251 python English-speaking jobs in Germany

We expect you to have: 5+ years of professional software engineering experience Strong knowledge of Python

Advanced proficiency in Python and its key data and ML libraries (NumPy, PySpark, Scikit learn, TensorFlow ... mathematics, statistics, or data engineering. 2+ years experience as data engineer on AI/ML project with Python

Advanced proficiency in Python and its key data and ML libraries (NumPy, PySpark, Scikit learn, TensorFlow ... mathematics, statistics, or data engineering. 2+ years experience as data engineer on AI/ML project with Python

the team, as well as together with other teams (e.g. data team or index development team) Utilizing Python ... or knowledge in mutual funds, portfolio management, ETFs or indexing is a plus Programming skills in Python

from scratch and operating them, balancing feature development work with operational tasks Expert with Python ... growth-driven & looking to increase impact & responsibility over time Nice to Have Experience with our stack: Python

academic performance, particularly in courses relevant to this position Very good programming skills in Python

Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.

Proficiency in Python. Practical experience with PyTorch or JAX.

Deep expertise in Python and experience building production AI applications.

Good understanding of Node.js or Python, and React, and excitement about AI coding tools.

understanding of how modern machine learning models behave and fail in production environments Excellent Python

Technical depth & programming skills – highly proficient in Python and experienced with modern ML libraries

Strong programming proficiency in Python and C++ for embedded and robotics development; comfort working

Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp.

Strong software engineering skills in modern C++ (and/or Rust) and Python (PyTorch, Tensorflow), including

Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp.

\n Strong Python engineering fundamentals with clean, maintainable code, and deep experience with PyTorch

Expert proficiency in Python and ML/DL libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face

retrieval/RAG, evaluator design, guardrails, tracing/observability) * Software Engineering Proficiency in Python

Develop automation frameworks and leverage network automation tools (Ansible, Python, REST APIs) to streamline