to add tracking, filtering, image processing, geometric reasoning, calibration, and decision logic to make the final product work reliably. You are comfortable working across algorithms, software, hardware constraints, and customer requirements, and you take ownership of the overall result.
CellaVision AB – Lund, Sweden About us CellaVision is a global leader in digital cell morphology within hematology, and our analyzers are trusted in healthcare services around the world. We focus on innovation, working with the latest in programming, digital imaging, and machine learning to provide value to our customers. By joining us, you’ll be part of a creative, skilled team shaping the future of medical technology www.cellavision.com Lead the future of AI-driven diagnostics What if your next role was not only about building advanced AI systems, but also about improving healthcare diagnostics worldwide? At CellaVision, machine learning has been an important part of our technology for more than 30 years. We are now consolidating our expertise into a dedicated machine learning organization, further strengthening capabilities built over decades. We are now looking for a Director Machine Learning to lead this journey. Why this role matters CellaVision is a global leader in digital microscopy for hematology, helping laboratories deliver faster and more accurate diagnoses. Our solutions combine advanced imaging, robotics, and AI-powered analysis to improve patient outcomes worldwide. As Director Machine Learning, you will: Lead and develop a strategically important machine learning organization Work alongside some of the most experienced experts in machine learning and medical image analysis Help shape the future of AI-powered diagnostics in a company where machine learning is already proven, deployed, and used at scale Drive the development of advanced algorithms used in laboratories around the world This is a unique opportunity to combine technical leadership, organizational influence, and meaningful impact on healthcare. Your mission You will lead and develop CellaVision’s machine learning function, with responsibility for both technical excellence and organizational growth. Your responsibilities include: Building, leading, and developing a highly skilled machine learning organization, including a dedicated validation team Driving the design, development, and deployment of advanced machine learning models for medical image analysis Ensuring robustness, performance, and regulatory-grade quality of algorithms Establishing efficient processes, workflows, and ways of working Collaborating cross-functionally to translate clinical and business needs into technical solutions Engaging with universities and research partners to stay up to date with the latest developments in machine learning and AI Ensuring CellaVision remains at the forefront of developments in machine learning and AI As Director Machine Learning, you will play an important role in shaping CellaVision’s long-term machine learning capabilities. You will report to the VP Devices & Software and be part of the Devices & Software division’s management team. Who you are You are an experienced technical leader with deep expertise in machine learning. You enjoy going deep into complex problems while also enabling others to perform at their best. You likely bring: More than 10 years of experience in R&D, including several years in leadership roles Strong expertise in machine learning and AI, ideally within medical imaging Experience delivering machine learning solutions from research to production A track record of building and leading high-performing teams, including senior talent The ability to bridge technical and non-technical stakeholders A structured mindset, with experience working in quality- and regulation-driven environments Experience working in regulated or other quality-critical environments is considered an advantage A strong academic background in applied mathematics, computer science, or a related field A genuine interest in developments within machine learning research and modern AI methods Most importantly, you are motivated by solving meaningful and technically challenging problems together with highly skilled colleagues. Why CellaVision More than three decades of machine learning innovation Technology that contributes directly to faster diagnoses and improved patient care A global company with products used in laboratories in more than 40 countries An engineering-focused environment built on quality, collaboration, and long-term thinking The opportunity to shape and develop a new organizational unit with strong existing expertise and technology Practical details Location: Lund, Sweden Reporting to: VP Devices & Software Travel: Limited Join us At CellaVision, you will combine advanced machine learning, technical leadership, and real-world healthcare impact. If you are ready to help shape the next generation of healthcare diagnostics, we would love to hear from you. In this recruitment process, we are partnering with Radeptus. For any questions regarding the position, please contact Jenny Månsson at +46 703 318 506 or via email at jenny@adeptus.se. Please submit your application here
