669 English-speaking jobs in Munich

Software Engineer to maintain and extend risklab's platform, focusing on REST APIs, microservices, and cloud-native infrastructure. Experience with Azure, Docker, Kubernetes, and CI/CD is required.

Lead end-to-end operations for a leading European online grocery business. Own group-wide strategy, P&L, and execution across multiple markets, driving scalability and transformation.

Own the AI and automation agenda across finance, transforming the operating model. Lead cross-functional programs, redesign core finance processes around agents, and build solutions using AI tools.

Drive strategy and execution for operations within a fast-growing e-grocery platform. Lead Product Owners, manage innovation projects, and optimize fulfillment using data and automation. Requires 7+ years in product/logistics.

Own the end-to-end search experience for Redcare Pharmacy. Shape relevance, ranking strategies, and discovery by collaborating with data science and ML teams. Requires strong ownership in search products and a data-driven mindset.

Lead the design and delivery of (Gen)AI solutions for Life Sciences clients. Direct multiple projects, translating business challenges into scalable analytics. Requires 6–10+ years in data science with GenAI expertise.

Senior Data Analyst to drive data-driven decisions for marketing leadership. Own dashboards, build data models in Snowflake, and use AI tools for analysis. Requires 5+ years of experience, advanced SQL, and Python skills.

Lead the Mobile team in delivering iOS and Android apps. Mentor engineers, plan delivery, and optimize workflows. Requires expertise in Swift, Kotlin, and integrating Agentic AI.

Senior Product Manager to drive supply chain and fulfillment efficiency across Europe. Own the roadmap for SaaS and in-house tools, translating operational needs into scalable systems. Requires 5+ years in e-commerce/logistics.

Develop and modernize the GRIPS platform, transforming complex market data into reliable investment insights. Key tasks include building ETL pipelines, managing Oracle DB schemas with PL/SQL, and developing Python applications.

Senior Underwriting Integrity Manager supports global underwriting governance and strategic projects. This role ensures clear, practical governance across Lines of Business, contributing to underwriting integrity and compliance.

Manage AI engineering teams building agent-based and conversational AI services. Own people management, capacity planning, and delivery leadership for applied AI into production. Requires 8+ years engineering experience with 3+ in people management.

Senior Conversational AI Engineer to design, build, and operate voice agents for customer-facing use cases. Requires 5+ years in agent building, multi-turn dialogue systems, and strong NLU/API integration skills.

Senior Backend Engineer to build and operate global, production-grade AI services. Requires 5+ years experience, expert Python, and cloud/DevOps expertise with Docker, Kubernetes, and Azure.

Build and operate cloud infrastructure for AI-enabled solutions at scale. Implement and maintain Kubernetes, CI/CD pipelines, and Infrastructure as Code using Azure and Terraform.

ASIC Digital Design Expert to lead digital design for advanced Mixed-Signal and SoC ASICs for MEMS consumer sensors. Responsibilities include module concept definition, digital circuit design, and validation support. Requires 5+ years in IC digital design.

Drive delivery and build the Industrial Data Fabric for Siemens' AI Operations platform. Manage a distributed R&D team, translating roadmaps into technical designs for data ingestion, knowledge graphs, and industrial system integration.

Drive growth for Europe’s largest residential virtual power plant by developing new commercial models, launching offerings, and managing technical dependencies. Requires C1 English and strong analytical skills.

Build and train neural networks for object detection and perception using time-series data. Implement perception algorithms and optimize custom loss functions. Strong experience in computer vision, deep learning, and PyTorch is required.

ML Data Engineer owns the ML data lifecycle for perception systems, building and curating datasets from raw sensor data. Responsibilities include designing scalable pipelines, managing object detection datasets, and operating active learning loops.