Top Machine Learning Jobs in Germany

Support Machine Learning & Multimodal AI projects by researching ML models, developing prototypes, optimizing performance, and collaborating cross-functionally.

Lead and scale the Agentforce sales organization across EMEA Central, define sales strategy, drive revenue growth and adoption of AI-driven solutions, manage pipeline and forecasting in Salesforce, build executive relationships, and collaborate cross-functionally to expand strategic accounts.

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

As a data scientist, you will analyze complex data sets, develop predictive models, and lead algorithm development to inform decision-making in various sectors.

The role involves designing and testing AI solutions, managing research projects, collaborating with teams, and introducing new ML concepts for product development.

In this role, you'll engage with senior stakeholders to understand their business challenges, design AI-powered solutions, and guide customers through implementation and adoption, ensuring effective use of new workflows.

As a Senior Forward Deployed Engineer, you'll deliver AI solutions, engage with customers, and lead project lifecycles, including deployment and integration.

The Sr Value Manager will partner with DACH sales teams to craft business cases and value narratives for strategic decision-making by customers, focusing on AI and data platform capabilities.

Design and develop image/video diffusion models, perform large-scale model training, maintain data for training, and optimize models for production use.

As a Data Scientist, you will analyze complex datasets, develop predictive models, and guide clients in data-driven decision making while leveraging machine learning and AI techniques.

Lead the development and deployment of AI solutions in industrial settings, bridging technology exploration and practical applications. Responsible for guiding AI decisions, collaborating with teams, and driving customer-focused solutions.

As a Senior AI Product Manager, you'll shape the vision and strategy for Intercom's AI systems, collaborating with ML scientists and engineers to deliver impactful AI products and improve customer experiences.

Support data engineering and machine learning projects, utilizing natural language processing, predictive modeling, and providing actionable insights from data analysis.

The Senior Product Manager will own and drive the development of Kraken's Algorithmic Execution & Strategy Engine, focusing on execution algorithms, API specifications, and client engagement to optimize trading strategies.

Constructor University offers Ph.D. positions for MSc graduates in Computer Science focusing on AI and ML, including research and an industrial internship.

As a C++ Engineer, you will develop machine learning features, integrate models, maintain SDKs, and collaborate across teams for software performance and enhancements.

As a Staff Machine Learning Engineer, you will design and build ML systems to enhance advertising experiences, collaborate with teams, mentor others, and innovate in areas like generative AI and NLP.

The Senior Machine Learning Engineer will develop and deploy ML-based software, collaborate with stakeholders, and enhance Smartly's MLOps platform, impacting advertising experiences.

Lead technical improvements for the Customer Choice domain: own long-term architecture, troubleshoot critical cross-squad problems, promote best practices, drive reliability, scalability and efficiency of Kafka-based, JVM microservices, and consult stakeholders on trade-offs.

As an ML Application Engineer, you'll analyze engineering data, develop ML solutions, and train customer teams for AI adoption, working closely with engineering clients to enhance product design workflows using advanced technologies.

Lead the RegTech Engineering team to design and deliver secure, scalable IAM and regulatory automation systems. Define roadmap, mentor engineers, integrate GRC/CMDB tooling, ensure audit and compliance readiness (DORA, SOC2, ISO 27001), and advance automation and AI-driven solutions.

As an R&D Engineer, you will design and optimize AI pipelines, integrate LLMs into testing workflows, and analyze semiconductor data.

Lead the ML team by developing long-term strategy, driving innovation, and ensuring technical excellence while collaborating across departments and scaling the team.

As a Data Scientist, you will analyze structured and unstructured data, develop predictive models, and lead solutions to complex data challenges while providing insights to clients.

Perform remote, part-time data tasks to improve German AI content, including data collection, evaluation, annotation, pairwise comparisons, counting tasks, and object tagging across audio, video, and images.