Artefact UK - H2 2026 Director Job Description WHO WE ARE Artefact is a new generation of data and AI consultancy, and one of the fastest growing. In the last six months alone we've grown from 2,000 to 2,500 people, now serving over 3,000 clients across 36 offices in 27 countries. Founded in 2014 and backed by Cinven, we're Europe's largest pureplay consultancy in data and AI, and we're not slowing down. We specialise in data consulting and AI-driven transformation, working with organisations across the globe to turn data into measurable business impact, creating real change in how businesses operate, compete, and grow. With 40% of our people in consulting roles, we have the critical mass to deliver full transformation at scale. We don't just offer strategies. We frame problems, design solutions, build the technology, and operate what we deliver. That distinction, between those who propose and those who implement, is central to how we work. We're technology-agnostic but technology-deep. We hold premium partnerships with the platforms shaping this industry, including Google, Anthropic, OpenAI, Databricks, and AWS, giving our consultants direct access to the newest capabilities before they reach the mainstream. Half of our projects involve collaboration across more than two offices, so the expertise you need is never far away, and our teams bring together AI specialists, data scientists, data engineers, and digital experts: the full range of talent required to reach the last mile of a transformation. Progression here is earned, not timed. We don't run on tenure. We run on impact, and strong performers move fast. If you want to build things that matter, at a pace that matches your ambition, this is where you do it. WHAT WE DO Our UK office is at an inflection point. We've built the foundations of a category-defining consultancy, and now we're scaling, fast. The shape of the team a year from now will look very different to today. Join now, and you're building the office before Artefact becomes a name every top consultant already knows. We work across a broad range of industries, including Retail Banking, Insurance, Private Equity, Energy & Utilities, Retail & E-commerce, CPG & FMCG, and Automotive, giving consultants the space to build real depth in one or two areas while staying genuinely exposed to others. It's one of the things people here value most. Our engagements run end to end, from strategy and governance through to delivery of high value data and AI solutions. The problems we work on are the ones organisations are genuinely wrestling with right now: Data Platform Strategy and Build, Generative AI Strategy, Agentic AI Strategy & Deployment, AI Governance and Assurance, Digital Transformation, and AI Adoption and Change. This work needs people who can operate at a strategic level in the morning and get into the technical weeds in the afternoon, and know when to do which. If that's the kind of work you want to be doing, we'd love to hear from you. We're looking for people who are genuinely energised by AI and data, and who want a hand in shaping how organisations and how people work change for the better. WHAT YOU WILL DO As a Director at Artefact UK, you will operate at the intersection of AI and data strategy, client leadership, and commercial growth. Reporting to the Partners and Managing Director, you own the AI and data agenda across a portfolio of clients, with Tech Leads and Managers reporting to you and running the day-to-day delivery of the engagements within it. This is a role for someone who is equally comfortable shaping a client's AI strategy at board level and building the playbook that lets Artefact deliver it again, better, for the next client. * Technology leadership: You will take a client's business opportunities and pain points and match them to the right ML, AI or data engineering solution. You possess the technical depth required to engage in discussions regarding solution architecture and implementation details with a client’s Principal Engineers and Data Scientists. * AI use case leadership: You will work with client management and Artefact teams to identify and prioritise the AI use cases that create genuine differential value, and lead their development end to end, from ideation through to deployment and continuous improvement. You will build and maintain a library of use cases and solution sets that can be reused and adapted across the wider client base. * Data and analytics capability building: You will assess clients' current data and analytics maturity, spot the opportunities for rapid enhancement, and turn what you learn into a playbook that can be repeated across new clients. * Senior client advisory and stakeholder relationships: You will work closely with client cross-functional teams, spanning technology and business, to ensure AI solutions integrate cleanly into how the organisation actually runs. You will build strong relationships with key stakeholders across your clients, and create a community of data leaders that shares knowledge and best practice across the portfolio, positioning Artefact as a genuine partner in that network rather than a supplier to it. * Commercial ownership and business development: You will lead pitches end-to-end, shaping the proposition, directing proposal development, and leading client-facing pitches and RFP responses, and you will contribute to pipeline management and opportunity prioritisation across the broader practice. * Thought leadership, innovation and talent development: You will stay ahead of developments in AI and data analytics, bring cutting-edge solutions and a network of trusted advisors to your clients, and contribute insights and recommendations that shape Artefact's own AI and data strategy. You will mentor and support the development of data and AI talent at Artefact, with particular attention to growing the Tech Leads and Managers who report to you. THE KIND OF PERSON THIS WORKS FOR The Director role is for people who have already proven they can lead AI and data engagements and manage senior talent, and who are ready to be accountable for a portfolio of clients, a library of reusable solutions, and the technology leads who deliver against both. It is a step-change in scope, not just seniority. What we're looking for: * Around 10+ years of experience leading AI and data projects, with a strong, specific track record of delivering measurable business value for clients, ideally including several years spent working with consulting and technical teams together. * Deep expertise across AI technologies, machine learning, data analytics, and data management, paired with a strong understanding of AI and ML, data infrastructure and architecture, including data warehousing, and cloud-based solutions, so you can move fluidly between the strategic and the technical. * A track record you can speak to specifically, including engagements you have delivered, accounts