Top Machine Learning Jobs in Germany

Develop core methods for temporal ontology extraction and contradiction detection. Collaborate with research teams and publish findings. Prototype ideas, create datasets, and validate methods.

As an AI Product Manager, you will define the product roadmap, collaborate with teams to launch AI features, and drive data-driven decisions.

The role involves integrating AI tools into .NET and C++ applications, optimizing models for performance, and collaborating with engineers on deployment and monitoring.

The role involves designing and developing model evaluation pipelines, user studies for subjective evaluations, and automated dashboards to report results, alongside leading the evaluation team and communicating with other teams to improve model performance.

The Global Campaign of Learning Specialist will enhance operational effectiveness for USAFRICOM by integrating best practices, advanced technologies, and training programs. Responsibilities include real-time observation capture and analysis to improve decision-making.

Work with traders, asset operators, and developers to analyze electricity market outcomes, improve trading and operational strategies, and drive customer success. Translate market workflows into product requirements, collaborate with engineering to enhance analytics, dashboards, and optimization models, and lead customer onboarding, implementation, and ongoing technical account management.

Join Oliver Wyman's Data & Analytics team to design and implement analytic solutions and prototypes for clients across industries. Work on NLP, ML, and GenAI projects, build models (e.g., PD, loss models) in Python/R, validate AI chatbots, and translate complex analytics for client decision-making while collaborating with global teams.

Design, architect, and deliver command-and-control (C2) software integrated into military and security systems. Implement end-to-end features across frontend and distributed backend services, optimize performance and reliability, define subcontractor work packages, and collaborate with cross-functional teams to meet technical and operational requirements.

Develop and validate analytical solutions for the Revenue Management system, build forecasting and pricing models, monitor system outputs and user interventions, drive stakeholder adoption, and use AI/ML tools to improve revenue optimization and commercial decision-making.

Drive AI adoption by identifying and prioritizing AI use cases, developing business cases, collaborating with data and tech teams to implement solutions, facilitating workshops, enabling stakeholder adoption, and ensuring responsible AI governance and value realization across the enterprise.

As a Navigation Engineer, you'll design navigation algorithms, develop simulation frameworks, and collaborate with engineering teams to enhance navigation capabilities in GNSS-denied environments while owning the navigation process end-to-end.

Write, edit, localize and proofread English-language email and social media copy for Google Nordics/Benelux; create social-first assets, run A/B test variants, collaborate with designers, developers, analytics and audience teams, and maintain brand voice and campaign documentation.

Lead the Affordability domain for Quick Commerce: define vision and roadmap, deliver item-level promotions and pricing solutions, align global stakeholders, partner with engineering and data science, run experiments, and measure impact on conversion, AOV, and retention.

The role involves enhancing operational effectiveness in military operations through exercise development, collaboration, and innovation methodologies, focusing on integrating advanced technologies.

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 build state-of-the-art web applications using Java/Kotlin and Spring Boot. Follow agile, TDD and clean-code practices, mentor peers, work with clients, and contribute to projects including ML cloud detection, public portals, and consumer apps.

Design and build scalable, low-latency backend APIs and product-stream ranking systems using typed languages. Integrate with data platforms and BI, manage large datasets, collaborate with engineers, PMs, and data scientists, and contribute to new features and technical improvements.

Lead product strategy and roadmap for cloud-native retail platforms (POS, AI/Computer Vision, loyalty, promotions). Manage ~20 product professionals, drive migrations, internationalization, compliance, and cross-functional alignment to grow ARR, adoption, and platform scalability.

Drive NVIDIA revenue growth within pharma, biotech and life sciences in DACH by building healthcare-specific solutions, cultivating strategic accounts and partner channels, leading sales execution, and coordinating cross-functional teams to expand pipeline and close enterprise deals.

The Sales Account Manager will develop business from new accounts, manage strategic partnerships, collaborate with leadership, and enhance BioCatch's brand in Germany while exceeding sales objectives.

Own and deliver data products that power an adaptive digital shelf: define roadmap, partner with data science and engineering to build ML-driven personalization and recommendation models, run A/B experiments, monitor model and business KPIs, and align cross-functional stakeholders to drive conversion, AOV, and retention.

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.

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.