1347 English-speaking jobs in Bavaria

Forward Deployed Engineer builds production-ready AI solutions by partnering with business entities. Requires hands-on software engineering across the full stack, cloud-native experience, and knowledge of the modern data/AI stack.

Intern to support quantitative development within the rubiq platform. Responsibilities include coding new features, supporting quantitative tasks, and maintaining coding standards. Requires a master's in (financial) mathematics and Python experience.

Senior Commercial Project Manager for Rail Electrification. Assume full responsibility for commercial decisions in complex multinational projects, driving cross-country claim strategies and managing project performance.

Design coding tasks to challenge AI agents by creating realistic, reproducible Docker environments with broken software. Requires 3+ years in a backend stack, Python/pytest fluency, and AI coding agent experience.

Senior Staff AI Enablement Engineer to own AI strategy, governance, and infrastructure. Build and ship complex AI applications while owning platform layers like RAG and LLM gateways. Set engineering standards and mentor the technical community.

Build and deploy governed AI applications for various departments using LLM APIs and internal platforms. Prototype, enable non-technical teams, and ensure all solutions meet GRC standards.

Working Student Finance role involves owning fund numbers and building models/automations. Requires finance/econ studies, strong Google Sheets/Excel skills, and analytical problem-solving.

Assist with Cloud SaaS Sales Operations and Data Science. Responsibilities include Power BI dashboard preparation, data model analysis, and creating evaluations. Requires study in engineering, business, or informatics, with Power BI/Tableau expertise.

Assist with Cloud SaaS Sales Operations and Data Science. Responsibilities include Power BI dashboard preparation, data model analysis, and creating evaluations. Requires study in engineering, business, or informatics, with Power BI/Tableau expertise.

Senior Business Analyst needed for health insurance in the Insurtech market. Requires 5+ years as a Business Analyst with health insurance experience. Duties include gathering requirements, designing processes, and supporting testing.

Application Architect to own backend architecture for an AI-native GRC startup. Requires deep Java SpringBoot, DDD, Arc42, and full-stack React experience. Drive DevOps, CI/CD, and engineering practices.

Electrical Engineer to support the design and development of advanced OLED Vacuum Systems. Responsibilities include designing/modifying assemblies, performing analysis, and troubleshooting electrical issues. Bachelor's degree and 2-4 years of related experience required.

Senior Applied AI/ML Engineer develops and refines edge GenAI models for the BMW Intelligent Personal Assistant. Responsibilities include model selection, training pipelines, and implementing compression strategies. Requires CS/Engineering degree and PyTorch/Transformers expertise.

Contribute to pioneering technical advances in foundation models on structured data and world models for business problems. Requires PhD/Master's and 5+ years in ML on Structured Data, with Python fluency.

Build data foundations for SAP’s Knowledge Graphs by designing pipelines to ingest and transform structured/unstructured business data into RDF KGs. Map data to ontologies and operate triple stores.

Contribute to pioneering technical advances in foundation models on structured data and world models for business problems. Define benchmarks, architectures, and lead open-source contributions. Requires PhD/Master's and 5+ years in ML on Structured Data.

Contribute to technical advances combining Knowledge Graphs and Large Language Models, including agentic workflows. Requires PhD/Master's in relevant fields, experience with KGs/LLMs, and Python proficiency.

Pioneer technical advances in foundation and world models on structured business data. This role involves developing novel architectures, creating benchmarks, and publishing research at top-tier conferences. A PhD and ML experience are required.

Contribute to pioneering technical advances in foundation models on structured data and world models for business problems. Define benchmarks, architectures, and lead open-source contributions. Requires PhD/Master's and 5+ years in ML on Structured Data.

Define and lead complex business process transformation initiatives for Life Sciences (Biopharma) customers. Act as a process expert, applying deep Regulated Manufacturing knowledge to guide design and optimization.