602 python English-speaking jobs in Île-de-France

intellectually curious across a breadth of industries and topics TECHNOLOGIES:Programming Languages: Python

Python)Prior experience in data annotation for AI/ML, especially LLM training (SFT, RLHF, preference

workflows Have experience working with AI agents and RL environments in production Are proficient in Python

workflowsHave experience working with AI agents and RL environments in productionAre proficient in Python

debugging complex distributed systems at scale, with an emphasis on reliability and scalability.Strong Python

Strong proficiency in: Scripting languages (Go, Python...) and software development best practices.

us get better — feed recurring anomalies into monitoring, alerts and SOPs; contribute small scripts (Python

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

with infrastructure-as-code tools like Terraform or CloudFormation.Proficiency in scripting languages (Python

and a genuine interest in their evolution. p Proficiency in at least one programming language (e.g., Python

Python experience with NumPy and SciPy for simulation, testing and data analysis.

designing, building, and shipping production-grade, scalable systems across the full stack (including C#, Python

collaboration with actuarial teams Proficient in data analysis, ideally with hands-on experience using R, Python

Good proficiency in Python; knowledge of SQL or Data Engineering frameworks is a plus.

Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX

Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR.

competencies Experience : A first experience in quantitative analysis internship is mandatory (Excel, Python

Strong programming skills in Python and practical experience with Rust, or a willingness to work deeply

Experience with at least one scripting or programming language such as Python, Bash, Go, Java or C.

AWS, Azure or GCP), APIs and integration patterns, data pipelines, security; hands-on with SQL and/or Python