Top Machine Learning Jobs in Germany

Lead the RevTech engineering domain at Flink, overseeing team growth, driving technical excellence, and integrating AI and automation to optimize commercial operations.

This is a full-time paid internship for final year bachelor's and master's STEM students to work on technologically challenging projects in fusion energy alongside experienced professionals.

The Senior AI Engineer will design and develop intelligent conversational systems for recruiting, focusing on agentic workflows, ML/NLP products, and system integration.

The AI Engineer will design, implement, and optimize AI/ML solutions for scientific workloads, collaborating closely with researchers to enhance workflows and performance in high-performance computing environments.

Lead developer-facing work on advanced real-time rendering and neural graphics: optimize GPU/CPU performance, develop and tune neural rendering and AI models, collaborate with AAA studios and NVIDIA architecture/driver teams, build demos, publish and present research.

As Product Manager for the AI Platform, you'll define and scale AI capabilities, lead strategy, implement use cases, ensure compliance, and collaborate with cross-functional teams to enhance client experiences and operational efficiency.

The Data Engineer is responsible for data collection, analysis, and visualization to optimize manufacturing processes and ensure compliance, while communicating insights to stakeholders.

The Applied Science Manager leads a team of scientists and engineers to develop solutions for Ads Personalization, focusing on real-time recommendations. Responsibilities include guiding research, ensuring high-quality project execution, and promoting collaboration across teams.

The role involves consulting with clients on technical needs, delivering customized demonstrations, and contributing to sales strategies while ensuring alignment with FICO's analytics solutions.

The Senior Software Engineer will focus on Machine Learning model development, data management, model deployment, and staying updated on NLP advancements.

As a Principal Software Engineer, you'll lead multiple teams in Risk Management, designing cloud-based solutions, mentoring engineers, and driving innovation.

Lead technical delivery with OpenAI partners across EMEA to design, deploy, and scale production-grade AI solutions. Provide hands-on prototyping, integration, architectural guidance, and governance while collaborating with partner teams and internal stakeholders to ensure reliability, security, and repeatable deployment patterns.

The Data Scientist will solve real-world problems utilizing data science techniques and build end-to-end data pipelines, collaborating with multiple teams to deliver solutions.

Lead end-to-end product for a programmatic ad stack: own Bidding SDK and Exchange, align technical roadmap with market needs, collaborate with Data Science on ML bid models, ensure OpenRTB/TCF compliance, manage P&L, and align cross-functional teams through OKRs to drive revenue growth.

Work on prototyping and implementing audio ML algorithms for real-time applications. Present findings and integrate solutions into existing platforms. Collaborate with experts in ML and DSP.

Partner with Value Stream leadership to identify, evaluate, and implement AI and digitalization solutions (ML, NLP, CV, RPA, GenAI). Run feasibility studies and POCs, drive rollouts, ensure scalable and responsible AI, monitor adoption, and support Kaizen events to embed automation and operational improvements.

Kittl seeks innovative individuals for engineering and product roles. Applicants should show passion for design, ownership, and collaboration. Areas include frontend, backend, full stack, data, and product management.

Manage and grow a portfolio of small-to-medium banking clients in payments; act as primary contact, identify opportunities, prepare quotations, liaise internally, support senior managers, and represent SWIFT at regional events to meet revenue targets.

Intern will explore collaborative learning and differential privacy while developing efficient systems for large ML models, aiming for academic publication.

The intern will contribute to MLOps, design AI/ML systems, implement research ideas, and work on various optimization models, while gaining hands-on experience.

You will lead insights-driven product management in AdTech, focusing on advertiser satisfaction and data-driven decision making for successful campaigns.

Lead the development of fraud prevention products, collaborating with technology and risk teams, analyzing trends, and ensuring compliance with regulations.

The AI Business Development Specialist will identify business opportunities, build client relationships, and promote AI solutions in various sectors, with a focus on the MENA region.

As a Senior Machine Learning Scientist, you'll identify ML opportunities, work with teams to research algorithms, conduct data analysis, and prototype solutions for customer value, while applying advanced ML techniques and collaborating with engineers for production deployment.

As a product engineer at Intercom, you will develop technical plans, write Ruby code, collaborate with cross-disciplinary teams, and mentor other engineers while solving customer problems.