Search results for "machine tooling"

Bakgrund: Vår etablerade industrikund behöver två CNC-operatörer då företaget är i en expansionsfas och behöver bemanna CNC maskinerna. Arbetsbeskrivning: Vi söker duktiga operatörer till företagets fräsavdelning där fräsning sker för tillverkning av olika stålprodukter. Det är inte fråga om en löpandeband tillverkning utan allt sker på beställning. Du kommer självständigt ansvara för riggning och maskinbearbetning, samt utföra kontroller av produkterna. I dina uppgifter ingår även att utföra underhåll och enklare felsökningar. Beroende på din bakgrund och intresse så kommer även programmering, tidsberäkning inför offerter, förbättringsprojekt samt vissa inköp att ingå i tjänsten. Vi söker dig som har dokumenterad god erfarenhet av skärande bearbetning. Du har god kännedom om skärande verktyg, ritningsläsning, manuella mätmetoder och allmänt verkstadsarbete. Kompetenser: Vi tror att du har gymnasieutbildning från industri, bygg, fordons -gymnasium med några års erfarenhet från operatörsjobb inom tung industri. Programmeringskunskaper är ett plus. Övrigt: Språk: Svenska och engelska B- körkort Tech Recruitment är ett rekryteringsföretag med över fjorton års erfarenhet av att rekrytera teknisk kompetens till industrin i Mälardalen. Vi finns i ett framgångsrikt industricentrum i Sverige där det lokala näringslivet samarbetar med både kommunen och skolorna på ett framgångsrikt sätt. Vi är en del av detta samarbete och strävar efter att bli bäst på rekrytering av teknisk kompetens i hela regionen. Integration är en viktig fråga för oss nu och i framtiden. Förståelse för andra kulturer och förhållningssätt är en framgångsfaktor i vår region. Välkommen med din ansökan

10% of Europe's CO₂ emissions are caused by residential heating, and energy bills are out of control. Aira is here to change that. With our intelligent Aira Heat Pump at the heart, we're making the switch to clean energy-tech easier and more affordable. Helping Europe turn off gas and slashing energy costs one home at a time. Founded in 2022, and with 1000+ employees and counting, Aira is driving the clean energy revolution by providing homes with modern clean energy-tech solutions such as solar power, battery storage solutions and heat pumps. With a state-of-the-art production facility in Poland, an HQ in Stockholm, Sweden, and hubs across the UK, Germany, and Italy, Aira is well on track to install clean energy-tech into 5 million homes by 2034. About the role In the Energy Optimization team, we build optimization and ML models that actively control when the heat pump runs, when the battery charges or discharges, and when to export energy to the grid. We are now building new flexibility capabilities by coordinating fleets of homes to support the grid when it matters most. We’re now looking for a Data Scientist to join the team. You’ll lead projects end-to-end: shape the problem, build forecasting and optimization models, run experiments, and work closely with Product, Engineering and Design to ship customer-facing AI solutions. We value clear communication, thoughtful collaboration, and a constructive approach to problem solving. If you enjoy making measurable progress, turning messy real-world signals into decisions people can trust, and moving projects forward even when the path is not fully defined, we would love to hear from you. What you will be doing Translate real-world control problems into optimization models that minimizes customers’ energy bills. Develop and improve forecasting and decision-support models enabling optimal control schedules for customers’ home energy devices. Design and run experiments on real customer systems, evaluate impact, and turn insights into product decisions. Work closely with the team to bring models into production. Work across the full data stack, including data pipelines, feature engineering, deployment and monitoring. Lead initiatives from discovery to production impact. You set direction, align with stakeholders across product and engineering to deliver outcomes even when the path is not fully defined. Communicate clearly to technical and non-technical audiences, explaining trade-offs, uncertainty, and what is good enough to ship. What you bring to the team Several years of experience as a Data Scientist, Optimization Engineer, Applied Scientist, Machine Learning Engineer or similar. Strong mathematical and statistical modelling skills. Experience with time-series forecasting and machine learning, ideally applied to operational systems. Experience working in Python and with modern ML/optimization tooling and workflows. Solid Software Engineering fundamentals for deploying and maintaining ML systems in production. A pragmatic, product-oriented mindset: you optimize for real-world impact, not model complexity. Experience with cloud platforms (AWS, GCP, or Azure). Nice to have Experience with constrained optimization and applying it to real-world systems. Experience with energy systems or electricity market knowledge, especially flexibility and demand response. Experience with control system 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. At Aira, We’re not just champions of next-generation energy, we’re champions in Diversity and Inclusion too. We believe that a diverse workforce sparks innovation and creativity and enables us to better serve our customers and communities. We encourage individuals from all backgrounds, cultures, and perspectives to join our team. We will never accept any form of discrimination and believe that together, we can drive a new era for our people and planet.

Junior Data Scientist – Werlabs Om Werlabs Werlabs är ett medtech-bolag med en tydlig mission: Lev bättre, längre. Vi hjälper våra användare att identifiera och motverka risker för sin långsiktiga hälsa – långt innan de blir sjuka. Vårt huvudsakliga fokus är att minska risken för kroniska sjukdomar, framför allt kardiometabola sjukdomar, genom preventiv hälso- och sjukvård snarare än att vänta och behandla sjukdomar först när de väl har inträffat. Om rollen Som Junior Data Scientist blir du en del av vårt tech-team i Stockholm. Du arbetar nära kliniska och tekniska kollegor med att omvandla komplex hälsodata till verkligt värde för våra användare. Exempel på arbetsuppgifter: Bygga och förbättra datapipelines för biomarkör- och bilddata (t.ex. HL7-flöden för DEXA-resultat) Utveckla modeller och verktyg som översätter tekniska medicinska underlag till patientvänlig information Analysera kliniska datamängder för att stödja produktutveckling och kvalitetssäkring Samarbeta med läkare, produkt och ingenjörer för att säkerställa att lösningar är både tekniskt robusta och kliniskt relevanta Vi söker dig som har Examen inom data science, maskininlärning, statistik, teknik eller motsvarande Goda kunskaper i Python och SQL Förmåga att arbeta strukturerat med stora och komplexa datamängder God kommunikationsförmåga på engelska Starkt meriterande Medicinsk eller klinisk bakgrund (t.ex. läkar-, sjuksköterske- eller biomedicinsk utbildning). En stor del av vårt arbete sker på kliniska data, och domänkunskap inom medicin är en tydlig tillgång i rollen. Erfarenhet av att arbeta med hälsodata, journalsystem eller standarder som HL7/FHIR Hands-on-erfarenhet av frontier-modeller inom generativ AI samt av att bygga agentiska arbetsflöden Kunskaper i svenska Erfarenhet av modern ML-tooling och molntjänster Vi erbjuder En nyckelroll i ett bolag som växer snabbt inom preventiv hälsa Möjlighet att arbeta i skärningspunkten mellan medicin, data och teknik Centralt belägna kontor i Stockholm Omfattning och placering Heltid, tillsvidareanställning. Placering i Stockholm. Ansökan Skicka din ansökan med CV via epost till rekrytering@werlabs.com. Urval sker löpande och tjänsten kan komma att tillsättas innan ansökningstiden gått ut.

