Top Machine Learning Jobs in Berlin

Lead the RevTech engineering domain at Flink, overseeing team growth, driving technical excellence, and integrating AI and automation to optimize commercial operations.

Design, build, and deploy production-grade ML systems and data pipelines in Databricks. Perform EDA, statistical A/B testing, feature engineering, and predictive modeling. Define metrics with stakeholders, produce dashboards and visualizations, and collaborate with product and engineering to drive KPI improvements while applying software engineering best practices.

The AI / Machine Learning Researcher will conduct applied research, develop prototypes, and work with data to create AI-driven features related to home design.

The role involves designing and testing AI solutions, managing research projects, collaborating with teams, and introducing new ML concepts for product development.

The AI Content Evaluator will review and assess content for alignment with guidelines, ensuring quality and consistency in annotation. Responsibilities include evaluating various content types, applying structured criteria, and adhering to project guidelines.

The Senior Machine Learning Engineer will design, build, test, and deploy machine learning models, develop scalable pipelines, and collaborate with teams to drive business decisions.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

The Pricing Advisory professional will assist clients in enhancing pricing strategies through consultation, model development, implementation support, and training sessions, while managing stakeholder relationships and navigating challenges in pricing sophistication.

Build and own end-to-end frontend and backend ML platform features, collaborate with product and research to productionize model and agent capabilities, and design scalable, reliable, and secure data science tools.

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.

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 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.

Lead the Voice team at Rasa, focusing on mentoring engineers, driving processes, and delivering voice features while maintaining strong communication and async practices.

This role involves enhancing a product through computer vision and deep learning, driving document parsing, improving quality metrics, and mentoring team members.

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 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.