763 English-speaking jobs in Baden-Württemberg

09€/h gross) ShiftsWe offer both full-time and part-time opportunities with fixed shift schedules to suit different lifestyles. Shift options and availabilityvary by site, but you'll have the ability to choose your schedule later in the process.

Lagerhelfer role involves loading conveyor belts, transporting, and staging deliveries. Duties include preparing inventory, building, wrapping, and sorting packages. Must be 18+, proficient in German/English, and able to lift up to 15kg.

Sorting Associate role available. This position offers full-time or part-time shifts with fixed schedules. The role involves sorting and is open to candidates without prior logistics experience.

Warehouse employee role at Amazon. Opportunities available for full-time or part-time shifts. The position involves warehouse operations.

Warehouse Assistant role offering flexible full-time or part-time shifts. This position involves warehouse support and offers competitive hourly wages for day and night shifts.

Join the warehouse team as a student-friendly member. This role offers full-time or part-time shifts with fixed schedules. No prior logistics experience is required.

Shipping and Warehouse Staff needed. No prior experience is required. This role involves warehouse operations and offers full-time or part-time shift opportunities.

Amazon is hiring Warehouse Team Members for full-time or part-time roles. This position involves working in a warehouse environment.

Own the CIT AI platform target operating model, defining standards for LLM APIs and MLOps. Requires 7+ years in platform/ML engineering, strong Python/Cloud (Azure/AWS) skills, and experience moving PoCs to production.

Guide global employees in adopting and maximizing Microsoft 365 and modern workplace technologies. This role combines M365 Adoption Consulting, Change Management, Training, and Community Management.

Own the CIT AI platform target operating model, defining standards for LLM APIs and MLOps. Requires 7+ years in platform/ML engineering, strong Python/Cloud (Azure/AWS) skills, and experience moving PoCs to production.

Guide global employees in adopting and maximizing Microsoft 365 and modern workplace technologies. This role combines M365 Adoption Consulting, Change Management, Training, and Community Management.

Guide global employees in adopting and maximizing Microsoft 365 and modern workplace technologies. This role combines M365 Adoption Consulting, Change Management, Training, and Community Management.

Own the CIT AI platform target operating model, defining standards for LLM APIs and MLOps. Requires 7+ years in platform/ML engineering, strong Python/Cloud (Azure/AWS) skills, and experience moving PoCs to production.

Own the CIT AI platform target operating model, defining standards for LLM APIs and MLOps. Requires 7+ years in platform/ML engineering, strong Python/Cloud (Azure/AWS) skills, and experience moving PoCs to production.

Shape electron-optical performance for next-gen SEM and FIB systems. Design and optimize columns, model fields, and analyze aberrations. Requires Master's/PhD in physics or engineering with charged-particle optics knowledge.

Lagerhelfer position available in part-time or full-time. Shifts include early, late, and night options. The role requires working Monday through Saturday.

In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. Join us today. Inspire people tomorrow. Diversity is a part of ZEISS.

Develop innovative software for NFDI, focusing on automatic metadata extraction using LLMs and data analysis for materials science. Requires a STEM degree, experience in software development/LLMs, and strong English skills.

Develop innovative software for NFDI, focusing on automatic metadata extraction using LLMs and data analysis for materials science. Requires a STEM degree, experience in software development/LLMs, and strong English skills.