699 python English-speaking jobs in Paris

technologies (GPU, AI).Main ResponsibilitiesDevelopment and optimization of HPC applications (Fortran, C/C++, Python

event streaming, etc.) in a startup or scale-up environment.Technical skills: Proficient in SQL and Python

Our tech stack includes .NET Core (C#), Python, MS SQL Server, ElasticSearch, Spark, Azure Data Factory ... Strong programming skills in Python, with a solid grasp of OOP principles - C# programming experience

You write Python fluently and use it autonomously to control experiments, process data, and build reusable

experience delivering end-to-end data science solutions in a product environment Strong expertise in Python ... engagement Ability to translate complex data into clear business insights and impact Tech Stack (Example) Python

Strong in Python (strict typing, async, tests). ... LLM Agents Python RAG / Knowledge Graph LangFuse Tool Use / Function Calling Permanent (CDI): 90 KEUR

Good grasp of networking and security concepts/methodologies Nice to have: Scripting experience (Python ... monitoring tools, frameworks and processes Working knowledge of CI/CD pipelines Programming experience (Python

technologies, and basic ETL principles.Expertise in Data governanceProficient in programming languages such as Python

experience as an Electronic Trading quant at a trading firm or bank.Advanced programming skills in Python

Review, refactor, and enhance Python codebases to improve robustness, scalability, and maintainability ... and deliver scalable solutions. 3+ years of professional software development experience with strong Python

outcomes What You Need Hands‐on deep learning experience shipped in a professional environment Strong Python

Strong proficiency in Python (C++ is a plus). ... Responsibilities Automation: Develop Python scripts and tools to automate log analysis, telemetry parsing

employment at the time of hire and maintain ongoing work authorization during employment.Experience with Python

Lead NLP and LLM projects and Proof of Concepts (POCs). Design, implement, and deliver scalable machine learning libraries. Develop and debug Python code, implement models for structured and unstructured data, and apply LLMs to industrial solutions.

You’re proficient with Python on the backend, comfortable across the AWS ecosystem, and at ease with

profitable quantitative strategies with a long‑term Sharpe Ratio of 3+ Technical mastery: Experience with Python

professional experience in software engineering.Technical Proficiency: Strong software skills in C++ and Python

positive PnL and Sharpe Strong programming skills in mainstream quant programming languages, such as Python

working across multi-repository project structures Confident writing automation scripts in Bash and Python

Expert-level Python programming knowledge and demonstrable experience deploying models in a high-traffic