Top Machine Learning Jobs in Berlin

The role involves enhancing operational effectiveness in military operations through exercise development, collaboration, and innovation methodologies, focusing on integrating advanced technologies.

The Sales Account Manager will develop business from new accounts, manage strategic partnerships, collaborate with leadership, and enhance BioCatch's brand in Germany while exceeding sales objectives.

Design, build, and maintain production-grade GenAI systems and Python-based APIs. Implement end-to-end RAG, vector DBs, multi-agent systems, and secure MCP infrastructure. Optimize LLM integrations (OpenAI, Anthropic), event-driven architectures, and real-time messaging. Collaborate cross-functionally, create and refine prompts, and ensure reliability, scalability, and security in production generative AI solutions.

Senior AI/ML Consultant focuses on transforming AI ambitions into production-ready systems, guiding clients through the AI integration process and building operational AI strategies. The role includes leading projects, mentoring junior staff, and contributing to thought leadership in Data & AI.

The Senior Technical Product Manager will shape product strategy for Constructor's platform, ensuring capabilities support scalability and security for learning applications.

Lead pre-sales engagements to design and present AI-driven customer experience solutions using Genesys Cloud. Conduct discovery workshops, build demos and business cases, translate technical concepts to business value, collaborate with account teams and partners, and support adoption of conversational AI, automation, and cloud integrations across DACH.

Serve as the single point of contact for mid-to-enterprise customers, guiding onboarding, deployment, configuration, and adoption of Sophos cybersecurity solutions. Drive customer success through proactive account health monitoring, QBRs, technical guidance, risk mitigation, cross-functional collaboration, and stakeholder enablement to maximize value realization and secure renewals.

The AI Product Manager will drive the development of AI-powered applications, collaborating with engineering and design teams, conducting market research, and optimizing AI models to align with user needs.

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.

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.

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.

Develop intelligent agents for a materials discovery engine, orchestrating scientific workflows and integrating experimental design for sustainability solutions.

As an Applied Science Manager, you will lead a team of scientists and engineers in developing effective pricing algorithms, optimizing pricing strategies and business value through machine learning and operations research.

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.

Lead product vision and discovery for a genomics-driven diagnostic and personalization platform. Validate hypotheses with patients, clinicians, and partners; translate research into product specs; coordinate labs and data providers; partner with engineers and researchers to build AI prototypes; shape data, regulatory, and GTM strategy while making core product and architectural decisions.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Lead research and productionization of generative and representation-learning systems for large-scale recommendations. Build and optimize user/content embeddings, multi-stage retrieval/ranking pipelines, and deploy high-throughput, low-latency models in production while mentoring teammates and driving research direction.

Lead research on generative recommendation and large-scale user representations, translate SOTA research into production, optimize and deploy PyTorch-based foundation models, mentor senior scientists, and define multi-quarter research agendas across retrieval, ranking, and re-ranking on massive user behavioral datasets.

Join as the founding engineer to own architecture and ship features for an AI-driven adaptive learning platform. Build full-stack (Next.js/TypeScript/Python), implement LLM agents and RAG pipelines, iterate with schools, and shape technical strategy and hiring as an equity-holding co-founder.

Dragonfly is seeking Software Engineers for various portfolio companies, focusing on crypto technologies. Engineers of all experience levels are needed across multiple stacks.

Create and review realistic, locale-specific robotics and natural sciences tasks in the target language, apply scoring rubrics, evaluate AI and human responses for accuracy and regulatory alignment, and produce high-quality gold-standard solutions and feedback.

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.

The CRM Marketing Manager will architect AI-driven user journeys, optimize technical logic in Braze, and collaborate with data engineers to deploy predictive models for enhanced CRM experiences.

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

As an Engagement Manager, you'll ensure customer success in protein R&D by building relationships, tracking metrics, and leading cross-functional teams. You'll manage enterprise accounts and advocate for customers while aligning their needs with Cradle's offerings.