ML / AI Jobs in France
There are 120 open ML / AI jobs in France on freehire right now. 7 of them were posted recently. The skills employers ask for most often are machine-learning, python and ai.
Most requested skills
- machine-learning 94%
- python 78%
- ai 76%
- pytorch 52%
- llm 42%
- mlops 42%
- deep-learning 39%
- cloud 35%
How the work is done
- Hybrid 31 · 26%
- Remote 17 · 14%
- Onsite 13 · 11%
Visa sponsorship offered in 85% of the 27 postings that state a position on it.
Seniority
- Senior 26
- Principal 8
- Staff 7
- Intern 5
- Junior 4
- Lead 4
Who is hiring
- 501-1000 employees 24
- 1000+ employees 14
- 51-200 employees 5
- 11-50 employees 3
- 201-500 employees 3
Applied Artificial Intelligence Machine Learning Engineer (Internship)
Build and deploy generative AI applications with customers, collaborating with researchers and engineers to solve complex technical challenges using Python, PyTorch, and MLOps.
Applied AI Engineer, Machine Learning Infrastructure / DevOps
Build and deploy AI systems for enterprise customers, handling ML infrastructure, DevOps, and end-to-end AI application deployment from GPU stacks to front-end interfaces.
Applied Artificial Intelligence Forward Deployed Machine Learning Engineer
Build and deploy enterprise-grade GenAI solutions with clients in finance, healthcare, and defense, fine-tuning LLMs and integrating them into production systems.
Junior / Intermediate Machine Learning Engineer - Squad Distribute
Build and deploy NLP models and GenAI features for a legal AI platform, maintaining production systems and collaborating with cross-functional teams.
Edge AI ML Engineer — Data Pipelines & Cross‑Platform Models
Build and maintain data pipelines and cross-platform ML models using TensorFlow and PyTorch to process public and customer data for AI training and backend integration.
Real-Time Data & ML Engineer — Hybrid/Remote
Design and build robust data pipelines and modern architectures using Python and SQL to handle high-volume data processing for machine learning systems.
ML Engineer — Scale ML & Data Pipelines
Build, scale, and maintain ML models and data pipelines for a growing AI product team in Paris.
Senior ML Engineer - Synthetic Data & Pipelines (Remote)
Build and optimize synthetic-data pipelines for large language models, collaborating with ML teams to ensure high-quality training data.
Senior ML Engineer: Data Pipelines & MLOps
Senior ML Engineer builds and maintains data pipelines and ML models in production for a French insurer, owning the full MVP lifecycle from ideation to deployment.
AI/ML Data Pipeline DevOps Engineer
Build and maintain scalable data pipelines and cloud infrastructure for AI/ML workloads using Kubernetes, Docker, and monitoring tools.
Applied Artificial Intelligence/Machine Learning Engineer
Build AI assistants that let users create and manipulate 3D scenes via natural language, integrating LLMs, NLP pipelines, and knowledge graphs for creative workflows.
Machine Learning Operations Engineer
Build and maintain automated ML training, evaluation, and CI pipelines for an AI-driven defense autonomy stack, enabling reproducible model development and deployment.
Senior Machine Learning Engineer - Identity & Audience
Senior ML engineer at a streaming TV ad platform, building identity-resolution systems that power real-time ad targeting and measurement across 120M+ households using large-scale data pipelines and clustering algorithms.
Machine Learning Engineer, Supply Chain
Build and deploy ML models to forecast demand and optimize product assortment in Decathlon’s supply chain using Python, TensorFlow/PyTorch, and MLOps tooling.
Machine Learning Platform Engineer
Build and own production-grade infrastructure for real-time ML systems, feature serving, and decisioning at a fast-growing European fintech.
Senior Machine Learning Engineer (AI Research/Portability)
Build and evaluate AI agent architectures that work across models, providers, and environments, focusing on portability, interoperability, and reliability.
Machine Learning Engineer - PRISM - Supply Chain (f/m/d)
Build and deploy AI models for supply-chain demand forecasting using Python, TensorFlow/PyTorch, and MLOps tooling to optimize Decathlon’s inventory and assortment planning.