Top Machine Learning Jobs in Munich

Provides strategic and hands-on biostatistical leadership across pharmaceutical discovery, translational, biomarker, and early research programs. Designs studies, analyzes complex biological datasets, develops advanced statistical methods and reproducible R workflows, and translates evidence into portfolio decisions. The role collaborates with quantitative and scientific functions, supports publications and external partnerships, mentors statisticians, and advances data-driven analytical practices.

Lead complex enterprise customer engagements as the senior technical authority for data and AI strategy. Drive Databricks adoption, consumption, competitive displacement, and revenue growth through architecture, migrations, streaming systems, lakehouse platforms, and AI/ML solutions. Manage executive relationships, orchestrate cross-functional teams, mentor solutions architects, develop competitive strategies, and contribute to technical thought leadership. Weekly travel is required.

Lead end-to-end architecture, implementation, and delivery of Blue Yonder Warehouse Management and related execution solutions. Serve as the primary client contact, manage timelines, budgets, risks, and deliverables, and lead solution teams and integrations. Provide functional and technical guidance, mentor junior staff, align solutions with business objectives, and collaborate with project managers, delivery partners, and stakeholders to deliver successful client outcomes.

Develop and optimize machine learning models for understanding and generating 3D CAD parts. Build CAD data pipelines, implement geometric deep learning workflows, deploy models to production, improve performance, and collaborate with product and engineering teams. The role requires Python, PyTorch or TensorFlow, 3D data representation expertise, ML engineering practices, and experience productionizing models. CAD software, computational geometry, and MLOps experience are preferred.

Sell Zscaler Zero Trust Branch solutions across DACH, owning regional quota, building account-based strategies, partnering with solution engineers, engaging C-suite and technical stakeholders to close complex deals for SD-WAN, data security, and advanced network products.

Manage relationships with AI-native startups, scaleups, and labs in Germany. Understand customer goals, develop AI solution strategies, coordinate NVIDIA technical and business resources, drive adoption of AI platforms, build ecosystem partnerships, develop customer references, identify emerging use cases, and represent NVIDIA at industry events. The role requires deep AI industry knowledge, strategic planning, cross-functional collaboration, and familiarity with NVIDIA’s software, server, and cloud stack.

Own end-to-end talent acquisition and headhunting for Arago’s technical hiring across France, North America, and Israel. Partner with the CEO, CTOs, and engineering leaders to define roles, source and close senior engineers, scientists, and technical leaders across hardware, optical, software, and research. Build proactive sourcing pipelines, improve interview processes and hiring standards, monitor pipeline health and hiring velocity, and communicate progress to leadership.

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.

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

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

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.

Own production optimization of LLM and VLM inference systems, improving latency, throughput, memory efficiency, GPU utilization, quality, reliability, and cost. Deploy and benchmark inference engines, build compression and quantization workflows, implement acceleration techniques, diagnose serving bottlenecks, and collaborate with kernel, platform, research, product, and customer teams.

Design, build, test, and improve plugin-based forecasting models from business need through production deployment. Own ML and modeling initiatives end to end, evaluate performance across customer environments, distinguish generalizable solutions from customer-specific requirements, and use AI-assisted engineering tools. Work autonomously with customers and cross-functional stakeholders in a distributed international team, with occasional travel.

Owns an AI-native fintech product vertical end-to-end, including strategy, roadmap, technical design, delivery, metrics, and launch. The role covers APIs, data flows, ledgering, reconciliation, security, scalability, regulatory requirements, financial rails, AI evaluation, safeguards, and cross-functional alignment across engineering, compliance, operations, treasury, finance, and design.

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.

As Lead Systems Engineer, oversee integration of EO/IR sensing systems, manage technical suppliers, define requirements and ensure operational readiness.

Build end-to-end machine learning systems spanning research reproduction, model evaluation, inference infrastructure, backend services, and product interfaces. Design rigorous experiments, evaluation datasets, and verification workflows; analyze model internals; investigate provenance and evasion; and convert findings into reliable production systems with APIs, background jobs, observability, testing, documentation, and user-facing React/TypeScript experiences.

Build and maintain high-performance differentiable simulation software for open and closed quantum systems using Julia and Python. Develop model-learning, parameter-inference, neural-network PDE-solving, and optimisation methods. Benchmark research methods, improve performance and reliability, collaborate with university faculty, publish results, supervise students and interns, and contribute to teaching materials.

Design AI-powered healthcare product experiences for clinical workflows, including documentation, patient summaries, search, agent workflows, multimodal interactions, uncertainty handling, and approval flows. Lead discovery, prototyping, and user validation; collaborate with ML engineers, product managers, software engineers, and clinicians. Contribute AI interaction patterns and components to the design system, establish AI design principles, and promote trustworthy, high-quality experiences for hospital users.

Deliver operations-focused strategy consulting engagements across procurement, supply chain, manufacturing, and digital operations. Lead workstreams, perform advanced analytics and ML-driven solutions, synthesize recommendations, manage client relationships, and coach junior team members to drive sustainable performance improvements.

Deliver client engagements in operations-focused performance transformation across procurement, supply chain, manufacturing, and digital operations. Lead major workstreams, perform rigorous analysis, synthesize recommendations, coach junior staff, collaborate with clients, and apply advanced analytics and digital solutions to improve operational performance.

Analyze and validate private markets investment data (PE, debt, real estate, infrastructure); compute performance metrics; build data models, reports, and Power BI dashboards; query large datasets with SQL; manage client onboarding, data requirements, and escalations; explore AI/automation for data workflows and mentor junior staff (Senior).

Lead technical discovery, solution design, demonstrations, and proof-of-concept support for Anaconda’s AI and data science platform across EMEA. Partner with account executives on complex deals, create reusable technical content, represent customer needs to product and engineering, and coordinate with cross-functional teams through implementation handoff. Manage multiple opportunities independently while improving technical win rates, deal expansion, sales velocity, and regional pipeline development.

Lead simulation-driven development of power modules using multiphysics (electrical, thermal, mechanical) models, digital twins, AI-augmented optimization, and automation to accelerate SiC/GaN power-electronics design and reliability prediction while collaborating with global teams.