Top Machine Learning Jobs in Cologne

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

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

Assess and evaluate AI-generated technical content, craft and answer advanced ML/AI questions, identify errors and hallucinations, rank responses by correctness and clarity, and provide precise feedback to improve model performance.

Manage various AI/ML projects from concept to development, coordinating teams, managing risks, and ensuring project goals are met. Responsible for documentation and financial planning.

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

The Customer Success Manager will onboard and support Portuguese utility accounts, ensuring effective use of digital twin technology and driving long-term partnerships and customer satisfaction.

The Customer Value Architect will engage with customers to ensure the effective adoption and value realization of the Neara platform, focusing on ROI metrics and customer relationships.

The role involves managing Go-to-Market strategies, executing BTL campaigns, negotiating with partners, and analyzing campaign performance.

Manage strategic partnership initiatives by coordinating communication plans, workflows, and activations while ensuring stakeholder alignment and smooth execution.

As a UX Writer at Nebius, you'll improve user experience by creating UI copy, collaborating with teams, and developing guidelines.

The Senior AI Engineer will design and develop intelligent conversational systems for recruiting by architecting agentic workflows and integrating advanced ML/NLP products, while mentoring others and ensuring best practices.

The intern will contribute to MLOps, design AI/ML systems, implement research ideas, and work on various optimization models, while gaining hands-on experience.

As a Technical Program Manager, you will manage research programs, facilitate communication and processes, and support engineering and research teams in their objectives.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

The Head of Education & Community at Siena is responsible for developing product education, onboarding programs, community events, and market education resources. This role involves creating curricula, conducting workshops, and supporting sales with training and demos while leveraging AI for teaching efficiency.

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

Design, build, and maintain MLOps/LLMOps pipelines and infrastructure for deploying, monitoring, retraining, and scaling ML and LLM models. Optimize deployments for cost, latency, and reliability using cloud/on-prem platforms, container orchestration, CI/CD, experiment tracking, and data versioning while documenting best practices and mentoring teammates.

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

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.

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.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

The Head of Computer Vision will lead a team of ML Engineers, drive the long-term ML strategy, focus on breakthrough innovations, and establish cross-functional partnerships while mentoring and scaling the team effectively.

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

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.

The Applied Machine Learning Scientist will innovate and implement ML algorithms to enhance advertising performance, collaborate with engineers, and prototype in data-driven models.