607 English-speaking jobs in Stockholm County

Senior ML Engineer will design, develop, and deploy scalable machine learning products with a focus on online prediction. Responsibilities include building and maintaining infrastructure, collaborating with cross-functional teams, and monitoring model performance.

Senior Software Engineer to develop, maintain, and improve core backend services. Experience with Golang/Java, cloud solutions (AWS), and high-availability systems required.

Design, deploy, and improve machine learning models for RELEX Promotions' business-critical systems. Support existing model operations and design data pipelines for new features. Evaluate and monitor model and system performance.

Senior Product Manager to lead Spotify's mobile playback experience, shaping how users engage with music, podcasts, audiobooks, and video. Define and evolve the user experience, partner with engineering and design teams, and drive innovation across content layers and playback modes.

Machine Learning Engineer will design, develop, and deploy scalable machine learning products. Responsibilities include building and maintaining infrastructure, collaborating with teams, and monitoring model performance. Requires 3-4 years of experience, a production track record, cloud experience, and expertise in Python and ML libraries. Must be based in Sweden and fluent in English.

PharmaRelations seeks a dynamic Nordic Head of Quality Assurance to lead and oversee quality assurance operations, drive strategic initiatives, and manage client relationships. The role reports to the EVP Nordic Development Services and requires proven experience in pharmaceutical quality assurance and strong leadership skills.

Senior Product Manager (AI Builder) will lead in-store discovery, own the end-to-end experience, and improve the scanning and recommendation process. You will prototype using AI tools, translate fit data into user experiences, and work with retail partners. Requires 5+ years of product management experience, strong product sense, and comfort working with customers in physical environments.

Lead and grow the platform and infrastructure team, ensuring delivery across the infrastructure domain. Define and evolve infrastructure and platform direction, making technical trade-offs across modernization, reliability, security, compliance, and cost. Own operational excellence across the platform, including reliability, observability, incident management, and continuous improvement.

Senior Data Scientist will build and maintain short-term forecasting models for energy volumes and prices. This role involves time-series modeling, rapid experimentation, and translating data into operational decisions. Responsibilities include owning the full model lifecycle, collaborating with engineers and market experts, and prototyping new models.

Machine Learning Engineer to design, build, and maintain MLOps infrastructure for continuous integration, delivery, and training of machine learning models. Will collaborate with data scientists, data engineers, and software engineers to ensure reliability and performance of ML systems. Requires experience with Python, cloud platforms (GCP), containerization, CI/CD pipelines, and ML experiment tracking.

Lead and build a Product Operations team to systematize product development and enable innovation. Drive transformation to a product-centric organization, improve processes, and empower teams.

Senior Software Engineer will design and implement behavior planning systems for autonomous vehicles in airside environments. Responsibilities include developing algorithms, collaborating with teams, and testing in simulated and real-world scenarios. Requires proficiency in C++, Python, and behavior planning algorithms.

Leads a critical domain spanning 5-7 teams, responsible for acquiring flows, settlement pipelines, and real-time risk decisioning. Drives modernization of high-volume, high-availability systems, partnering with a Product Leader to shape strategy and roadmap. Manages and develops a multi-team engineering organization, fostering high performance and operational excellence.

Chief of Staff to the CEO, supporting a high-growth startup in a fast-paced, unstructured environment. Requires 10+ years of experience in high-intensity environments such as MBB consulting, investment banking, or hypergrowth startups. Responsibilities include strategic planning, operational execution, communication, and leadership team alignment.

Develop and maintain simulation platforms to test and validate the safety and efficiency of autonomous vehicle systems. Collaborate with internal and external teams to define simulation needs and requirements.

Machine Learning Engineer will build and manage MLOps pipelines, enhance ML architecture, and develop real-time inference services. Responsibilities include ensuring feature parity between offline training and real-time inference, implementing monitoring for model performance, and supporting automation of trading and asset optimization.

D365 Finance & Operations Technical Architect needed for large-scale ERP program. Define technical architecture, guide development teams, ensure best practices, and oversee integrations. Strong D365FO, X++, Azure, and DevOps experience required.

Experienced Game Designer specializing in balance and systems tuning for mobile games. Architect systems for long-term retention and monetization, design in-game economies, and own game balancing across multiple titles. Requires 5+ years of experience in mobile game design, F2P models, and strong analytical skills.

Advises large companies, governments, and creditor groups in financially distressed situations on recapitalizations, reorganizations, valuations, mergers and acquisitions, and capital raising.

Design, develop, and deploy scalable machine learning models for recommendation, prediction, and classification use cases. Lead end-to-end ML initiatives, translating business needs into structured ML problems and delivering measurable outcomes. Build robust, production-ready pipelines and monitor ML systems in a cloud-native environment. Collaborate with product, engineering, content, commercial, and marketing teams to drive data-informed decision-making.