Top Machine Learning Jobs in Germany

Lead DMPK-PD strategies and translational pharmacology across discovery and development. Provide PK/PD and PBPK modelling, DDI assessment, human dose/regimen prediction, author regulatory submissions, implement biomarker/bioanalytical strategies, and advise cross-functional project teams to enable clinical candidate selection and program progression.

The Data Engineer role focuses on developing predictive models and enhancing data engineering practices to support business objectives. Responsibilities include writing clean code, model evaluation, and collaboration with a global team to improve reporting and campaign management.

Work with AAA developers to optimize GPU/system performance for path-traced and neural rendering, develop and tune neural rendering algorithms and AI models, profile and optimize low-level performance, collaborate with architecture and driver teams, and create demos, papers, and presentations for conferences.

Build, deploy, and scale Bayesian MMMs and econometric/time-series models to measure marketing impact. Engineer reproducible, production-grade model pipelines, automate validation and health monitoring, and translate model outputs into business decisions while partnering with marketing leadership.

Lead and scale Feedzai's EMEA partner ecosystem (GSIs, OEMs, acquirers, processors, hyperscalers, ISVs). Drive partner strategy, joint go-to-market, partner-sourced revenue, onboarding/enablement, KPIs and reporting, and support joint marketing and demand-generation activities.

Design and develop perception algorithms for autonomous vehicles, focusing on 3D detection, sensor fusion, and deep learning optimization. Collaborate with teams to ensure production-ready solutions and stay current with advancements in computer vision and robotics.

The Expert Machine Learning Optimization Engineer will optimize machine learning models for self-driving vehicles, focusing on performance, robustness, and real-time deployment on automotive hardware.

The AI Product Manager will drive the development of AI-powered applications, collaborating with engineering and design teams, conducting market research, and optimizing AI models to align with user needs.

The Account Executive will leverage technical expertise in enterprise SaaS sales to drive revenue growth, build partnerships, and represent Neural Concept's technology in engineering sectors.

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.

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

Assess and evaluate AI-generated technical content, craft and answer advanced ML/AI questions, identify errors and hallucinations, rank responses by correctness and clarity, and provide precise feedback to improve model performance.

As a Pathologist at Mindpeak, you will ensure the medical quality of AI systems, validate annotations, and lead pathology projects for scalable cancer diagnostics.

The Data Scientist will design algorithms for insights, structure data, collaborate with machine learning engineers, and analyze datasets to improve workflow automation and product value.

Corti is seeking passionate individuals to join their talent community, shaping the future of healthcare through AI technologies. Opportunities include roles in AI technology, machine learning, and software development, focusing on reducing errors and improving patient outcomes.

The role focuses on client consulting and delivering commercial excellence in the Life Sciences industry, managing multiple workstreams and stakeholder relationships.

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

As a UX Writer at Nebius, you'll improve user experience by creating UI copy, collaborating with teams, and developing guidelines.

Lead EMEAI Logistics operations, managing a team of 140+ logistics professionals to meet customer expectations and drive digital transformation. Develop logistics strategies to improve service and reduce costs while ensuring compliance with performance standards.

As a Senior Data Scientist, you will build and maintain ML models for AML transaction monitoring, enhance features, and ensure regulatory compliance by collaborating with cross-functional teams.

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.

As Lead Systems Engineer, oversee integration of EO/IR sensing systems, manage technical suppliers, define requirements and ensure operational readiness.

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

As an Applied Science Manager, you will lead a team of scientists and engineers in developing effective pricing algorithms, optimizing pricing strategies and business value through machine learning and operations research.

Develop, deploy, and maintain AI/ML models for digital manufacturing. Work with complex data to build features, implement MLOps/CI-CD, monitor model performance and drift, and collaborate cross-functionally to define deliverables and timelines.