you have grown, and pitches you have led. * Credible at C-suite level; confident engaging and influencing senior executives and stakeholders across a client organisation, not because you perform confidence, but because you have done the work and know what you are talking about. * Genuinely invested in developing other people; you mentor and support the technical talent around you, and you take building Artefact's data and AI capability as seriously as you take any individual engagement. We do not require a single career path to this role. Some of our strongest Directors came from tier-one consulting firms, some from private equity or in-house transformation leadership, and some grew here. What they share is deep AI and data expertise, the ability to earn trust at every level, and the judgement to know when to operate strategically and when to get into the technical details themselves. WHY YOU SHOULD JOIN ARTEFACT * Exciting, cutting-edge projects at global scale: We deliver truly innovative work to blue chip clients across the globe, you will design and lead these initiatives. * Genuinely diverse work and people: On any given week you might work alongside a data scientist, a C-level executive, directors and more, across sectors you wouldn't encounter anywhere else. * Transparent progression: A clear pathway to Partner level, with half-year reviews, honest feedback, and active coaching. * Global without the travel grind: Multi-market projects and a 2,500-person global network, London-based, & hybrid working. * A genuine culture of learning: From tool-specific training to testing the latest AI models to running client workshops on what you've found, you have the liberty to pursue what interests you and share it with the team.
At Combitech in Stockholm, we are looking for a senior AI systems Architect who wants to shape how advanced AI solutions are designed, integrated, and brought into production. This is a role for someone who thrives in complex technical environments, enjoys taking architectural responsibility, and seeks real influence over both customer assignments and internal strategic initiatives. With Saab as our owner, we offer a unique combination of innovation, long-term stability, and the opportunity to contribute to secure, sustainable technology for society. We are looking for a senior technical leader who can make AI work in production by establishing the architecture, platforms, engineering practices, and delivery confidence needed for robust AI-enabled systems. You should be able to compare alternatives, reason through trade-offs, and make well-justified technical decisions across infrastructure, integration, security, scalability, maintainability, and ways of working. The Role Depending on the assignment, you will: Lead AI-enabled solutions from early architecture and requirements to integration, deployment, and long-term operation. Design technical foundations for production AI, including platform choices, CI/CD, MLOps/LLMOps, observability, governance, and security. Set direction for engineering practices, architecture decisions, documentation, and technical quality. Act as a trusted technical advisor to customers, translating complex needs into secure, scalable, and valuable solutions. Mentor colleagues and help elevate the technical maturity of our growing AI and software engineering community. Contribute to internal initiatives where your architecture experience can shape reusable capabilities, offerings, and ways of working. We Are Looking for Someone Who Has A relevant university degree or equivalent senior professional experience in software, systems architecture, AI, computer science, or a related technical field. 9+ years of software and systems architecture experience, with a proven ability to design and lead complex technical platforms. Ideally 5+ years of professional experience with AI or machine learning solutions, with a focus on deployment, integration, production readiness, and the practical realities of bringing AI into existing software environments. Strong judgement in systems design, trade-off analysis, platform selection, secure development, scalability, integration, maintainability, and long-term technical ownership. A genuine curiosity about where AI technology is heading, including areas such as agentic systems, MCP-based integrations, LLMOps, retrieval-augmented generation, AI governance, observability, and secure deployment patterns. The ability to apply hard-earned software and architecture experience to today's evolving AI landscape, combining proven engineering discipline with a modern understanding of how AI-enabled systems should and could be built, secured, and operated. Experience acting as technical lead, architect, or senior advisor in customer-facing or internal development initiatives. A collaborative leadership style with the ability to build networks, share knowledge, identify opportunities, and support others. As this position involves work subject to defence secrecy, you will be required to undergo and pass a security clearance, including a background check. Applications will be reviewed after the application deadline due to the summer holiday period. You can send us your application in either Swedish or English. We look forward to receiving your application! Make a difference together with us At Combitech, our employees are the key to building a smarter and more resilient society. We know that the full potential of today's technologies can only be realized when the right people are in the right place, putting them to use. We believe in the power of collective intelligence and experience - something that emerges when people with different skills and perspectives come together. That's why diversity and inclusion are priorities for us, as they are essential for increasing creativity, innovation, engagement, and wellbeing. Want to learn more about what it's like to work with us? Visit our careers pages! Contact person / Hiring manager: albin.boman (@) combitech.com We kindly decline offers of recruitment agency assistance.
