Top Machine Learning Jobs in Germany

The Grading Station Project Engineering Lead oversees the design, construction, and startup of a potato processing facility, managing logistics, automation technologies, and digital implementations.

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.

The Customer Success Engineer will act as a technical expert and advisor, ensuring customers adopt Deepgram's voice technologies effectively, manage customer relationships, conduct demos, and drive growth opportunities.

The role involves driving execution of complex technical programs, aligning teams, establishing best practices, and championing rapid experimentation within AI agent development.

The Associate Applied AI Engineer will support customer engagements, develop AI solutions, and work with the Value Engineering team in the DACH region, utilizing Celonis technology.

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

Responsible for selling SailPoint's IGA Solution Suite to large organizations, navigating C-level relationships and managing lengthy sales cycles.

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.

Provide operational support, develop automation tools, drive project enhancements, troubleshoot database issues, and ensure system stability for customers.

The Senior Consultant will drive customer digital transformation, enhance process efficiency using data insights, and leverage Celonis technology for optimal solutions in various business processes.

Join Sonar's Code Quality Team to design and implement advanced solutions for static code analysis, focusing on AI-driven capabilities and programming language semantics.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

As a Senior Consultant, you'll help organizations optimize business processes by using data-driven insights and leveraging AI and machine learning technologies.

As a Senior Consultant at Celonis, you will lead digital transformation for clients by leveraging AI and Process Analytics to derive actionable insights from data, improve business processes, and drive product adoption.

As a Senior Consultant, you'll drive customer digital transformation by developing data-driven insights, implementing process analytics, and improving production efficiency using SQL and Celonis technology.

As a Senior Consultant, you will drive customers' digital transformation by leveraging data insights, executing process analyses, and implementing Celonis solutions to enhance business value and efficiency.

As a Consultant, you'll drive customer digital transformation through data analysis, process improvement, and the implementation of Celonis technology.

Design, develop, and deploy infrastructure for AI/ML initiatives. Collaborate with teams to create scalable solutions and maintain data serving capabilities.

Designs and builds technical GTM experiments, demo applications, and integrations while collaborating with the founding team and early adopters. The role emphasizes fast iteration and collecting feedback.

Join Motius' tech community as a freelancer, working on R&D projects in diverse tech fields like Software Engineering and Machine Learning.

The role involves developing and maintaining ML solutions for logistics, enhancing customer experience through efficient order allocation and delivery estimates.

The Product Assurance Engineer will oversee document deliveries, support maintenance tasks, conduct audits, prepare reports, and manage stakeholder interactions.

Develop and validate ML models for clinical research, collaborating with stakeholders to extract insights from unstructured medical data.

The Head of Fraud Strategy & Analytics will lead fraud detection strategies, collaborate with data science teams, optimize monitoring systems, and manage technology vendors to enhance fraud prevention while mentoring analytical teams.

The Director of Portfolio Management leads a team in optimizing energy portfolios, managing contracts, ensuring financial oversight, and integrating renewable assets, while fostering collaboration and stakeholder management.