Top Machine Learning Jobs in Germany

The Engineering Manager will lead the AI Platform Team, overseeing infrastructure development, hands-on coding, and supporting ML teams while planning high-impact roadmaps and improving developer experience.

Lead and manage a high-performing team focused on building AI infrastructure, supporting ML scientists, improving developer experience, and shaping AI platforms while staying hands-on in production code.

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

As a Staff Data Scientist, you will lead the design and implementation of machine learning models, optimize bidding strategies, mentor the team, and advocate for software engineering best practices in the ad tech sector.

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.

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.

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 role involves developing machine learning solutions for medical data analysis, especially processing surgical videos, and participating in the entire ML development lifecycle.

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.

As a Senior Data Scientist, you will build and maintain ML models for AML transaction monitoring, enhance features, and ensure regulatory compliance by collaborating with cross-functional teams.

Manage pricing based on KPIs and market analysis, collaborate on machine learning projects, and implement A/B tests for discount strategies.

The role focuses on client consulting and delivering commercial excellence in the Life Sciences industry, managing multiple workstreams and stakeholder relationships.

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

As Director of Sales, you will lead and develop a team of Enterprise Sales Representatives, focus on recruiting top talent, and drive new logo acquisition and account expansion through a well-structured sales strategy.

The Senior Manager will lead actuarial transformation projects, specializing in financial modeling and risk management for insurance companies, requiring expertise in data science and regulatory compliance.

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.

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

As a Machine Learning Engineer, you'll integrate intelligent systems into healthcare, build and deploy ML models on clinical datasets, and work with federated learning frameworks.

As an ML Research Engineer, you will develop computational methods and infrastructure to enhance molecular simulations and machine learning force fields for materials discovery.

The Senior Robotics Perception Engineer will design algorithms for object detection and terrain classification, implement machine learning techniques, and collaborate across teams to enhance the autonomy of ground vehicles in various environments.

Work with financial institutions to implement NVIDIA's advanced technologies. Provide technical guidance, stay updated on industry trends, and develop solutions with product teams.

The Scientific Editor will evaluate submissions, build networks for contributions, and collaborate on journal strategy to enhance impact.

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.

Lead and scale machine learning engineering teams, develop standards, drive technical strategy, and enhance collaboration across functional teams.

The Account Executive will leverage technical expertise in enterprise SaaS sales to drive revenue growth, build partnerships, and represent Neural Concept's technology in engineering sectors.