1753 python English-speaking jobs in France

customer value What You Bring Strong engineering foundation (software / data engineering) Fluent SQL; Python

work at the intersection of engineering and data science Our Technical Environment Backend stack: Python

structural bioinformatics, computational chemistry, and AI/ML applications Strong programming skills (Python

written and spoken); French is a plusNice to Have (Bonus Skills)Knowledge of scripting languages (e.g., Python

Science, Statistics, Machine Learning, Applied Mathematics, or a related field Strong experience with Python

on-premises infrastructure and more.Proficiency in scripting and automation (e.g., PowerShell, Bash, Python

structural bioinformatics, computational chemistry, and AI/ML applications Strong programming skills (Python

gridsExperience in performance evaluation of algorithms applied to power systemsExpert in programming in Python

Required Skills Optimization tools Wireless communication systems Numerical simulation programming (Python

administration and operation of IT systems.Experience deploying security solutions.Scripting experience (Python

Experience coding in Python, bash scripting, and using OSS frameworks such as TensorFlow, PyTorch, Jax

in backend engineering, data infrastructure, or DevOps with production systems Strong proficiency in Python

Programming Languages: Python, TCL, sh. Good knowledge of Linux environment.

Real autonomy and responsibility in the projects you own Our stack and tools: Python, Tensorflow, Keras ... algorithms (particularly state-of-the-art architectures, such as Transformers) You are proficient in Python

looking for someone who:Brings senior-level expertise in at least two of our core stacks (PHP, C# .NET, Python

DeFi: protocols, liquidity, active players, and largest assets Strong familiarity working with SQL and Python

Proficiency in Python (for ML workflows) and familiarity with scripting tools for automation.

Java, C#, Python, Scala, Node.js) and modern frontend frameworks (e.g.

Java, C#, Python, Scala, Node.js) and modern frontend frameworks (e.g.

with multivariate data, and practical knowledge of machine learning methods; Programming skills in Python