Top Machine Learning Jobs in France

Design and implement infrastructure for ML/deep learning models, ensuring scalability, reproducibility, and performance across the drug discovery lifecycle.

Lead the team delivering ASR technology for healthcare applications, focusing on model design, integration, and operational excellence while mentoring experts in an agile environment.

As a Senior Software Engineer, you'll create advanced AI systems to improve developer productivity, integrate existing tools, and mentor junior engineers.

As a Machine Learning Research Intern, you will develop ML models to tackle healthcare challenges, collaborate with engineers, and explore data processing techniques. The role emphasizes ethical AI solutions to improve patient access and healthcare efficiency.

As a Machine Learning Engineer, you'll develop and optimize ML models for monetization, collaborate on data-driven projects, and improve user experience.

Develop machine learning algorithms for personalized user experiences in music recommendations, collaborating with teams to enhance the recommendation engine.

The Robotics ML Engineer will build AI-first robotics projects and data pipelines, create educational content, and interact with customers to improve projects at Rerun.

The role involves conducting R&D in machine learning, particularly in model training and architecture development. Candidates should have a background in deep learning and experience in hands-on experiments with foundational models.

As a Senior Machine Learning Engineer, you'll design, implement, and scale evaluation frameworks for AI systems, collaborate with cross-functional teams, and contribute to research methodologies. Responsibilities include metrics definition, automated pipeline maintenance, and running experiments to ensure model quality.

The Senior MLOps Engineer will manage MLOps infrastructure, support AI/ML workloads, and ensure compliance with security standards while collaborating with clients.

The role involves open-sourcing models and maintaining libraries, optimizing performance, and collaborating with the open-source community. Requires expertise in machine learning and strong programming skills.

The Machine Learning Platform Engineer will manage cloud infrastructure, support AI researchers, and deploy models in production, focusing on MLOps and CI/CD practices.

You will optimize ML infrastructure, automate ML pipelines, manage versioning, and collaborate with engineers to ensure model scalability and reliability.

Lead a team developing AI solutions focusing on computer vision and generative AI, integrating ML into production workflows, and ensuring ethical practices.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

The intern will assist the applied machine learning engineering team in developing recommender systems, training models, and enhancing the core recommendation platform.

Design and maintain ML code for LLM safety, implement techniques for robust evaluation, and collaborate with product and engineering teams.

The role involves owning an LLM safety domain, generating synthetic data, training LLMs, conducting benchmarking, and developing techniques for safer models. Co-author research papers with the team.

As an Applied AI Intern, you will support the deployment of AI applications, collaborate with teams on customer projects, and enhance product capabilities based on user feedback.

As a Senior Test Engineer, you'll lead the redesign of testing infrastructure for Hugging Face's Transformers team, ensuring it scales with growing demands. You will also establish best practices and collaborate with cross-functional teams to embed testing in project development.

As a Software Engineer on the Applied ML team, you will design and implement solutions for customers, utilizing AI and ML technologies throughout the product lifecycle.

The Applied AI Engineer will onboard clients on Mistral AI products, manage complex integrations, and drive technological transformations through collaboration with stakeholders.

The Senior ML Engineer will enhance fine-tuning methodologies, research inference optimization techniques, and re-implement LLM architectures focusing on distributed training and efficiency.

As a Research Engineer in ML, you'll optimize large-scale ML systems, collaborate with Research Scientists, enhance models, and implement algorithms in Python.