Top Machine Learning Jobs in Germany

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 role involves data extraction from medical records, ensuring data quality, and collaborating with cross-functional teams to support product development and clinical documentation.

The VP of Value Engineering for DACH leads Value Engineers to enhance customer success through AI-driven process improvements, while driving ARR and product adoption.

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.

As an AI Architect, you will provide technical advisory on ServiceNow’s GenAI, drive customer outcomes, and lead enablement programs while collaborating with cross-functional teams.

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

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.

Join Valeo's 2-year Young Talent Accelerator Program focusing on Machine Learning and Digitalization, offering diverse assignments, mentorship, and international exposure, leading to a career in system engineering and project management.

Lead the regional model framework for transaction monitoring, overseeing model development and implementation while collaborating with various teams to ensure compliance and efficiency in identifying suspicious activities.

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

The Vice President, Product will define and scale the product vision for an AI-driven trade platform, overseeing product strategy and leading teams across multiple functions to enhance automation and address customer needs effectively.

The Senior Application Engineer will support customers by deploying technology on projects, training them on tools, and providing feedback to R&D. They require experience in RTL2GDS implementation and knowledge of Cadence or Synopsys tools.

The Functional Safety Manager will lead ISO 26262 certification activities, define safety strategies, conduct risk assessments, and ensure compliance across hardware and software teams.

Constructor University offers fast-track Ph.D. positions in Computer Science focusing on AI and ML for BSc graduates with strong scientific profiles, involving research and a 6-month internship.

Lead research in neuroscience and cognitive modeling, develop data fusion models, conduct experiments, supervise research teams, publish findings.

The position involves foundational AI research on semantic structure extraction and personalized content generation, along with teaching responsibilities in related fields at various educational levels.

As a Senior Machine Learning Scientist, you'll identify ML opportunities, work with teams to research algorithms, conduct data analysis, and prototype solutions for customer value, while applying advanced ML techniques and collaborating with engineers for production deployment.

As a product engineer at Intercom, you will develop technical plans, write Ruby code, collaborate with cross-disciplinary teams, and mentor other engineers while solving customer problems.

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

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 AI Business Development Specialist will identify business opportunities, build client relationships, and promote AI solutions in various sectors, with a focus on the MENA region.

The role involves building AI solutions for logistics, focusing on designing production-grade systems, problem-solving, and technical ownership without people management responsibilities.

Lead AI practice research and thought leadership to help enterprises scale AI for business value. Produce insights, advise executives, present at events, support sales, and collaborate on market analysis and content.