Forecasting sits at the heart of how PostNord runs - every volume we plan for, every route we optimize, every shift we staff starts with a forecast. We're now strengthening our Forecasting team and looking for a Senior Data Scientist to be a central pillar in building something stronger. This is a senior individual-contributor role. The team already has a Tech Lead and a Product Owner, so you won't be carrying out the roadmap or line management. Instead, your seniority shows up in the quality of your models, the judgement behind your decisions, and your ability to lift the people around you. Join us The Technology Acceleration area within Group IT is responsible for establishing the future IT landscape - the foundation for PostNord's continued AI- and data-driven journey. In the Forecasting team you'll combine deep machine learning craft with real business understanding to deliver forecasts that operations actually trust and act on, across the logistics domain. You won't just build models. You'll help decide where forecasting creates the most value, what's worth improving, and what's better rebuilt from scratch. Job duties Develop, improve, and maintain forecasting models for core logistics use cases - volumes, routes, staffing, and beyond. Evaluate what we already run and make pragmatic calls: optimize, replace, or redesign from the ground up. Get close to the operation - translate messy operational reality and business challenges into robust, scalable forecasting solutions. Ensure that the forecast holds up in production: data quality, feature engineering, and reconciling planning horizons and cadences. Collaborate with data engineers, domain teams, and the wider analytics community on our Databricks platform. Raise the bar around you - share knowledge, mentor colleagues, and help establish forecasting and model-lifecycle best practices. Communicate insight, trade-offs, and uncertainty clearly to both technical and non-technical stakeholders. Extensive experience as a Data Scientist with a strong focus on machine learning and forecasting, and a track record of models running in production. Strong grounding in time-series modelling, statistical methods, and modern ML approaches. Strong programming skills in Python and SQL. Experience with modern data platforms - Databricks is highly relevant. A genuine ability to connect technical solutions to business impact, and the maturity to work hands-on while helping shape technical direction alongside the Tech Lead and Product Owner. Strong collaboration and communication skills. Meritorious experience Experience in logistics, supply chain, or other operational forecasting domains - though we equally value strong forecasting craft brought in from any data-heavy domain. Probabilistic forecasting, hierarchical forecasting, or optimization. MLOps practices and model lifecycle management. Scaling models in cloud environments, preferably Azure. Experimentation frameworks and model evaluation techniques. Mentoring or informally leading other data scientists. Comfort working in an engineering organization that leans heavily on AI tooling to move faster. Language requirement Fluent English in speech and writing. Proficiency in at least one Scandinavian language is meritorious. Why this role matters Better forecasts mean better decisions - fewer surprises in the network, smarter staffing, and capacity planned where it's needed. As a senior member of the team, you'll be a key reason our forecasting capability gets stronger, faster, and more trusted across the business. Your profile You're a senior, mature data scientist who pairs technical excellence with a strong business mindset. You're pragmatic - able to improve what exists and know when to start over. You're comfortable engaging directly with stakeholders, and you instinctively lift the people around you without needing a title to do it. Most of all, you want to help build something stronger: a high-performing forecasting team that delivers real operational impact at scale. We offer A cutting-edge analytics environment built on Databricks and Azure A central role in accelerating PostNord's AI- and data-driven journey The freedom to shape how forecasting is done at scale in a leading logistics company Apply Welcome with your application! We encourage you to apply as soon as possible, as we review applications on an ongoing basis. Please note that due to the summer holiday period, the earliest feedback will be provided in mid-August. 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.

At Umain, we're not just creating software; we're crafting the future, one innovative project at a time. With our motto "Shape, Ship, Scale," we empower our team to not only envision the future but also play a pivotal role in building it. We're a dynamic team where you can shape the future, ship groundbreaking solutions, and scale your abilities in many different ways. We're on the lookout for developers ready to join us in this journey, bringing passion, creativity, and dedication along with them. The role is ideal for engineers with demonstrable skills in AI as well as for software engineers who have recently transitioned to AI and ML expertise, and offers an opportunity to develop your craft whilst working closely with clients on delivering AI solutions to real-world challenges. We are seeking an AI Engineer with experience in building robust, scaleable, AI powered solutions. The ideal candidate combines a product engineering mindset with a deep enthusiasm for advancing AI capabilities. They demonstrate a great understanding of core AI concepts, product development workflows, and embodies team spirit. As an AI Engineer at Umain, your role will involve: Assisting our clients in clarifying their questions and determining if using AI is a suitable solution for them You understand the limitations of a model and how to address them within the product's UX Experience architecting agentic solutions (context, memory, and tool/skill handling) and implementing them using frameworks such as Mastra, Microsoft Agent Framework, LangChain/LangGraph. Applying stochastic test casing and trace-based reasoning to evaluate, test, and improve agent behaviour, supported by observability tooling (Langfuse, Promptfoo, etc.). Understanding and applying core AI concepts such as redlining, document chunking for accuracy, efficient use of embeddings, and debugging AI systems Validating, deploying, monitoring, and maintaining built models, ensuring they can be used at scale Developing and maintaining end-to-end data pipelines and machine learning workflows, optimizing for performance and reliability Working with diverse, cross-functional teams on projects that deliver groundbreaking AI solutions for global brands We also welcome experienced software engineers looking to transition into AI: Strong product development background with several years of software engineering experience Active engagement in AI (agents, wrappers, context engineering) Knows how to work efficiently in a product/engineering team Who You Are: We value candidates who demonstrate: Great delivery skills: Proven capability to deliver AI solutions Strong AI intuition: A deep understanding of AI concepts Curiosity: Enthusiasm for emerging technologies, creativity in problem-solving, and an eagerness to learn in a rapidly evolving AI landscape Full-stack product thinking: Frontend or backend experience outside the traditional AI field, with the ability to build end-to-end You're a developer with a passion for innovation and a knack for problem-solving. You're eager to learn, grow, and take on new challenges. You value collaboration, diversity, and the opportunity to make a significant impact. You believe in the power of technology to shape the future. What We Offer: A chance to work closely with global brands on a range of diverse and unique projects that explore and truly push the boundaries of what's possible. A fun and fair work environment where you have the opportunity to expand your skills through unique challenges and fantastic colleagues. A personal coach, and a setting where you can grow professionally and personally. Being part of multidisciplinary teams, participating in agile teams, being an important player in a highly ambitious setting. Why Umain? Career Framework: We believe in fairness and clarity, which is why we've established a transparent career framework to ensure equal pay and equal opportunities for all. Your growth and success are as important to us as they are to you. Together with your coach, you will build your own development plan and grow in your career. Work-Life Balance: At Umain, diversity is our strength. We understand that life doesn't pause when you walk into the office. That's why we've cultivated an environment that supports an excellent work-life balance. We welcome team members from all walks of life, recognizing the richness that different backgrounds, ages, and life stages bring to our team. We're committed to supporting each other, encouraging a healthy work-life balance that respects your needs, whether it's taking care of your family, your pets, or yourself. Innovations and Learning: Technology is always evolving, bringing new challenges and opportunities for collaboration and learning. Our developers work closely with designers, analysts, testers and more to tackle these challenges head-on, sharing knowledge and growing together. Skills Over Degrees: We're more interested in what you can do than in the diplomas you hold. Talent, drive, and creativity are what count at Umain. Here, you'll find opportunities to grow, learn, and excel in your career, regardless of your educational background. If you have the ambition and commitment to succeed, we have the environment and resources to support your journey. Background Check: Umain conducts a background check for final candidates in accordance with our internal policies. The check is carried out only with your consent and is ordered by our CISO through our approved screening partner. The scope of the check depends on the role level. This step is performed late in the recruitment process and is used solely to support a secure and fact-based hiring decision.

