Top Machine Learning Jobs in Germany

Lead analytics engagements for financial services and payments: analyze large datasets, build statistical and machine learning models for credit risk, fraud, and customer behavior, support pre-sales and proof-of-concepts, collaborate with Sales/Product/Marketing to integrate solutions, and strengthen client relationships to identify new business.

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

The PhD researcher will focus on AI-driven semantic structure extraction, automated reasoning modeling, and personalized content generation, supporting interdisciplinary research and teaching activities in AI and NLP.

Lead the ML product roadmap for speech and NLP, convert customer feedback into prioritized ML work, define model evaluation gating, partner with engineering leads to ship production improvements, and own ML product KPIs to drive measurable user impact.

Develop and productionize risk and causal-inference ML models for fraud and credit, handling full ML lifecycle: data analysis, model development, deployment, monitoring, and scalable pipelines while collaborating across teams to drive business impact.

Lead architecture and governance of target market selling price systems for automotive electronic and acoustics products. Conduct competitive and market price analysis, develop pricing frameworks and scenario models, support sales and programs, drive modularization and cost initiatives, manage vendor partnerships, and lead cross-functional pricing transformations globally.

The AI Lead Product Manager will define and own the product strategy for AI-powered health data, lead product teams, engage with stakeholders, and ensure compliance with regulations.

The role involves developing mobile applications for energy visualization, focusing on native Android and cross-platform solutions, with AI features integration.

Proxima Fusion seeks passionate candidates for unsolicited applications to contribute to innovative clean energy solutions and support the development of fusion technology.

Design and build a scalable data layer for an AI-powered SAP consulting system. Own metadata architecture, develop pipelines ingesting SAP telemetry and consulting insights, and collaborate with AI/ML teams to provide high-quality signals for training and inference while ensuring data integrity, versioning, and long-term scalability.

Design and build a scalable data layer mapping relationships across SAP projects, own metadata architecture and data labeling, develop pipelines for SAP telemetry and consulting insights, collaborate with AI/ML teams to supply training/inference signals, and ensure data integrity and long-term scalable architecture.

As Product Manager for Electronic Warfare, lead product work across capabilities, engaging with users to define requirements and manage the product lifecycle in complex environments.

The role involves leading research in bidding algorithms, optimizing marketplace dynamics, and mentoring a team, requiring a PhD and over 10 years of experience in machine learning and ad tech.

Lead research, design, and production implementation of algorithms and predictive models for warehouse scheduling, planning, and routing. Deliver end-to-end solutions from prototyping to highly available production systems, influence R&D methodology, and mentor other applied scientists.

Drive end-to-end product development for iTero 3D imaging systems by translating clinical needs into software requirements, leading cross-functional agile teams, driving ML diagnostic initiatives from PoC to productization, analyzing clinical usage data for improvements, and embedding customer feedback into product decisions to enhance usability, performance, and clinical value.

Lead positioning, messaging, and go-to-market for FineReader and ABBYY's Document Parser/SDK. Drive developer ecosystem strategy, technical content, enablement, and GTM alignment while gathering market intelligence to inform product and growth priorities.

Lead a translational genetics team to apply statistical genetics and integrate genetics, genomics (including proteomics) and clinical data to inform target validation, biomarker discovery, indication and subgroup selection. Provide strategic leadership, hands-on analytical expertise, cross-functional project support, external collaborations, and communicate findings to senior stakeholders to accelerate drug discovery and development.

Lead neuroscience R&D for EEG-based BCI: develop signal-processing and classification algorithms, design/execute human-subject experiments, integrate neural data with hardware/software, validate and ensure regulatory and ethical compliance, and mentor junior researchers.

Lead product vision and discovery for a genomics-driven diagnostic and personalization platform. Validate hypotheses with patients, clinicians, and partners; translate research into product specs; coordinate labs and data providers; partner with engineers and researchers to build AI prototypes; shape data, regulatory, and GTM strategy while making core product and architectural decisions.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

This internship allows students to work on IT projects related to supply chain, data analytics, and digital transformation while gaining valuable industry experience.

Lead Backend Engineer responsible for building scalable, low-latency APIs and data-driven systems for Search, Recommendations, and Ranking. Design and optimize search/recommendation algorithms (including NLP), manage large data volumes with BigQuery/MPP warehouses, collaborate with data scientists, and drive architecture and feature delivery using Node.js/TypeScript.

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

The role involves developing new AI model architectures and adapting existing models, conducting experiments, and contributing to technical strategy in a high-growth research environment.

The role involves driving new AI software sales, engaging with executives, and leveraging industry expertise to close large enterprise deals.