Top Machine Learning Jobs in Germany

The Applied Machine Learning Scientist will innovate and implement ML algorithms to enhance advertising performance, collaborate with engineers, and prototype in data-driven models.

Design and implement architectures with generative AI models, optimize LLM performance, research advancements in AI, and collaborate with teams to develop solutions.

As a Partner Solutions Architect, you will build and maintain technical relationships with partners, support solution development, and enable AI practices to drive revenue.

Lead business development in Life Sciences, drive client acquisition, and develop AI & Data strategies. Mentor teams and foster collaborations across departments.

The Senior Technical Product Manager will shape product strategy for Constructor's platform, ensuring capabilities support scalability and security for learning applications.

Develop and integrate reinforcement learning agents into autonomous aerial systems, ensuring reliability and performance. Collaborate with teams and enhance the software stack while mentoring peers.

Lead the core biometric recognition technology team, managing the full lifecycle of ML systems focused on iris and face recognition while ensuring privacy and reliability at scale.

The Expert AI Director will lead AI programs, manage relationships with stakeholders, ensure project alignment with business goals, and mentor teams.

As a Senior/Staff Product Manager, you will drive the strategy and execution for the marketplace, enhancing partner experiences and collaborating with cross-functional teams to optimize product offerings.

Lead and grow a team of Product Managers to enhance customer experiences on a global scale by defining content strategies and evaluating tech solutions.

As a Senior Solutions Consultant at Feedzai, you will drive sales for the RiskOps platform by understanding and addressing clients' technical needs, delivering product demonstrations, and managing formal tenders and proposals.

As a Machine Learning Engineer, you'll develop machine learning solutions for medical data analysis, particularly focusing on surgical video processing. You will engage in all phases of the ML development lifecycle to enhance surgical procedures through intelligent software components.

Lead the development of robot policies and task planning. Collaborate with cross-functional teams to create real-world robotics solutions, incorporating AI technologies and MLOps practices.

As a Senior Machine Learning Platform Engineer, you will design and manage data and ML pipelines, implement CI/CD, and optimize cloud infrastructure, focusing on natural language processing.

As a Senior ML Researcher at JetBrains, you will train LLMs for software engineering agents, design experiments, and mentor junior colleagues.

The Senior Machine Learning Engineer will design evaluation frameworks, diagnose model performance, develop ML systems, and mentor junior engineers while collaborating across teams.

Design and maintain MLOps infrastructure, productionize research code into Python/C++ packages, implement CI/CD and IaC (Terraform/Ansible) across Cloud/Edge/On‑prem, enforce engineering standards (Git, Docker, testing), add observability (MLflow, ELK), and consult scientists to optimize workflows and deployments.

The Senior Product Manager will lead the DPAI Arena project's evaluation standards, working with stakeholders, curating datasets, and defining metrics for success.

The role involves building and scaling data pipelines, ensuring efficient data flow for ML model training and evaluation, and collaborating on data needs.

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.

Design, build, and scale core infrastructure for machine learning models, manage production systems, and implement best practices in MLOps.

Lead strategic client relationships and drive business growth for FICO by structuring complex deals and providing innovative analytics solutions.

The role involves developing AI solutions for automotive applications, focusing on machine learning techniques for perception, planning, and prediction tasks.

As a Data & Analytics Analyst, you'll collaborate with clients to create tailored solutions, implement prototypes, and share ideas to solve analytical challenges.

The intern will focus on architecting systems for reliable task execution in machine learning agents, implementing verification layers, and optimizing performance.