Join our global force of 500+ innovators, blending the latest in tech with the greatest in soundtracking, from our Stockholm HQ to offices in London, New York, Los Angeles, Berlin, Oslo, and Seoul. We’re an industry leader with a startup mentality. We take what we do seriously, but we don’t take ourselves too seriously. Creating and collaborating to transform the sound of streaming, content, and culture. Come join us— and let the world feel your work. In the Soundtrack product area, we are on a mission to reimagine soundtracking and enable our users to effortlessly create soundscapes that fit perfectly to their content, all seamlessly integrated into their workflows. We are now looking for a Staff Backend Engineer to drive the innovation, scale, and technical direction of the systems that empower millions of creators to elevate their content. About the Role As a Staff Backend Engineer, you will be a strategic technical leader across multiple teams within the Soundtrack area. You’ll play a key role in bringing our mission to life through architectural oversight, hands-on coding, and close collaboration with senior leaders across tech, product, and design. In Soundtrack we are constantly breaking new ground to build the best tools for soundtracking for creators. We serve our AI powered features across a broad range of clients, and our backend capability platform needs to support this advanced product ecosystem in a flexible yet structured way. We solve exciting and complex problems in the intersection of sound, video, software engineering and machine learning, utilizing both agentic workflows and generative AI. You’ll work on a broad range of initiatives, from defining core architectural foundations to driving technical choices that affect our entire backend ecosystem. You’ll lead by example, mentor other engineers, drive platform decisions, and ensure our microservices architecture is robust, scalable, and built for the long term. Responsibilities Set technical direction: Define the backend strategy across the product area, ensuring a scalable and maintainable architecture that aligns with our ambitious product goals. Architect complex systems: Act as a primary partner to engineering and product leads, translating complex business requirements into elegant, performant backend solutions that align with machine learning and frontend requirements. Lead high-impact discovery: Drive early-stage technical discovery for important initiatives, making strategic trade-offs and mapping out execution paths for multiple teams. Raise the engineering bar: Promote backend excellence by championing best practices in API design, system resilience, security, and observability across the organization. Mentor & coach: Inspire and grow technical capabilities across the tech organization, fostering a culture of feedback, mob programming, and continuous learning. Platform strategy: Align backend frameworks, tooling, and conventions across teams to enable fast, safe, and consistent development. What we’re looking for Deep backend skills: You have extensive experience with modern backend technologies, preferably Go (or languages like Kotlin/Python) and a deep understanding of distributed systems and microservices. Architectural vision: A proven track record of leading complex technical projects from initial strategy through to execution at scale. Infrastructure fluency: Deep experience building scalable and reliable software systems. Holistic leadership: You balance hands-on coding with big-picture systems thinking, capable of moving between deep-dives into code and high-level architectural planning. Collaborative mindset: Excellent communication skills with the ability to align diverse stakeholders and thrive in a cross-functional, agile environment. Product mindset: A passion for building high-quality, user-centered software and an understanding of how technical choices impact the end-user experience. It would also be music to our ears if you have experience: building tools for creators or working within a media-heavy environment. working closely with Data Scientists and Machine Learning engineers. with cloud Infrastructure (GCP & K8s). with search systems and Elasticsearch. Equal opportunity employer We believe that bringing people together from different backgrounds, experiences and perspectives makes for a healthy workplace, a more successful business and a better world. We value diversity and encourage everyone to come and soundtrack the world with us. Application Ready to make the world feel your work? Apply now by clicking the link below! We embrace a hybrid model but love collaborating in person, so we spend the majority of our time in the office.

