Top Machine Learning Jobs in Munich

As a Data & Analytics Analyst, you'll collaborate with clients to create tailored solutions, implement prototypes, and share ideas to solve analytical challenges.

Lead design and development of scalable front-end applications using React and TypeScript for an AI/ML-powered cloud-native SaaS platform. Collaborate with product, UX, backend, and ML teams to integrate APIs and real-time services, drive front-end architecture, optimize performance and accessibility, and contribute to testing and continuous improvement.

The role involves integrating AI tools into .NET and C++ applications, optimizing models for performance, and collaborating with engineers on deployment and monitoring.

The role involves designing and developing model evaluation pipelines, user studies for subjective evaluations, and automated dashboards to report results, alongside leading the evaluation team and communicating with other teams to improve model performance.

Lead Germany AI strategy and a team of AI specialists to identify, prioritize, build, and scale machine learning, generative and agentic AI solutions across commercial functions, ensuring adoption, measurable value, and compliance with privacy, security, and responsible AI practices.

Work with traders, asset operators, and developers to analyze electricity market outcomes, improve trading and operational strategies, and drive customer success. Translate market workflows into product requirements, collaborate with engineering to enhance analytics, dashboards, and optimization models, and lead customer onboarding, implementation, and ongoing technical account management.

Drive NVIDIA revenue growth within pharma, biotech and life sciences in DACH by building healthcare-specific solutions, cultivating strategic accounts and partner channels, leading sales execution, and coordinating cross-functional teams to expand pipeline and close enterprise deals.

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.

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

Lead product strategy and roadmap for cloud-native retail platforms (POS, AI/Computer Vision, loyalty, promotions). Manage ~20 product professionals, drive migrations, internationalization, compliance, and cross-functional alignment to grow ARR, adoption, and platform scalability.

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

As an ML Application Engineer, you'll analyze engineering data, develop ML solutions, and train customer teams for AI adoption, working closely with engineering clients to enhance product design workflows using advanced technologies.

Design and develop image/video diffusion models, perform large-scale model training, maintain data for training, and optimize models for production use.

Lead neuroscience R&D for EEG-based BCI: develop signal-processing and classification algorithms, design/execute human-subject experiments, integrate neural data with hardware/software, validate and ensure regulatory and ethical compliance, and mentor junior researchers.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

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 end-to-end enterprise sales in Financial Services for Cloudflight’s tech portfolio. Generate pipeline, engage executives, develop tailored solutions and proposals, close complex deals, and grow strategic accounts. Coordinate with delivery, architects, and partners (Microsoft, Databricks, AWS). Manage CRM, forecasting, and cross-sell/upsell activities across cloud, data, AI/ML, and custom software offerings.

Design and develop control architectures and advanced control algorithms for integrated electrical and automation systems. Lead subsystem integration for synchronized plant operation, modernize power management strategies, and implement diagnostics and predictive maintenance to improve reliability and performance.

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

Develop, test, and deploy software for mobile manipulators focusing on perception, motion planning, control, sensor fusion, localization, and mapping. Integrate hardware (arms, grippers, sensors), optimize real-time system performance, troubleshoot hardware/software issues, and apply research and machine learning methods to improve task execution in production environments.

Lead development and implementation of analytics and predictive models to support R&D Quality oversight across clinical, safety, laboratory, and vendor data. Build dashboards, risk indicators, automated monitoring, and audit-support tools; integrate complex data to identify portfolio-level risks and translate findings into actionable quality recommendations that support GCP/GVP/GLP/GCLP compliance and inspection readiness.

Lead global marketing strategy and GTM to scale Aisle into a market leader. Own brand, PR, product positioning, full-funnel demand generation, ABM, marketing tech stack, RevOps, attribution, budget/agency management, and grow a multidisciplinary marketing team aligned to revenue targets.

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.

Develop and integrate reinforcement learning agents into autonomous aerial systems, ensuring reliability and performance. Collaborate with teams and enhance the software stack while mentoring peers.