Top Machine Learning Jobs in Berlin

As a Senior AI/ML Engineer, you will design ML solutions, create datasets, architecture improvements for AI agents, and contribute to MLOps practices.

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.

Lead and mentor a team of Applied Scientists and AI/ML Engineers to design and deliver production-grade AI solutions across structured CRM and unstructured data. Drive technical strategy for agentic workflows, RAG/vector DB systems, and real-time reasoning. Partner with AI Platform on LLMOps and cloud infrastructure, act as a technical authority, and contribute as a high-impact individual contributor to ship customer-focused AI products.

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

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.

The Senior Product Manager will own and drive the development of Kraken's Algorithmic Execution & Strategy Engine, focusing on execution algorithms, API specifications, and client engagement to optimize trading strategies.

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

As a Senior AI/ML Engineer at SumUp, you will develop and deploy AI-driven solutions, manage ML infrastructure, and collaborate across teams to enhance customer experience and automate support services.

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

As an AI Research Engineer at Helsing, you'll architect and enhance deep learning frameworks, optimize infrastructure for distributed training, and develop strategies for large datasets while collaborating with a cross-functional team.

The Senior AI Engineer will design and develop intelligent conversational systems for recruiting, focusing on agentic workflows, ML/NLP products, and system integration.

The role involves designing AI solutions, managing tools, and advising leadership on AI trends, ensuring data readiness and compliance while driving business impact and ROI.

Lead the development of a real-time recommendation engine in Ad Tech, optimizing machine learning solutions for high availability and low latency while mentoring engineers and collaborating with cross-functional teams.

The Senior ML Software Engineer will design and build scalable production-grade ML systems, support buying decisions, and collaborate with Applied Scientists and stakeholders to optimize assortment management.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

Design and implement scalable machine learning systems, collaborate with product teams, and apply MLOps best practices in production environments.

Design and scale predictive ML systems for VIS.X, taking end-to-end ownership of various high-impact ML initiatives and shaping the ML architecture.

This internship focuses on designing solutions for secure data preparation in ML workflows, ensuring data privacy while maintaining model performance. Interns will prototype methods using advanced technologies like Trusted Execution Environments and contribute to academic publications.

Seeking a Senior/Lead Machine Learning Engineer with expertise in inference optimization, model acceleration, and high-performance systems for developing real-time multimodal models.

As a Senior Machine Learning Platform Engineer, you will design and manage data and ML pipelines, implement CI/CD, and optimize cloud infrastructure, focusing on natural language processing.

As a Senior ML Researcher at JetBrains, you will train LLMs for software engineering agents, design experiments, and mentor junior colleagues.

The Senior Machine Learning Engineer will design evaluation frameworks, diagnose model performance, develop ML systems, and mentor junior engineers while collaborating across teams.

The Senior Infrastructure Engineer will design and maintain AWS infrastructure for AI/ML workloads, focusing on deployment, security, and collaboration with ML teams.

Design, build, and scale core infrastructure for machine learning models, manage production systems, and implement best practices in MLOps.

The Machine Learning Engineer will develop high-performance algorithms for retail decision-making, optimizing solutions and supporting data scientists in applying these algorithms effectively.