Do you want to be part of one of Sweden's fastest-growing start-ups? Antrino Labs is a vision infrastructure company. We build AI architectures that let cameras understand actions, behavior, and context across time — moving video beyond surveillance into real-time, programmable sensing. Instead of cameras just recording video in the background, they can now perform tasks in real-time: detecting theft, identifying security risks, analyzing flows in stores and industries, and enabling organizations to act immediately when something happens. Video goes from being something reviewed in retrospect to becoming active, real-time decision support. This means that millions of existing cameras, which previously only functioned as passive sensors, can suddenly start working actively for businesses – from retail and logistics to security companies and public environments. Everything is built on a foundation of Privacy by Design, where data protection and GDPR compliance are central parts of the architecture. The goal is to make advanced video analysis both powerful, scalable, and responsible in how data is handled. We just closed our Seed Investment Round which was announced together with Dagens Industri and are scaling up to meet demand. Also, the company is certified through Institution för Strategiska Produkter which makes the company a strategic asset for the Kingdom. Purpose and Goal We are looking for exceptional Fullstack Engineers who want to be part of our journey in automating detection. In this role, you will work across both frontend and backend systems, building the core product experience that allows users to connect cameras, deploy intelligence, and interact with real-time insights from video streams. The role is broad and hands-on, where you will work closely with our engineering team and leadership to develop a scalable, high-performance platform that can support thousands of live video streams and global deployments. You will help shape both the user-facing interfaces and the underlying backend systems, ensuring the platform remains intuitive, fast, and reliable as we expand. Your main areas of responsibility will include: Designing, developing, and maintaining both frontend and backend components of our platform Building user-facing features and interfaces that allow customers to interact with video streams, analytics, and system insights Developing and maintaining scalable backend services and APIs that power the platform Collaborating closely with designers and engineers to create intuitive, high-performance product experiences Ensuring the platform remains fast, reliable, and responsive as the number of users, cameras, and data streams grows Writing clean, maintainable, and well-structured code while following modern development best practices Participating in system architecture discussions and helping design scalable solutions for complex problems Troubleshooting and resolving bugs, performance issues, and production incidents across the stack Collaborating with DevOps and AI engineers to integrate machine learning systems and real-time data pipelines into the product Continuously improving the developer experience, tooling, and internal workflows to accelerate development and product delivery Contributing to code reviews, technical discussions, and knowledge sharing within the engineering team Helping shape the technical direction of the platform as we scale globally and expand the product capabilities Who are we looking for? Strong experience as a Full Stack Engineer, preferably working on complex, production-grade applications Solid experience building modern web applications, including both frontend and backend systems Proficiency with JavaScript/TypeScript and modern frameworks such as React, Next.js, or similar Experience designing and building scalable backend services and APIs Familiarity with databases and data modeling (e.g., PostgreSQL or similar) Experience working with cloud platforms such as AWS, Azure is a plus Understanding of system performance, scalability, and distributed architectures Experience integrating real-time data systems, streaming architectures, or AI-powered services is a strong advantage Strong problem-solving skills and the ability to build reliable, maintainable systems Excellent communication skills in English, both written and spoken; Swedish is a plus Personal qualities We believe you are a team player with a strong work ethic, who thrives in a fast-paced environment where you build something from the ground up together. You have a positive attitude towards problem-solving and always deliver high quality in your accounting work, while being curious about how processes can be improved and streamlined. You enjoy solving problems and see opportunities where others see obstacles. In a rapidly growing company, things often change – therefore, you thrive in an environment where initiative, responsibility, and structure are important qualities. You have the ability to work independently, prioritize correctly, and manage several tasks or projects in parallel. With us, you will be part of a culture where we value intellectual curiosity, high pace, and collaboration between technology and business. We build advanced technology but believe in simple, clear ways of working and a team where everyone contributes to the whole. This means we are looking for people who not only want to do their job – but who also want to help build structures, improve processes, and participate in shaping how the company develops going forward. Form of employment: Full-time with an initial probationary period of 6 months Start date: Immediately Location: Stockholm City, Blaiseholmgatan 2A Recruitment Process Our recruitment process is simple and transparent. We review applications continuously and contact candidates we assess to be a good match for the role. The process usually consists of a first conversation where we get to know each other and go through your background and the role in more detail. This is followed by one or two in-depth conversations where we discuss experience, working methods, and how you could contribute to developing our finance function. In the final stage, we may also ask for references. Our goal is for the process to be efficient, clear, and respectful of your time, while ensuring that both you and we feel it is the right match. We look forward to your application!

​ Location: MalmöDepartment: AI Models & Alarm IntelligenceHiring Manager: Christian Falck The roleAs a Technical Product Manager within AI Models & Alarm Intelligence, you will drive clarity, alignment, and execution across a complex set of AI initiatives with multiple dependencies and stakeholders. This is a newly created position within the team and an exciting opportunity to shape how product management and delivery coordination are done within one of Verisure's fastest growing technology domains. You will work closely with Machine Learning Engineers, technical experts, stakeholders across Europe, and external partners, helping create transparency, alignment, and momentum across multiple initiatives. The role combines product ownership, project coordination, stakeholder management, and technical understanding (you need to understand enough to facilitate discussions, manage expectations, identify risks, and help the team deliver successfully). You will join a collaborative and highly skilled AI team working with technologies such as Computer Vision, Edge AI, Cloud AI, and next-generation detection solutions that impact millions of customers. What you will be up to Maintain a clear overview of team priorities, deliveries, risks, dependencies, and stakeholder expectations Continuously align with engineers to understand real progress, identify blockers, and ensure dependencies are actively managed. Coordinate feedback from countries using our AI-powered products and translate insights into priorities and improvements Escalate risks, dependencies, and delivery challenges proactively Introduce structure and ways of working in an evolving environment where processes and ownership are not yet fully defined. Build strong relationships across the wider R&D organization and help drive collaboration across multiple teams Good fit if you haveExperience as a Technical Product Manager, Product Manager, Product Owner, Project Manager, or similar role Strong organizational and planning skills Excellent stakeholder management and communication abilities Experience working closely with software engineering or technical teams Ability to create structure and clarity in fast-moving environments Experience balancing multiple priorities and dependencies simultaneously Nice to have / technologies and areas we work with AI, Machine Learning, Computer Vision, or Data Products IoT products and platforms Jira and modern product development tooling AWS, Azure, or cloud-based AI environments Experience working with external vendors and technology partners Product development within hardware and software environments Should I apply? Strong fit if most of these resonate with you: You enjoy creating structure and visibility in complex environments You naturally bring people together around common goals You are proactive and prefer solving problems before they become blockers You are good at coordinating multiple initiatives simultaneously You are curious about AI and emerging technologies You thrive in collaborative and international environments FAQIs this a Product Owner role?Partly, but broader. The role combines product ownership, project coordination, stakeholder management, planning, communication, and delivery follow-up across multiple initiatives. Do I need an AI or Machine Learning background?No. AI experience is beneficial but not required. What matters most is your ability to work with technical teams, understand complex products, and create structure around delivery. Will I manage people?No. This is an individual contributor role with significant influence across projects, teams, and stakeholders. What is the biggest challenge in this role?Managing dependencies across multiple teams and stakeholders while maintaining transparency, alignment, and realistic expectations. Bottom line If you enjoy bringing clarity to complexity, working alongside talented AI engineers, and helping innovative AI-powered products move from idea to reality, this is an opportunity to make a significant impact in one of Verisure's most exciting and rapidly growing technology domains. About VerisureVerisure is the leading provider of professionally monitored security services in Europe and Latin America. As of 31 December 2025, Verisure provides premium monitored alarm services to a portfolio of ~6.2 million families and small businesses across 18 countries, with a team of more than 30,000 colleagues. For the year ended 31 December 2025, Verisure delivered a strong financial performance: Total Revenue of €3,745 million, Adjusted EBITDA of €1,708 million (46% margin) and Adjusted EBIT of €953 million (25% margin). This performance builds on the Company’s track record of resilient, uninterrupted growth over the long term and highlights the strength of its recurring revenue model. Verisure is majority owned by Hellman & Friedman LLC, a leading private equity investment firm. Beginning October 8th, 2025, Verisure is listed in the Nasdaq Stockholm Stock Exchange. With €3.1 billion raised in primary proceeds, this was the largest IPO in Europe since 2022 and the largest in Sweden in over 25 years. My team and I eagerly await your application! Join us on this journey towards a safer, smarter world. Apply today! If you have questions regarding this position, please reach out to our Group Senior TA Specialist, Robert Jonasson, at robert.jonasson@verisure.com Verisure is an equal-opportunity employer and welcomes applicants from diverse backgrounds. We are an international company with offices and colleagues in multiple countries. Verisure - 35 years of delivering peace of mind.

