684 python English-speaking jobs in Germany

Proven experience in statistical analysis and quantitative research methods with programming skills in Python

At least 5 years of professional software engineering experience, with strong hands‐on Python skills.

problems, design, experiment, and implement solutions in programming languages such as C/C++, Java, Python

Very good knowledge in MS-Office Knowledge of programming languages and operating systems (C, C++, Python

Proficiency in Python and the scientific computing stack (PyTorch, NumPy, SciPy).

Stream/Edge Familiarity with AWS, Proofpoint, and Zscaler/Cisco/FortiGate Proficiency in PowerShell, Python

Enterprise Linux 9, Puppet (GitOps), BIRD, rsyslog, and collectd You are proficient in languages such as Python

publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python

Knowledge of additional programming languages (e.g., Python, VHDL).

work autonomously, setting priorities and delivering to schedule  Competency in scripting languages (Python

Experience with scripting languages (Python, shell, etc.) for test automation and data analysis.

Have extensive experience with scripting languages such as Python, MATLAB/Octave or FORTRAN.

R or Python) would be an asset Very good level of written and spoken English, additional languages (especially

R or Python) would be an asset Very good level of written and spoken English, additional languages (especially

Strong scripting skills (Bash, Python, etc.) and familiarity with Linux/Unix environments.

Embedded Fundamentals: Fluency in C/C++ on resource-constrained microcontrollers; proficiency with Python

frameworks (e.g., LangChain or LlamaIndex), and Vector databases and embedding models Expert level in Python

runtime, and AI software ecosystems, including LLVM/MLIR, Triton, CUTLASS-style DSLs, PyTorch, JAX, Python

Several years of experience in machine learning engineering with Python (PyTorch) and strong software

. ~ Python, C# or TypeScript, REST and event-driven systems, observability practices, and experience