The Project Controls Associate supports the Project Controls Planning function by learning and applying basic planning, scheduling, and performance monitoring tasks. This entry-level role focuses on developing structured technical documentation, formatting reports, and assisting with the setup of project control systems under supervision. Position will assist also in controlling functions like project progress measurement, commodity quantity quantity Key Responsibilities: • Project Documentation & Reporting • Assist in preparing and formatting technical reports, schedules, and dashboards using standardized templates. • Support the generation of project status updates, charts, and visualizations using Microsoft Office (Word, Excel, PowerPoint). • Ensure reports are structured, accurate, and professionally presented in line with project control standards. • Planning Support • Learn and apply basic principles of project controls using tools like PowerBi, MS Office • Support schedule updates, data entry, and extraction of relevant views and reports. • Organize and maintain planning registers and logs. • Performance Monitoring • Assist in collecting and organizing data for progress and performance reporting. • Track physical progress of construction quantities and compile site progress inputs. • Technical Systems & Tools • Develop skills in project control software. • Contribute to the continuous improvement of report formats and templates. Qualifications: Education: • Bachelor’s degree in Engineering, Construction Management, Business, or related field, or Technical diploma in Planning, Finance, or related field. Experience: 1– 3 years of relevant working experience Required Skills & Competencies: MS Office Software Proficiency: Proficient in Microsoft Word (report templates, formatting), Excel (charts, pivot tables), and PowerPoint (executive summaries, visual reporting). Basic knowledge of SharePoint or other document control systems. Expertise in PowerBi is a plus Exposure to Primavera P6 or similar scheduling tools is desirable. Personal traits: Ability to clearly and professionally present technical data in written and visual formats. Good attention to detail and structured work habits. Willingness to learn project planning principles, scheduling tools, and performance measurement techniques. Curious and engaged in building a career in Project Controls.
Do you want to turn image and sensor data into meaningful insights and real-world solutions? Here, you join a collaborative environment where innovation, learning, and data-driven thinking move us forward. Why Sandvik? We combine advanced technology with real industrial impact, giving you space to grow while contributing to something bigger. Work together with experienced experts and learn by doing Contribute to real-world AI use cases from day one Be part of a collaborative and inclusive team culture About the job You support the development of AI models and data-driven solutions with a focus on image and sensor data. Working closely with more experienced colleagues, you take part in experimentation, testing, and continuous improvement of models. Job responsibilities Support development of AI and machine learning models Work with image and sensor data to explore and build solutions Assist in testing, validating, and refining models Contribute to experiments and prototyping activities Collaborate with team members to improve performance and results Location and flexibility This position is based at our site in Svedala and offers a hybrid working model, allowing you to work remotely. Your profile You’re early in your career and bring a strong foundation in data science or a related field. Curiosity drives you, and you’re motivated to turn theory into practical solutions while growing your skills in applied AI. Your background includes: A degree in Data Science, Computer Science, Electrical Engineering, or similar Hands-on experience through projects, thesis work, or open-source contributions Interest in AI, machine learning, and algorithms for image or sensor data Strong problem-solving ability and analytical thinking Eagerness to learn and develop within a team environment Curiosity, initiative, and a willingness to learn guide your approach. You enjoy collaborating, asking questions, and tackling challenges step by step. A proactive mindset and openness to feedback help you grow and contribute to the team’s success. Our culture At Sandvik, we’re tech driven, innovative and entrepreneurial. We believe that success is a team effort so we value diversity and are committed to creating an inclusive culture where people can be themselves and reach their full potential. So, we invest in supporting each other, learning together and celebrating our differences. Visit our stories hub, LinkedIn or Facebook to get to know us further. Contact information For further information about this position, please contact Johan Östergren, hiring manager, johan.ostergren@sandvik.com. We’ve already decided on which advertising channels and marketing campaigns we wish to use and respectfully decline any additional contacts in that matter. Union contacts – Sweden Mårten Lindberg, Unionen, +46 (0)76 111 03 36 Jonny Hansson, Akademikerföreningen, +46 (0)76 126 45 81 