ABOUT US Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. * We lean in: ownership over titles, outcomes over intentions. * We fight for excellence: high standards, direct, ego-free feedback. * We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. The role As a Data Scientist at Legora you will turn data into decisions. You'll sit close to the business, taking questions end-to-end: shaping the metric, modelling the data in dbt, running the analysis, and making the recommendation. You'll pull in new data sources when you need to, but the underlying instrumentation and platform belong to our data engineering team. Insights are useful; impact is what we hire for. We're an AI-first data team. We believe the data function should be redesigned around what AI now makes possible, not retrofitted with it, and we want someone excited to help define what that looks like in practice. There's no single profile we hire for. Some of us are strongest at data modelling and analytics engineering, some at experimentation and causal inference, some at machine learning, some at stakeholder influence. You'll likely be excellent at one or two of these and competent across the rest. That's the bar. We're a small, centralised team supporting the whole company, hiring for the person, not the seat. Depending on your strengths and where we have the biggest gap when you join, you could be embedded primarily with: * Product: instrumentation, feature adoption, user behaviour, A/B testing, shaping the roadmap with PMs and designers. * Finance & RevOps: ARR, NRR, forecasting, board reporting, pricing analytics across a 40-country footprint, and unit economics for an AI-native product. * Growth & Marketing: acquisition funnels, attribution, campaign measurement, lifecycle analytics, and what actually moves enterprise legal buyers. * GTM & Customer Success: pipeline analytics, customer health, expansion signals, and retention drivers in a category that didn't exist three years ago. You'll partner directly with leaders across Product, Engineering, Finance, and GTM, most of whom are unusually data-fluent and will happily open a SQL editor with you. Your work will directly influence how we prioritise, how we sell, how we price, and how we build. What you will be doing * Partner with stakeholders across Product, Finance, GTM, Growth, and beyond to translate ambiguous questions into structured analyses and clear recommendations. * Define the metrics that matter, design the experiments or analyses that test them, and measure the impact of what we ship. * Conduct deep-dive analyses on the questions that move the business, and proactively surface the questions nobody is asking yet. * Model the data you need for your work in dbt, pulling in new sources when necessary, and partner closely with data engineering on anything that needs to scale beyond your immediate use case. * Build dashboards and reporting that scale beyond you, so the company can answer its own questions where possible. * Help shape how the data team operates as we scale: standards, tooling, ways of working. What you'll need * Strong proficiency in SQL and Python. * Solid grasp of data modelling and what it takes to build analytical work that is reliable and trusted. * Excellent communication skills and the confidence to influence decisions through data storytelling, including pushing back when the data doesn't support what someone wants to do. * Genuine depth in at least one of the following, with competence across the rest and curiosity to grow: * Data modelling and analytics engineering (dbt, dimensional modelling, semantic layers, self-service) * Experimentation and causal inference (A/B test design, quasi-experiments, statistical rigour) * Machine learning and applied data science (forecasting, prediction, segmentation, evaluation) * Product analytics and metric design (funnels, cohorts, adoption frameworks, North Star metrics) Nice to have * Experience in a product-led or SaaS environment, ideally B2B. * Hands-on experience with our stack: Snowflake, dbt, Hex, Dagster. * Prior experience as an early data hire at a fast-growing company, i.e. you've built the muscle, not inherited it. Most importantly, you are someone who * "Gets stuff done" and understands building a $10bn company isn't always glamorous and takes hard work and long hours. * Thrives in a fast-paced environment where the answers aren't always clear and processes are few. * Is genuinely domain-curious. You don't need to have worked on every part of a business, but you should be excited to.   Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.

YOUR MISSION AT VOI As an Engineering Manager at Voi, you will lead and support two small cross‑functional product teams – Fleet Care and Fleet Management – together responsible for the software that powers our fleet operations. This includes apps used both on the streets and in our warehouses, powered by complex optimisation algorithms and machine learning. You will report directly to the CTO and work closely with Product and other R&D leaders to ensure high‑quality delivery while fostering a positive, empowering and collaborative team culture. This is an excellent opportunity to combine technical depth with people leadership and have a tangible impact on the micromobility industry. Lead and support the Fleet Care and Fleet Management engineering teams, developing our apps and tools that keep our fleet of vehicles running smoothly. Partner with Product to define roadmaps, set goals and drive high‑quality delivery, balancing short‑term operational needs, continuous learning and iteration, and long‑term technical vision. Champion engineering excellence by guiding architectural decisions, fostering good development practices and promoting continuous improvement to maintain a sustainably rapid delivery pace in a complex business environment. Drive and facilitate a shift of our core data models and software architecture in the operations area. Coach and develop engineers, supporting their growth through feedback, mentorship and clear expectations. Drive cross‑team initiatives and shared technical efforts across our broader R&D organisation. Actively foster and improve AI‑assisted development methods and tooling within the team and across the R&D organisation. Contribute to a well‑functioning and collaborative engineering culture aligned with Voi’s company values, and be a driver for diversity, inclusion and psychological safety within your teams. WHAT YOU NEED TO EMBARK You are an empowering engineering leader who combines a strong technical foundation with a people‑first mindset. You enjoy working in a fast‑paced, evolving environment, and you know how to create clarity, enable good decisions and help your teams do their best work. Degree in Engineering, Computer Science or a related field, or equivalent practical experience. 5+ years of hands-on experience with modern tech stacks, building reliable and complex software in a fast-paced environment. 2+ years of experience managing software engineering teams, with a strong focus on empowerment, collaboration and delivery. Ability to engage in technical discussions, understand trade‑offs and guide technical decisions together with your team. Eagerness to explore and apply the potential of AI both to your own work and that of the team. Strong communication and problem‑solving skills. Fluent in English, both written and spoken. Don’t meet every requirement? If you are excited about this role and our mission, and have relevant, transferable skills, we encourage you to apply – even if you don’t check every box. WHY VOI? Working at Voi is more than just a job; our People Promise includes a personal voyage where you will grow as a professional and be a part of a team and culture that builds something meaningful for society. In addition to this you’ll have the opportunity to: Join Europe’s #1 micromobility operator and one of the fastest‑growing scale‑ups. Get “skin in the game” through our employee options programme. Enjoy unlimited free Voi rides and a dog‑friendly office (where applicable). Work together with inspiring, motivated and fun colleagues towards a common goal. Join the micromobility revolution and be a part of creating sustainable cities made for living, free from noise and pollution.

