583 warehouse sweden English-speaking jobs in Stockholm County

Develop, maintain, and improve automation, integrations, analytics, and digital processes supporting crew training operations. Work with operational training departments, system suppliers, IT stakeholders, and management. Experience with automation, analytics, system administration, or digital development in operational environments is required.

Machine Learning Engineer to develop deep learning models for predicting radiation dose distributions in cancer treatment. Will focus on training, evaluating, and deploying models, collaborating with medical experts, and ensuring performance meets medical standards. Requires a M.Sc. in a relevant field and 4+ years of experience in software development, machine learning, or a related field. Strong Python programming skills and experience with deep learning frameworks are essential.

Leads global development teams in the Nordics and Europe, owning Ingrid's project pipeline. Responsible for portfolio prioritization, resource allocation, risk management, and regulatory landscape monitoring. Drives project development from origination to Ready-to-Build status. Reports to the Chief Strategy Officer.

Research Engineer needed for up to six months to work on large-scale data collection, processing, and cleaning for research projects. Will also conduct benchmark experiments, network, and assist with teaching.

Own go-to-market strategy for new markets, audiences, and use cases at Lovable. Develop positioning, experiments, and cross-functional playbooks to drive repeatable growth. Lead company-wide initiatives, own end-to-end GTM motion, and design experiments to test GTM hypotheses.

Manage and perform safety assurance activities in projects, ensuring adherence to highest standards. Coordinate safety assurance activities across teams, build safety reports and cases, and apply methodologies like HAZOP, FMEA, and FTA.

Senior Software Engineer will shape the architecture and implement solutions for Instabee's locker network. Responsibilities include working across the stack, collaborating with product managers and designers, and contributing to a user-centric product.

Senior AI Engineer needed to design, develop, and deploy AI/ML solutions for engineering workflows. Requires 8+ years of experience in AI solution architecture and process redesign, expertise in Python and AI/ML frameworks, and strong understanding of cloud platforms and MLOps.

Experienced sales professional with 10+ years in technology sales, seeking a Vice President of Business Development role. Proven track record of exceeding sales targets and driving revenue growth. Strong communication, presentation, and negotiation skills. Knowledge of banking and financial services is preferred.

Machine Learning Engineer to develop deep learning models for radiation dose prediction in cancer treatment. Responsibilities include training, evaluating, and operationalizing models, analyzing results, and collaborating with medical physicists and oncologists. Requires a M.Sc. in a relevant field and 4+ years of experience in software development, machine learning, or a related field. Strong Python programming skills and experience with deep learning frameworks are essential.

Senior Product Manager to lead development of social features for a leading fishing app, focusing on UGC, sub-communities, and viral engagement. 5+ years of experience building engagement-driven products with a strong understanding of B2C subscription models required.

Lead and develop the Contract & Project Management team to ensure successful execution of contracts and projects, focusing on delivery, quality, and profitability. Drive cross-functional collaboration and support business development activities.

Regulatory Affairs professional to support regulatory activities for cardiology devices and software (SaMD) across the product lifecycle. Responsibilities include providing regulatory guidance, preparing technical documentation, supporting submissions, and collaborating with cross-functional teams.

Senior Data Scientist will design, deploy, and operate LLM-powered tools and workflows. Responsibilities include building, deploying, and maintaining machine learning models in production, applying statistical methods and machine learning to support product and business decisions, and communicating insights to stakeholders. Requires a Bachelor's or Master's degree in a related field, strong knowledge of statistics and machine learning, and experience developing and deploying models in cloud environments.

Senior Backend Engineer will build and scale backend platforms for AI agents and Model Context Protocol (MCP) servers. Responsibilities include designing infrastructure, defining platform standards, and developing evaluation frameworks. Experience with Kubernetes, distributed systems, and cloud-native environments is required.

Senior Product Manager will lead the strategy and roadmap for Spotify's tax technology ecosystem, partnering with Tax stakeholders to build and scale internal systems. This role requires experience in accounting, tax technology, or enterprise financial systems and strong product management fundamentals.

Shape the strategy and direction of Enea's Core Network Applications portfolio as Product Management Director. Define product strategy, prioritize requirements, and own the product roadmap. Partner with engineering, marketing, and sales teams to deliver releases. Monitor performance and customer feedback to guide product improvements.

Senior Software Engineer will design, build, and maintain web and cloud-based applications. Collaborate with product owners and customers to deliver high-quality solutions. Drive feature development from concept to deployment.

Lead the software organization for a global leader in electric hydrofoil vessels. Responsibilities include driving software development, setting architectural direction, and ensuring software quality and reliability across embedded systems, control software, user interfaces, and connected services.

Develop and refine statistical and machine learning models to detect financial crime. Explore and analyze large datasets to identify patterns. Investigate model behavior and communicate findings to technical and non-technical stakeholders.