Michael Wicktor-Ohlsson, Ledarna, +46 (0)70 251 44 57 Recruitment Specialist: Ulrika Gruffman How to apply Send your application no later than July 27, 2026. Click apply and include your resume and cover letter in English. Please note that we don’t accept applications by e-mail. Job ID: R0093937. At Sandvik, we value a healthy work-life balance and will be away on summer vacation. Therefore, it can be difficult to reach us, and the recruitment process might take longer than usual. We aim for an open and fair recruitment process and use different tools to ensure an objective assessment. Later in the process, you may be invited to complete a personality and logic test. To learn more about our recruitment process, please visit our career site or contact HR Services at hrservices.sweden@sandvik.com Business area Rock Processing is a global leading supplier of equipment, service, and technical solutions for crushing, screening, breaking and demolition in the mining and infrastructure industries. In 2025, sales were approximately SEK 10 billion with about 2,800 employees.
We have the power of over 50,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting challenges of today. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application! Do you want to work at the forefront of Europe's AI development and contribute to building the next generation of AI infrastructure? We are now looking for several AI Application Experts who want to contribute to the adoption and application of advanced AI methods across a wide range of domains, including technology and tools, data, life science, materials science, autonomous systems, training, and other emerging application areas. These positions offer a unique opportunity to work with researchers, companies, public-sector organizations, and AI specialists within the EuroHPC AI Factory initiative and to help users transform ideas and data into impactful AI solutions. The position As an AI Application Expert, you will support users and projects in applying AI methods, tools, and workflows to real-world challenges. Depending on your background and interests, you may contribute within one or several application domains. We welcome applicants with expertise in one or more of these domains. Candidates are not expected to cover all areas, and we encourage applications from specialists who can contribute strong expertise within their field. The role combines hands-on technical work, user support, collaboration with domain experts, and participation in the development of AI services and best practices within MIMER and the wider European AI ecosystem. Responsibilities AI Application Support and Expertise Support researchers, companies, and public-sector organizations in the adoption and use of AI technologies Contribute expertise within one or more domains such as life science, materials science, autonomous systems, data science, AI tools, or training Help identify suitable AI methods, workflows, and technologies for specific use cases Project and User Engagement Work directly with users to understand challenges and translate them into AI-enabled solutions Provide guidance on data preparation, model development, evaluation, and deployment Contribute to pilot projects, demonstrations, and proof-of-concept activities Knowledge Sharing and Community Building Develop documentation, tutorials, training material, and examples Participate in workshops, training events, and outreach activities Contribute to building a strong national and European AI community Collaboration and Innovation Collaborate with experts from academia, industry, and the public sector Help identify new opportunities for AI adoption and innovation Contribute to the continuous improvement of MIMER services and support offerings The person we need We are looking for someone who has: A Master's degree in AI, computer science, data science, engineering, life sciences, materials science, applied mathematics, or a related field Practical experience with AI, machine learning, data analytics, or related computational methods Ability to apply technical knowledge to real-world problems Experience working in research, industry, public-sector organizations, or innovation projects Interest in AI technologies and their practical application Ability to work in interdisciplinary and collaborative environments Strong communication skills and ability to engage with different stakeholder groups It is particularly meriting if you have: Experience with modern AI methods such as generative AI, foundation models, or machine learning applications Experience with HPC, cloud computing, data platforms, or scientific computing environments Experience within one or more relevant domains such as life science, materials science, autonomous systems, public-sector AI, or industrial AI Experience developing training materials, providing user support, or working in collaborative projects Experience with European research infrastructures, EuroHPC, or international collaborations Excellent Swedish language skills The workplace MIMER AI Factory is part of a European initiative to strengthen the development of trustworthy and competitive AI in research, industry, and the public sector. Through advanced supercomputing infrastructure, expert support, and