YOUR MISSION AT VOI As an Engineering Manager at Voi, you will lead and support two small cross‑functional product teams – Fleet Care and Fleet Management – together responsible for the software that powers our fleet operations. This includes apps used both on the streets and in our warehouses, powered by complex optimisation algorithms and machine learning. You will report directly to the CTO and work closely with Product and other R&D leaders to ensure high‑quality delivery while fostering a positive, empowering and collaborative team culture. This is an excellent opportunity to combine technical depth with people leadership and have a tangible impact on the micromobility industry. * Lead and support the Fleet Care and Fleet Management engineering teams, developing our apps and tools that keep our fleet of vehicles running smoothly. * Partner with Product to define roadmaps, set goals and drive high‑quality delivery, balancing short‑term operational needs, continuous learning and iteration, and long‑term technical vision. * Champion engineering excellence by guiding architectural decisions, fostering good development practices and promoting continuous improvement to maintain a sustainably rapid delivery pace in a complex business environment. * Drive and facilitate a shift of our core data models and software architecture in the operations area. * Coach and develop engineers, supporting their growth through feedback, mentorship and clear expectations. * Drive cross‑team initiatives and shared technical efforts across our broader R&D organisation. * Actively foster and improve AI‑assisted development methods and tooling within the team and across the R&D organisation. * Contribute to a well‑functioning and collaborative engineering culture aligned with Voi’s company values, and be a driver for diversity, inclusion and psychological safety within your teams. WHAT YOU NEED TO EMBARK You are an empowering engineering leader who combines a strong technical foundation with a people‑first mindset. You enjoy working in a fast‑paced, evolving environment, and you know how to create clarity, enable good decisions and help your teams do their best work. * Degree in Engineering, Computer Science or a related field, or equivalent practical experience. * 5+ years of hands-on experience with modern tech stacks, building reliable and complex software in a fast-paced environment. * 2+ years of experience managing software engineering teams, with a strong focus on empowerment, collaboration and delivery. * Ability to engage in technical discussions, understand trade‑offs and guide technical decisions together with your team. * Eagerness to explore and apply the potential of AI both to your own work and that of the team. * Strong communication and problem‑solving skills. * Fluent in English, both written and spoken. Don’t meet every requirement? If you are excited about this role and our mission, and have relevant, transferable skills, we encourage you to apply – even if you don’t check every box. WHY VOI? Working at Voi is more than just a job; our People Promise includes a personal voyage where you will grow as a professional and be a part of a team and culture that builds something meaningful for society. In addition to this you’ll have the opportunity to: * Join Europe’s #1 micromobility operator and one of the fastest‑growing scale‑ups. * Get “skin in the game” through our employee options programme. * Enjoy unlimited free Voi rides and a dog‑friendly office (where applicable). * Work together with inspiring, motivated and fun colleagues towards a common goal. * Join the micromobility revolution and be a part of creating sustainable cities made for living, free from noise and pollution.

ABOUT THE ROLE The Machine Learning Engineer will join a newly formed team focused on MLOps and ML Engineering within the data science team. This role is crucial for uplifting the existing ML infrastructure into a robust, scalable, and production-ready system, specifically supporting the increasing needs of the company. The engineer will design, build, and maintain the infrastructure, tools, and processes required for continuous integration, continuous delivery, and continuous training (CI/CD/CT) of machine learning models. This is a highly technical role that will interface with data scientists, data engineers, data architects and software engineers to ensure the reliability and performance of ML systems at scale. YOU WILL BE RESPONSIBLE FOR: ● Designing, implementing, and maintaining scalable MLOps pipelines for model training, testing, deployment, and monitoring. ● Building and managing the cloud infrastructure to host and serve real-time and batch machine learning models. ● Establishing robust model monitoring (drift, performance, data quality) and alerting systems to ensure operational health of ML services. ● Assisting and collaborating with Data Scientists to ensure production readiness of models, focusing on code optimization for low latency and performance. ● Developing high-quality, reusable MLOps tooling and best practices to drive efficiency across the entire ML lifecycle. ● Driving automation initiatives to minimize manual intervention in model deployment and management. ● Troubleshooting production issues, performing root cause analysis, and implementing preventative measures for ML systems. OUR SUCCESSFUL CANDIDATE WILL HAVE THE FOLLOWING: Essentials ● Mid-senior level experience in a Machine Learning Engineer, MLOps Engineer, or similar role. ● Strong proficiency in Python for data and ML workflows and infrastructure automation tools (e.g. Terraform) for scalable infrastructure provisioning. ● Extensive experience with cloud platforms ( we work with GCP) for building and deploying ML systems. ● Deep understanding of containerization technologies and CI/CD pipelines. ● Solid experience with ML experiment tracking, model registry, and feature store platforms. ● Experience working with high volume, complex data architectures and real-time processing. ● Experience with SQL for data access and pipeline integration. ● A strong foundation in computer science fundamentals, software engineering best practices, and system design. Most importantly, we are looking for a continuous learning mindset and passion for researching and adopting the necessary technologies to solve complex MLOps and ML Engineering challenges. Nice To Have ● Experience working with Google Cloud Platform (GCP) services, particularly Vertex AI for training, deployment, and monitoring of ML models. ● Familiarity with building and deploying LLMs in production environments at scale. WHO WE ARE At the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what enables us to innovate, build, and lead as we trailblaze our way through the igaming industry. We’re a team of over 2000 innovators, initiators, and groundbreakers working in a fast-paced and agile environment across 19 offices worldwide. BENEFITS ● Hybrid work policy ● 4 weeks of Workation (T&C apply) ● 30 annual vacation days ● Occupational Pension ● 5,000 SEK wellness contribution annually ● Parental Leave Top-Up ● Possibility to enrol in a private health care insurance for both you and your partner ● 1,500 SEK equipment allowance ● Benify - benefits portal with many offers and discounts In our pride, we empower our teammates to find their roar and run with their wildest ideas. We don’t wait for things to happen; we pounce and make it happen! Would you be a good fit for the Leo Pride - give us a roar! **As our company working language is English, we’d like to see your CV in English, please**

