Top Machine Learning Jobs in Germany

Lead a team of Data Scientists and MLOps Engineers to build ML products that drive revenue and growth, manage talent, and shape technical strategies in collaboration with stakeholders.

The Director of Portfolio Management leads a team in optimizing energy portfolios, managing contracts, ensuring financial oversight, and integrating renewable assets, while fostering collaboration and stakeholder management.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

The Director of B2C Marketing will lead brand activities in Central Europe, develop marketing campaigns, manage budgets, and ensure ROI, while collaborating with cross-functional teams.

The Application Fraud Specialist will identify and mitigate application fraud risks, develop fraud indicators, and collaborate with teams to enhance fraud detection methods across the organization.

Design, develop, and deploy infrastructure for AI/ML initiatives. Collaborate with teams to create scalable solutions and maintain data serving capabilities.

The Anti-Fraud & Abuse Engineer will design and operate systems to detect and prevent fraud, analyze misuse, and mitigate impacts.

As a Senior AI Engineer, you'll focus on ML and LLMs, leading R&D projects, mentoring teams, and improving AI practices.

Join Motius' tech community as a freelancer, working on R&D projects in diverse tech fields like Software Engineering and Machine Learning.

The role involves developing and maintaining ML solutions for logistics, enhancing customer experience through efficient order allocation and delivery estimates.

Research and implement physics-informed AI algorithms, design workflows, supervise teams, collaborate with external institutes, and publish findings.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

The Staff Machine Learning Scientist will lead product vision through innovation, overseeing the R&D lifecycle, mentoring junior team members, maintaining research standards, and advancing AI technology in conversational systems.

As a Data Scientist, you'll design and deploy ML models to automate content creation and optimize product categorization, driving growth in a fast-paced environment.

Design, develop, and deploy scalable machine learning systems at Typeform, enhance AI capabilities, and collaborate across teams to drive innovation.

As a Junior Pricing Manager, you will analyze sales prices, manage pricing strategies, collaborate on machine learning for optimization, and report performance KPIs across multiple markets.

Join a global team to develop and prototype AI-based testing solutions for semiconductors, leading customer engagements for successful deployments.

This dual study program combines practical internship experience with academic study in computer science focusing on machine learning, business management, and language skills.

Lead the development of high-fidelity simulations and validation workflows for robotic systems, focusing on sensor simulation and mechanical modeling to ensure reliable performance in real-world and virtual environments.

Lead the development of robot policies, focusing on task planning, computer vision, and decision-making in robotics. Mentor teams, drive technical roadmaps, and collaborate on scalable AI solutions.

The Senior Robotics AI/ML Engineer at Analog Devices will develop AI-based robot policies, work on task planning and computer vision, and integrate AI into robotics systems, while collaborating with multidisciplinary teams.

As an intern, you will develop and optimize AI and ML algorithms using R&D data to drive innovation in consumer goods, collaborating with teams for impactful results.

Lead high-scope AI and ML projects, focusing on Generative AI. Collaborate with cross-functional teams to design and implement solutions that enhance patient care.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.