Top Machine Learning Jobs in Germany

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

The Pathology Scientist will oversee pathology for clinical trials, support R&D activities, lead project teams, and ensure compliance with regulations.

Design, build, and operate production AI systems for tax advisory: document intelligence, RAG over tax/legal knowledge, data pipelines, prediction and anomaly detection, and monitoring/evaluation. Collaborate with engineers and domain experts to deploy reliable, explainable AI that reduces manual tax work.

Build end-to-end AI systems and agents for procurement workflows. Improve search/matching, build evaluations and data pipelines, implement structured outputs and guardrails, and support backend scalability and reliability in a fast-paced startup environment.

The Senior Data Product Manager drives product maturity and strategic growth at Seqana by translating user needs into technical requirements, overseeing product lifecycles, and exploring market opportunities.

The Senior Robotics Perception Engineer will design algorithms for object detection and terrain classification, implement machine learning techniques, and collaborate across teams to enhance the autonomy of ground vehicles in various environments.

The Senior Software Engineer will develop AI-powered recruiting products using Python, manage microservices, build RESTful APIs, and collaborate with teams on scaling applications.

Support sales by conducting technical discovery, delivering customized demos and POCs, designing solutions with customers, responding to RFIs/RFPs, coordinating internal teams, answering security questionnaires, and acting as a trusted advisor on fraud/AML and financial crime prevention.

As an Enterprise AI Adoption Manager, you will guide companies in adopting AI, manage enterprise accounts, drive AI transformation, and work closely with engineering and product teams to deliver value.

The Consulting Manager will lead AI transformation programs, work with executives on strategy, drive business growth, represent the company in discussions, and mentor teams.

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.

Lead AI and machine learning architecture, mentor teams, drive innovation, and evaluate tools for AI systems development across global teams.

Lead the development of large language models for marketing technologies, optimize AI solutions, and mentor junior team members to drive innovation and quality.

The position involves foundational AI research on semantic structure extraction and personalized content generation, along with teaching responsibilities in related fields at various educational levels.

The Head of Education & Community at Siena is responsible for developing product education, onboarding programs, community events, and market education resources. This role involves creating curricula, conducting workshops, and supporting sales with training and demos while leveraging AI for teaching efficiency.

Design, train, test, deploy, and maintain machine learning models and pipelines to process large datasets for AFRICOM. Collaborate with other engineers to select ML algorithms, build mission-critical solutions, and provide technical guidance to senior military stakeholders.

Lead system-level architecture for a first-of-a-kind stellarator power plant, integrate plasma, magnets, cryogenics, and controls; close design loops with subsystem teams, quantify model uncertainties, run first-principles and reduced-order studies, and turn analyses into actionable engineering decisions to optimize performance, margin, and cost.

Lead and manage a team of solution architects and consultants to design and deliver AI-driven digital transformation programs across Germany and Austria. Provide architectural direction for AI, data platforms, analytics, IoT, and application modernization; ensure secure-by-design and cloud security practices; coach and grow the team; and support strategic customer engagements and delivery execution.

Build and ship in-product AI capabilities: integrate LLMs and RAG, design prompting and evaluation, implement MLOps/LLMOps, ensure production reliability, privacy, and compliance, and collaborate with data, platform and product teams to move AI from prototype to production.

Responsible for driving business development of AI products, managing the sales cycle, building client relationships, and ensuring contract negotiations are completed.

Manage various AI/ML projects from concept to development, coordinating teams, managing risks, and ensuring project goals are met. Responsible for documentation and financial planning.

Lead FP&A for Germany: develop and maintain financial planning, controls, reporting, budgeting and forecasting. Manage FP&A team, financial analysis, valuation models, stakeholder partnering, and drive automation, digitization and multi-dimensional data models to enable reliable financial decision-making.

Lead development and optimisation of Net Revenue Management (NRM) analytical platforms, drive adoption and training, partner with commercial teams to translate insights into actions, solve complex data problems, and manage stakeholder relationships to support NRM transformation across multiple European markets.

Lead a delivery lane for forward-deployed AI engineering, hire and manage a decentralized team, drive production ML/AI automation (50% hands-on), standardize templates/skills, and coordinate stakeholders to accelerate domain onboarding and business impact.

Provide data-driven insights and decision support for customers using data analysis, model configuration, tuning, simulations, and visualization. Support pricing and cognitive solutions, present findings, define success metrics, adhere to ITIL support processes, and travel to customer sites (~10%).