Job ID: 4043 Welcome to Group Technology, where we pride ourselves on engineering solutions that directly impact Nordea's 2030 goals to modernize data technology and accelerate AI. We’re seeking a Technical AI Safety Specialist to build deep, hands-on technical expertise in the engineering-heavy risk areas that come with scaling AI and agentic systems across topics like AI gateway architecture, MCP servers and agentic tooling, red-teaming methodology, evaluation frameworks, and the cybersecurity implications of new AI capabilities. You’ll partner closely with engineering, architecture, and information security teams to turn that technical understanding into pragmatic governance guidance, technical risk assessments, and internal white papers. This role sits within the AI Safety team, which brings together architectural governance, AI risk operations and advisory capabilities to enable safe, trusted and compliant AI across Nordea. As AI and agentic systems become more complex, the team needs stronger technical expertise to understand how these systems are designed, secured, evaluated and operated, and to translate that understanding into practical guardrails, risk assessments and guidance. Nordea is a place where traditions meet tomorrow. We're not just a bank; we're a tech employer on a mission to evolve finance securely and responsibly. Together, we impact millions of people's daily lives by ensuring they can access our solutions anytime, anywhere, while safeguarding their personal data and wealth. Join us in making an impact on the banking industry.  This position is a full-time, permanent role with hybrid working location based in Helsinki, Finland, Copenhagen, Denmark, or Stockholm, Sweden. About our team  Meet the AI Safety team, part of AI Portfolio Delivery within Group AI, responsible for enabling safe, trusted and compliant AI across Nordea through efficient, scalable and holistic risk governance. AI and agentic systems are moving fast, and so is our remit. We’re building deeper technical capability so that our governance keeps pace with new architectures, tooling, and emerging risks, helping to streamline AI deployment and maintenance while ensuring effective risk management and regulatory adherence. Our culture emphasizes collaboration, continuous learning, and innovation in an open environment where diverse ideas thrive. We support each other's growth while pushing technology boundaries, prioritizing work-life balance, and open communication.  What you will be doing: Build and maintain deep technical knowledge of engineering-heavy AI risk areas, including AI gateways (e.g. Kong), MCP servers and agentic tooling, evaluation frameworks, and red-teaming methodology Partner with engineering, platform, and cybersecurity teams to understand how AI and agentic systems are built and operated, and translate that understanding into governance guidance Track emerging AI developments and assess the technical and security implications of new capabilities, protocols, and attack surfaces Author technical white papers, position papers, and risk assessments on AI infrastructure and emergent risk topics, written for both technical and non-technical audiences Contribute technical input to governance frameworks, evaluation criteria, and technical controls for AI systems, without owning their day-to-day implementation Engage with senior technical stakeholders across the organisation to pressure-test governance approaches against real engineering constraints Act as a technical peer to engineering and cybersecurity teams in cross-functional discussions on AI security protocols and technical controls Help shape what technical AI safety expertise should look like as the team’s scope and remit continue to evolve Translate deep technical understanding into governance positions, RACI, and decision processes that first- and second-line stakeholders can act on Who you are  You have a technical/engineering background and enjoy going deep on hard technical problems. You may not write production code day to day anymore, but you can hold your own in a conversation with a platform engineer about gateway architecture, or with a security engineer about red-teaming an LLM. You’re comfortable operating in ambiguity – this role and team will keep evolving as the AI landscape does – and you’re good at translating technical depth into guidance that non-technical stakeholders can act on. We're looking for someone with most of the following experience and skills: BSc or MSc in Computer Science, Software Engineering, Cybersecurity, or a related technical discipline 5+ years of experience in software engineering, platform engineering, security engineering, or a similar hands-on technical role 5+ years of experience working with AI/ML system architectures, including how models, data pipelines, and infrastructure fit together Experience with API gateways or similar infrastructure (e.g. Kong) and/or agentic protocols such as MCP Understanding of cybersecurity principles as they apply to AI and agentic systems, including common attack surfaces Familiarity with red-teaming or adversarial testing approaches for AI systems Hands-on experience with cloud platforms (e.g. AWS, GCP) in an AI context Ability to communicate technical depth clearly to both technical and non-technical stakeholders It would be ideal if you also have: Experience with AI evaluation frameworks or model/system testing methodologies Experience writing technical white papers, research summaries, or position papers Exposure to AI governance, risk, or compliance work, and an interest in bridging it with engineering Understanding of regulatory frameworks for AI in financial services or other regulated industries Experience with vendor or third-party technical risk assessments for AI platforms Familiarity with data governance and privacy considerations for AI systems We encourage applications from candidates who are passionate about the technical side of AI safety and meet most of these criteria. If this sounds like you, get in touch! Next steps We kindly ask you to submit your application as soon as possible, but no later than 16/08/2026. Any applications or CVs sent by email, direct messages, or any other channel than our application forms, will not be accepted or considered. If you have any questions about our recruitment process, please reach out to our tech recruiter and main point of contact anna.dahlstrom@nordea.com.

About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will join a hands-on engineering role focused on making modern development smoother, faster and more reliable. The work centers on improving developer productivity through internal tooling, reusable automation and scalable CI/CD solutions, while also supporting Azure-based data platforms in a cross-functional environment. This role suits you if you enjoy building practical solutions that other engineers rely on every day. You will work close to engineering and platform teams, with plenty of room to influence how workflows, quality and traceability are improved across the broader technical landscape. It is a great opportunity if you want to combine software engineering, DevOps and data-platform work in a role where your solutions will have clear and visible impact. Job DescriptionYou will develop Python-based automation, internal tooling and engineering workflows for production-oriented use. You will build, maintain and improve GitHub Actions, GitHub Workflows and reusable CI/CD pipelines. You will support Azure-based data platforms, including Databricks and related technologies. You will help strengthen software quality, traceability and engineering processes across teams. You will collaborate with engineers and platform specialists to deliver scalable technical solutions. You will contribute in both Windows and Linux environments, with a focus on reliable delivery and efficient development flows. RequirementsStrong Python skills for production-oriented automation and tooling. Practical hands-on experience with Azure Databricks, ideally including development of notebooks, pipelines or jobs, or Spark-based solutions. Experience with Azure data-platform technologies such as Spark, Kafka, Hadoop, schema enforcement, data quality validation or Power BI. Hands-on experience with GitHub Actions, GitHub Workflows and reusable workflow design. Solid Docker experience. Experience working with CI/CD in Windows and Linux environments. Ability to work independently while collaborating across teams. EU citizenship. Nice to haveExperience with data governance and data modelling. Experience with machine learning model deployment. Experience with GitHub CLI, REST APIs or GraphQL APIs. Experience with JFrog Artifactory or similar tools. Experience with Bash and or PowerShell. Experience with Git LFS. Experience with GitHub Enterprise Server and self-hosted runners. Experience with AI-powered developer tools or agentic engineering workflows. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.