international collaboration, we enable the development of AI solutions across research, industry, and public administration. The activities are carried out in close collaboration between Linköping University, NAISS, and RISE. The employment Fixed-term employment for 1 year, full-time, 100%. Starting date as soon as possible or by agreement. The employment entails 10 positions as Applikationsexpert. This position may come to be a security classified position. If so, security screening including a records check will be carried out before any decision on employment is made. Salary and employment benefits Linköping University is a Swedish public employer and offers individual salary setting, as well as opportunities to combine parenthood and an active lifestyle with employment. NAISS offers a possibility of remote work up to 40% of the working time. More information about employee benefits is available https://liu.se/en/work-at-liu/employee-benefits. Union representatives Information about union representatives, see https://liu.se/en/work-at-liu/hjalp%20for%20sokande. Application procedure Apply for the position by clicking the "Apply" button below. Your application must reach Linköping University no later than August 10th, 2026. Applications and documents received after the date above will not be considered. We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches our work and helps us grow. Preserving everybody's equal value, rights and opportunities is a natural part of who we are. Read more about our work with: https://liu.se/en/article/lika-villkor/. We look forward to receiving your application! Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.
Are you an Infrastructure Specialist with hands-on engineering skills and an ability to combine business acumen with technical skills to deliver optimized infrastructure and Cloud solutions? Do you want to be part of an international outdoor company, with a strong focus on building a world-class customer journey and digital experience? Then this could be your next career step. ABOUT THE ROLE In today’s digital world, technology plays a central role across every aspect of business. As our consumers and customers engage with brands and products in increasingly digital ways, we continue to strengthen and evolve our infrastructure capabilities to support future growth. We are now looking for an Infrastructure Specialist with a strong focus on Cloud Platforms to join our Infrastructure & Operations team. In this role, you will help shape and develop our global infrastructure landscape, with a focus on cloud architecture, governance, security, performance, and optimization. You will work closely with both technical and business stakeholders across the organization and play an important role in driving scalable, secure, and efficient infrastructure solutions. The position can be based in Örnsköldsvik or Stockholm and reports to the Head of Infrastructure & Operations. The role includes required travel. WHAT YOU WILL DO In more detail you will focus on the following: * Shape and drive the roadmap for our infrastructure and cloud platforms * Design, implement, and maintain scalable and secure infrastructure solutions in Azure and hybrid environments * Manage and optimize cloud infrastructure, including governance, performance, availability, and cost control * Own and develop central infrastructure services such as networking, servers, firewalls, and monitoring solutions * Drive infrastructure-related projects, platform improvements, troubleshooting, and technical upgrades * Collaborate with tech and business teams to implement efficient and future-proof infrastructure solutions * Coordinate operations and vendor collaboration with external partners and service providers * Define and maintain infrastructure standards, documentation, and best practices across the organization. WHO YOU ARE We think you could be a great match for the position if you possess the following traits and capabilities: * You have at least 5 years of experience in IT and 3 years of experience working with hybrid infrastructure and cloud platform solutions. * You have strong hands-on experience with Microsoft Azure and enterprise-scale cloud environments * You understand cloud architecture, governance, networking, and security principles * You are comfortable working with infrastructure monitoring, troubleshooting, and performance optimization * You combine technical expertise with business understanding to drive effective solutions * You are analytical, structured, and solution-oriented, with strong problem-solving skills * You enjoy collaborating across teams and communicating with both technical and non-technical stakeholders * You are curious, proactive, and motivated by continuous learning and new technologies HOW TO APPLY Submit your application in English through our application portal. Applications are reviewed on an ongoing basis, and the position may be filled before the final application date. This position is based either in our office in Örnsköldsvik or Solna. Our office policy allows for one work-from-home day per week; on the remaining days we work from the office. We look forward to reading your application!
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