Top Machine Learning Jobs in Germany

The Senior Data Scientist will analyze healthcare data to identify care gaps and segment key healthcare professionals, guiding strategic medical activities and mentoring other data scientists.

As the Sales Manager for Healthcare, you will develop new business, engage with stakeholders, and drive customer satisfaction in the DACH region.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

The Applied Research Scientist will develop advanced tools for enhancing written English using NLP, ML, and DL technologies, contributing to product development and research strategy.

Design, build, and productionize multimodal ML and semantic retrieval systems for multimedia search. Collaborate with product, design, and infra teams, run benchmarks, prototype features, and scale inference and retrieval across image, video, and text.

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

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.

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 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.

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.

Lead global commercial business development for digital services in discreet transportation and data centers. Build executive relationships, align cross‑functional teams, grow digital services revenue, govern delivery, and attract talent while collaborating across lifecycle, software, and device teams.

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.

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.

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.

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

As a Data Science Manager, you lead a team, manage data-driven marketing projects, enhance team competencies, and engage with C-level clients to drive business transformations.

The Senior Account Executive drives adoption of AI-based fraud and financial crime solutions, fostering relationships with financial services clients, achieving sales targets, and defining sales strategies in a quota-carrying role.

Own vision and roadmap for agentic AI across Pipedrive CRM. Define customer-facing agent experiences and underlying AI platform capabilities, including orchestration, APIs, safety guardrails, observability, and platform contracts. Partner with engineering, AI/ML, design, security and legal to deliver reliable, scalable, and compliant AI experiences that drive customer value.

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