102 Machine Learning & AI Jobs in Berlin, Germany

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• The Role Due to rapid growth in our core AI capabilities, we are seeking an experienced Applied AI/ML Engineer (Agents)…
• Bonus Points (But Not Critical): Experience applying ML models specifically for materials science, chemistry, or drug discovery application…

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• Strong machine-learning and software-engineering skills across data, models, serving, and monitoring.
• We are looking for a strong ranking generalist who can own ambiguous problems end to end and brings exceptional depth…

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• THE ROLE & THE TEAM We are looking for a Senior Machine Learning Engineer to enhance Zalando’s recommendation ML systems,…
• WE’D LOVE TO MEET YOU IF… 5+ years of experience with PySpark, ML Ops, AWS (SageMaker, CloudFormation), Apache Airflow, Python…

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• Applied AI Engineering & MLOps: Direct experience implementing RAG, fine-tuning methodologies, and prompt engineering.
• Your impact Drive Architectural Strategy & Scalability: Partner across Data Science, Platform Engineering, and Product teams to design the…

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• Mentor Data Engineers in ML Ops and GenAI techniques, and contribute to internal AI/ML guilds and best practices.
• You will act as the bridge between Data Engineers, Senior Data Analysts, Data Scientists, and business stakeholders, ensuring AI/ML work…

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• Role Overview: We are looking for a skilled Machine Learning Engineer with expertise in perception to strengthen our team.
• Solid understanding of machine learning, deep learning, and autonomous systems.

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• Tech stack and tools, which potential candidate will work with: Core ML: Python, PyTorch + PyTorch Lightning Experimentation: Databricks +…
• Build the Market Leader in Satellite Analytics with us at LiveEO We are looking for a Senior ML Engineer (f/m/x)…

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• Experience: 3+ years of experience in machine learning or AI engineering, with hands-on AI projects in production.
• You’ll work in interdisciplinary teams of data scientists, engineers, analysts and consultants to shape the future of data- and AI-driven…

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• Experience: 3+ years of experience in machine learning or AI engineering, with hands-on AI projects in production.
• You’ll work in interdisciplinary teams of data scientists, engineers, analysts and consultants to shape the future of data- and AI-driven…

Role highlights

• Firmen-Fitness, BusinessBike und ein eigenes Firmenboot Kostenübernahme für E-Learning-Kurse nach Wunsch Regelmäßiger Austausch: Wir besuch…
• Dein neuer Job Modelle trainieren, die wirklich in Produktion laufen – nicht nur im Notebook.

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• Deine Aufgaben As an AI Engineer, you’ll collaborate closely with our product and tech team to develop innovative features that…
• Strong Software-Engineering OR Data-Science background.

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• What you'll do Set the technical direction for the ML systems behind menu personalization, owning the end-to-end stack: feature pipelines,…
• You will set the direction for how we design, build, and operate the ML systems behind menu personalization, while staying…

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• Your Role & How we work We are hiring an AI Engineer (m/f/d) to holistically develop BIT Capital's LLM and…
• You have strong Python and SQL skills with clean engineering practices, plus cloud infrastructure experience (AWS strongly preferred).

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• Key Responsibilities: Design and own end-to-end ML and data systems — from ingestion and transformation to model integration and production…
• What you need to be successful Strong experience designing and scaling production-grade ML systems and data platforms, including large-scal…

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• As a Senior Machine Learning Engineer, you’ll: Build ML-based software systems that enable our users to craft great advertising experiences…

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• MLOps & Model Serving: You possess professional experience in machine learning operationalization, model serving (e.g., Triton, SageMaker),…
• As a Senior ML/Data Engineer, you will work with a talented cross-functional team made up of Applied Scientists, Software Engineers,…

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• You will also be responsible to: Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS…
• This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI…

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• Who You Are Must-Haves: Experience: 5-8+ years of hands-on experience in Machine Learning Engineering, specifically focused on building and…
• Acting as the bridge among Applied Science, Data Platform, and Backend Engineering, you will design robust, decoupled architectures and spe…

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• Hands-on experience building LLM-powered products, coding agents, or other AI systems.
• You’ll work on challenging problems at the boundary of model capability and product reality, with the freedom to stay hands-on…

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• Requirements About You 5+ years of software engineering experience, with at least 2 years focused on AI/ML systems in production.
• About the Role Design and build 1GLOBAL’s internal AI platform: RAG pipelines, vector search infrastructure, and conversational interfaces.

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• This is a team for engineers who enjoy building internal platforms, creating paved roads for others, and raising the engineering…
• A strong fit for this role is someone who: Thinks clearly about real-world AI risk, not just theoretical concerns Can…

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• If you have a passion for building production-grade AI agents, MCP-based tool ecosystems, and data-rich AI workflows, then this is…
• Job Description About You Are you looking for an opportunity to work on meaningful, cutting-edge projects at the intersection of…

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• The Role As an AI/ML Engineer , you will play a crucial role in designing, developing, and optimizing machine learning…
• Responsibilities Develop, train, and optimize machine learning models for various mobile app features.

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• Design and build end-to-end AI solutions Take systems from idea to production deployment Make architecture decisions and ensure scalability…
• We are currently looking for senior talent to help shape the technical solutions in one of our GenAI domains (Emerging…

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• We are looking for a Senior Machine Learning Engineer to join our Recommendations Experience team, focusing on building ML-powered features…
• You'll own features end-to-end: from understanding user needs with Product and Design, to architecting data pipelines processing billions o…