Top Machine Learning Jobs in Hamburg

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.

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.

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

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

The Senior Machine Learning Engineer will design and implement evaluation frameworks for ASR and NLP systems, lead quality improvement efforts, and collaborate across teams to enhance model performance and ensure production readiness.

As a Senior AI Engineer, you'll design and develop intelligent workflows using ML, NLP, and agentic AI to enhance recruiting systems, mentor engineers, and innovate within the chat-based ecosystem.

Intern will explore collaborative learning and differential privacy while developing efficient systems for large ML models, aiming for academic publication.

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

Lead and inspire a team of Enterprise Sales Managers, drive sales growth, manage sales processes, and develop talent in a remote-first environment.

Lead the development of fraud prevention products, collaborating with technology and risk teams, analyzing trends, and ensuring compliance with regulations.

As a Data & Analytics Analyst, you'll collaborate with clients to create tailored solutions, implement prototypes, and share ideas to solve analytical challenges.

The AI Researcher/Engineer will develop AI agents to autonomously conduct scientific discovery, leveraging AI systems and scientific computing in materials research.

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.

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

As a Senior Solutions Consultant at Zendesk, you'll drive AI-powered CX solutions, lead technical discovery, architect scalable solutions, and collaborate across teams to enhance customer experiences.

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

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

The Senior Technical Product Manager will shape product strategy for Constructor's platform, ensuring capabilities support scalability and security for learning applications.

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.

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.

Develop and implement advanced generative AI models, collaborate with cross-functional teams, and innovate existing models for improved performance and speed.

The Pricing Advisory professional will assist clients in enhancing pricing strategies through consultation, model development, implementation support, and training sessions, while managing stakeholder relationships and navigating challenges in pricing sophistication.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

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