2208 English-speaking jobs in Bavaria

Develop and implement data models and algorithms to improve a digital twin of the global aviation market. Analyze and interpret aviation data, build data pipelines, and work with the product team to shape products for aviation clients.

Investigate privacy-preserving methods for distributed machine learning environments. Adapt secure multiparty computation libraries and develop machine-learning use cases. Collaborate on projects, publish research, and contribute to intellectual property.

Design and build scalable SaaS products within our AI Lab. Develop and maintain data architecture for high-volume, high-throughput applications. Drive faster ML delivery by building robust MLOps foundations. Accelerate AI product development by operationalizing LLMs. Increase engineering velocity and system reliability by developing CI/CD pipelines.

Intern will support an international AI team in developing and industrializing data science and machine learning solutions. Responsibilities include developing applications, participating in projects, and assisting with proof-of-concept transitions.

Support the development and optimization of safety concepts for a fully automated logistics system with robotics. Assist in understanding manual logistics processes, designing the automated system, and conducting site visits for data collection.

This temporary internship supports research, project development, and analysis within a service, product, or project group. Assists with internal communication and reporting. Requires enrollment in a Bachelor's or Master's degree program.

Lead SAP SD expert to design, implement, and optimize SAP Sales and Distribution solutions globally. Own end-to-end Order-to-Cash (O2C) processes, ensuring system integration and alignment with business objectives.

Drive the development of methods for optoacoustic data analysis, focusing on a portable mid infrared optoacoustic sensor for non-invasive blood biomarker detection. Collaborate with partners at the Karlsruhe Institute of Technology (KIT) to develop data analysis pipelines, signal processing, and inference methods.

Two doctoral positions (0.5 E13) are available at TUM starting April 1st or October 1st, in association with Professor G. Friesecke. Appointments are initially for one year, and are renewable for a further two years. Successful applicants will hold or are about to complete a Masters in mathematics, and will have previous expertise in analysis and algorithm design in electronic structure theory (especially tensor network methods) or optimal transport.

Manages day-to-day content operations, including product page maintenance, ensuring accuracy, and optimization. Collaborates with product teams to gather and organize product information. Supports new product launches and website maintenance.

Senior Infrastructure Site Reliability Engineer needed to build, operate, and enhance a hybrid cloud stack. Experience with Kubernetes, PostgreSQL, HashiCorp Vault, Terraform, and Ansible required.

Two-year global graduate scheme for ambitious engineers seeking international exposure and career growth. Complete four six-month rotations across international sites, working on real projects. Support engineering and operational projects, contribute to process improvement, and ensure compliance with company standards. Master's degree in Engineering required, fluency in English and German preferred. Willingness to travel and work abroad for at least one six-month assignment.

Senior Expert in Product Development will lead transformational change initiatives for automotive clients, focusing on full-vehicle architecture, efficiency, cost optimization, and EVs/CASE technologies.

Working Student / Master Thesis / Intern will contribute to research on quantum compilation, focusing on improving and optimizing quantum compilation stacks for early fault-tolerant quantum computers. Responsibilities include developing reinforcement learning and machine learning methods for quantum circuit design, implementing quantum error correction codes, and integrating new circuit design methods into existing software. Applicants should have experience in Python programming, quantum computing libraries, and machine learning algorithms.

The Chief Actuary will shape the financial stability and strategic direction of Allianz Commercial. Responsibilities include orchestrating technical provision estimations, overseeing actuarial risk capital models, providing portfolio performance diagnostics, and collaborating with Finance functions. The role requires a deep understanding of actuarial requirements for an international commercial P&C portfolio, experience leading international workforces, and expertise in integrating AI into business functions.

The Chief Actuary will shape the financial stability and strategic direction of Allianz Commercial. Responsibilities include orchestrating technical provision estimations, overseeing actuarial risk capital models, providing portfolio performance diagnostics, and collaborating with Finance functions. The role requires a deep understanding of actuarial requirements for an international commercial P&C portfolio, experience leading international workforces, and expertise in integrating AI into business functions.

Leads research-informed athlete performance programs, driving insights to improve athlete-product interactions. Develops and implements protocols, manages testing, and collaborates with cross-functional teams to bring innovative concepts to life.

Senior Business Value Consultant – Banking shapes, quantifies, and articulates the business value of SAP Fioneer solutions to executives. Leads value-based engagements, develops business cases, and prepares executive-level value stories. Drives value-focused input for RFIs/RFPs and facilitates stakeholder workshops. Requires 5+ years of experience in banking technology, management consulting, or solution consulting within financial services. Proven track record of owning, structuring, and defending business cases with senior stakeholders. Strong understanding of how business value is created, quantified, and communicated in large-scale banking transformations. Demonstrated ability to connect business strategy, financial impact, and technology enablement into a coherent value narrative. Solid understanding of core banking, payments, or transactional banking processes.

Software Engineer installs, configures, and validates software in customer environments. Resolves issues, integrates with customer infrastructure, and provides field feedback. Requires a degree in a relevant field, strong C# skills, and experience with desktop/UI frameworks. Willingness to travel 60% is essential.

Design and implement robotics software integrating ML model inference into perception, decision-making, and action pipelines. Ensure stable system behavior by handling latency, synchronization, safety constraints, and failure modes.