Stories have the power to make the ordinary extraordinary. They help us think bigger, see beyond ourselves, and deepen our connection with others. As one of the world's leading audiobook and e-book streaming platforms, Storytel brings unlimited listening to millions of users across 25 markets. Driven by our purpose, "Leading the future of storytelling, we move the world through stories", Storytel Group inspires and entertains people around the world by blending innovation with tradition. We bring stories to life across various formats for everyone to discover. Anytime. Anywhere. Ready for your next chapter? We're looking for a Senior Platform Engineer to join our Platform Engineering team! About the Team The Platform Engineering team focuses on setting up, operating and redefining observability, infrastructure, CI/CD, runtime, Machine Learning and AI agentic tooling at Storytel. We apply software engineering principles to accelerate software delivery and ensure that application development teams are productive in all aspects of the software delivery lifecycle. We aim to design and build toolchains and workflows covering the operational necessities of the entire lifecycle of an application and to enable that as self-service for our teams. This means providing paved roads that make it easy for our application developers to focus on building a great experience for our users. We support the teams in making the most of our platform's capabilities and in providing best-practices knowledge. Our team's expertise is very diverse, varying from cloud infrastructure, through security, to development tools, ML platform tooling, AI and more. About the Role Take the next step in your career as a Senior Platform Engineer at Storytel! At Storytel, engineers are viewed as leaders within the Individual Contributor roles, aiming to create impact and drive initiatives to bring our audio entertainment service to millions of users. As a senior member of the Platform team, you will design, build and maintain the toolchains and workflows that help our teams manage the full life-cycle of their systems – including tools, libraries for our common languages, templates, automation, and configurations. You'll work across observability, deployment pipelines, quality assurance, availability, the runtime platform. A key focus of this role is our ML platform capabilities. With AI and LLMs becoming a strategic part of how Storytel builds product experiences we need someone who can shape the paved road for ML workloads on Google Cloud and Vertex AI – making it easy for product teams to develop, deploy, and operate ML-powered features safely and reliably. Python is the lingua franca of this space and a key language for the role. You'll also coach and unblock developers in their daily work, help them get the most out of the platform, and lead initiatives that improve developer experience across the organisation. You will work with technologies including Metaflow, Argo Workflows, Argo Events, ArgoCD, Kargo, GitHub, GitHub Actions, Grafana, Prometheus, Kubernetes, Google Cloud Platform (including Vertex AI), Infrastructure as Code (Terraform, Atlantis), Fastly, and more. About You To be successful in this role, we believe that you have: * A platform engineering mindset. You understand that the job is about empowering other engineers to do their absolute best work, and you measure your success by their productivity and happiness. * A software engineer's perspective. You've been in the shoes of an application developer and you understand the friction, the trade-offs, and the long feedback loops engineers deal with every day. * Significant hands-on experience with ML on Google Cloud, and specifically Vertex AI – building, deploying, or operating ML workloads, pipelines, or platform capabilities that other teams build on top of. Strong Python skills in this context are expected. * A deep care for developer experience. You believe that good DX has a direct, positive impact on team morale, delivery speed, and product quality – and you can point to things you've built that prove it. * Strong long-term thinking on architecture. You weigh the maintenance cost of every decision and prefer boring, durable solutions over clever ones that someone else will have to live with. * Pragmatic ambition. You have high standards and a vision for where the platform should go, but you also understand the constraints of working in a small organisation and know how to ship value incrementally. * At least 5 years of professional software engineering experience, with solid hands-on development skills.. * Strong experience with container technologies, Kubernetes, and distributed systems in production. * Strong experience with a major cloud provider – ideally Google Cloud Platform. * Experience working in DevEx-adjacent areas such as deployment pipelines, observability and monitoring, quality assurance, automation, self-service tooling, or runtime platforms. * An ability to communicate fluently in English (written and spoken) and to collaborate effectively across teams – this role does not work in isolation. Bonus points for experience or interest in: * Building internal developer platforms (IDPs), golden paths, and self-service tooling * MLOps tooling and patterns – feature stores, model registries, evaluation pipelines, online/offline serving * Building AI agents – hands-on experience designing, building, or productionising agentic systems (e.g. with frameworks like ADK, LangGraph, or similar), including tool use, orchestration patterns, evaluation, and operating agents reliably in production * LLM application infrastructure – prompt management, evaluation, observability, guardrails * Infrastructure-as-code and configuration management at scale * Working with databases – MySQL, Postgres, etc. * Linux/Unix internals Join a world of stories At Storytel, we're a team of creative story lovers who thrive on collaboration and new ideas. Our workplace is friendly, dynamic, and full of opportunities to experiment and make an impact. We believe in trust, flat hierarchies, and empowering you to grow with us. Does this sound like your next story? Simply fill out the application form and share your CV or LinkedIn profile – no cover letter needed. Answer a few questions, and you're all set.

About Us Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. We lean in: ownership over titles, outcomes over intentions. We fight for excellence: high standards, direct, ego-free feedback. We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. The role As a Data Scientist at Legora you will turn data into decisions. You'll sit close to the business, taking questions end-to-end: shaping the metric, modelling the data in dbt, running the analysis, and making the recommendation. You'll pull in new data sources when you need to, but the underlying instrumentation and platform belong to our data engineering team. Insights are useful; impact is what we hire for. We're an AI-first data team. We believe the data function should be redesigned around what AI now makes possible, not retrofitted with it, and we want someone excited to help define what that looks like in practice. There's no single profile we hire for. Some of us are strongest at data modelling and analytics engineering, some at experimentation and causal inference, some at machine learning, some at stakeholder influence. You'll likely be excellent at one or two of these and competent across the rest. That's the bar. We're a small, centralised team supporting the whole company, hiring for the person, not the seat. Depending on your strengths and where we have the biggest gap when you join, you could be embedded primarily with: Product: instrumentation, feature adoption, user behaviour, A/B testing, shaping the roadmap with PMs and designers. Finance & RevOps: ARR, NRR, forecasting, board reporting, pricing analytics across a 40-country footprint, and unit economics for an AI-native product. Growth & Marketing: acquisition funnels, attribution, campaign measurement, lifecycle analytics, and what actually moves enterprise legal buyers. GTM & Customer Success: pipeline analytics, customer health, expansion signals, and retention drivers in a category that didn't exist three years ago. You'll partner directly with leaders across Product, Engineering, Finance, and GTM, most of whom are unusually data-fluent and will happily open a SQL editor with you. Your work will directly influence how we prioritise, how we sell, how we price, and how we build. What you will be doing Partner with stakeholders across Product, Finance, GTM, Growth, and beyond to translate ambiguous questions into structured analyses and clear recommendations. Define the metrics that matter, design the experiments or analyses that test them, and measure the impact of what we ship. Conduct deep-dive analyses on the questions that move the business, and proactively surface the questions nobody is asking yet. Model the data you need for your work in dbt, pulling in new sources when necessary, and partner closely with data engineering on anything that needs to scale beyond your immediate use case. Build dashboards and reporting that scale beyond you, so the company can answer its own questions where possible. Help shape how the data team operates as we scale: standards, tooling, ways of working. What you'll need Strong proficiency in SQL and Python. Solid grasp of data modelling and what it takes to build analytical work that is reliable and trusted. Excellent communication skills and the confidence to influence decisions through data storytelling, including pushing back when the data doesn't support what someone wants to do. Genuine depth in at least one of the following, with competence across the rest and curiosity to grow: Data modelling and analytics engineering (dbt, dimensional modelling, semantic layers, self-service) Experimentation and causal inference (A/B test design, quasi-experiments, statistical rigour) Machine learning and applied data science (forecasting, prediction, segmentation, evaluation) Product analytics and metric design (funnels, cohorts, adoption frameworks, North Star metrics) Nice to have Experience in a product-led or SaaS environment, ideally B2B. Hands-on experience with our stack: Snowflake, dbt, Hex, Dagster. Prior experience as an early data hire at a fast-growing company, i.e. you've built the muscle, not inherited it. Most importantly, you are someone who "Gets stuff done" and understands building a $10bn company isn't always glamorous and takes hard work and long hours. Thrives in a fast-paced environment where the answers aren't always clear and processes are few. Is genuinely domain-curious. You don't need to have worked on every part of a business, but you should be excited to. Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.