Top Machine Learning Jobs in Germany

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.

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.

Lead the RevTech engineering domain at Flink, overseeing team growth, driving technical excellence, and integrating AI and automation to optimize commercial operations.

This is a full-time paid internship for final year bachelor's and master's STEM students to work on technologically challenging projects in fusion energy alongside experienced professionals.

The Senior AI Engineer will design and develop intelligent conversational systems for recruiting, focusing on agentic workflows, ML/NLP products, and system integration.

The AI Engineer will design, implement, and optimize AI/ML solutions for scientific workloads, collaborating closely with researchers to enhance workflows and performance in high-performance computing environments.

Lead developer-facing work on advanced real-time rendering and neural graphics: optimize GPU/CPU performance, develop and tune neural rendering and AI models, collaborate with AAA studios and NVIDIA architecture/driver teams, build demos, publish and present research.

As Product Manager for the AI Platform, you'll define and scale AI capabilities, lead strategy, implement use cases, ensure compliance, and collaborate with cross-functional teams to enhance client experiences and operational efficiency.

The Data Engineer is responsible for data collection, analysis, and visualization to optimize manufacturing processes and ensure compliance, while communicating insights to stakeholders.

The Applied Science Manager leads a team of scientists and engineers to develop solutions for Ads Personalization, focusing on real-time recommendations. Responsibilities include guiding research, ensuring high-quality project execution, and promoting collaboration across teams.

The role involves consulting with clients on technical needs, delivering customized demonstrations, and contributing to sales strategies while ensuring alignment with FICO's analytics solutions.

The Senior Software Engineer will focus on Machine Learning model development, data management, model deployment, and staying updated on NLP advancements.

As a Principal Software Engineer, you'll lead multiple teams in Risk Management, designing cloud-based solutions, mentoring engineers, and driving innovation.

Lead technical delivery with OpenAI partners across EMEA to design, deploy, and scale production-grade AI solutions. Provide hands-on prototyping, integration, architectural guidance, and governance while collaborating with partner teams and internal stakeholders to ensure reliability, security, and repeatable deployment patterns.

The Data Scientist will solve real-world problems utilizing data science techniques and build end-to-end data pipelines, collaborating with multiple teams to deliver solutions.

Lead end-to-end product for a programmatic ad stack: own Bidding SDK and Exchange, align technical roadmap with market needs, collaborate with Data Science on ML bid models, ensure OpenRTB/TCF compliance, manage P&L, and align cross-functional teams through OKRs to drive revenue growth.

Work on prototyping and implementing audio ML algorithms for real-time applications. Present findings and integrate solutions into existing platforms. Collaborate with experts in ML and DSP.

Partner with Value Stream leadership to identify, evaluate, and implement AI and digitalization solutions (ML, NLP, CV, RPA, GenAI). Run feasibility studies and POCs, drive rollouts, ensure scalable and responsible AI, monitor adoption, and support Kaizen events to embed automation and operational improvements.

Kittl seeks innovative individuals for engineering and product roles. Applicants should show passion for design, ownership, and collaboration. Areas include frontend, backend, full stack, data, and product management.

Manage and grow a portfolio of small-to-medium banking clients in payments; act as primary contact, identify opportunities, prepare quotations, liaise internally, support senior managers, and represent SWIFT at regional events to meet revenue targets.