Top Machine Learning Jobs in France

The ML Engineer will develop AI-based interactions for voice control, focusing on machine learning lifecycle tasks including data generation and model training while collaborating with other teams.

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

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

Develop and implement AI solutions to support healthcare professionals, focusing on improving AI models for medical assistance and data structuring.

As a Machine Learning Research Intern, you will enhance data processing pipelines, improve search capabilities, and optimize AI models, while conducting experiments and literature reviews, ultimately deploying your research to benefit users.

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

Integrate and implement standard machine learning models into production systems, optimizing for efficiency and monitoring performance, while ensuring seamless data flow and documentation.

The role involves building and iterating machine learning models, collaborating with stakeholders to address Trust & Safety issues, deploying models in production, and improving team performance through knowledge sharing and documentation.

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 deploying and maintaining machine learning pipelines, developing retrieval-augmented generation systems, and optimizing model performance, requiring extensive experience in ML Ops and software engineering.

As a Senior Cloud Architect, you will architect, deploy and manage AI/ML cloud solutions while mentoring team members and optimizing workflows.

As a Senior Cloud Architect, you will architect, deploy, and manage cloud-based AI/ML solutions, leveraging AWS technologies and providing consultative support to clients.

The Senior Cloud Architect will leverage cloud technologies to address customer needs, focusing on AI/ML solutions while mentoring team members and enhancing personal brand through thought leadership.

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

As a Machine Learning Engineer, you'll design and deploy ML models, optimize performance, and maintain code quality. You'll also work on GenAI solutions for user inquiries and improve ML practices with team collaboration.

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

Lead the AI/ML team to develop innovative solutions for environmental challenges, emphasizing strategic guidance, collaboration, and team empowerment.

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.

The internship focuses on enhancing quantitative and programming skills with training in areas like machine learning, statistics, and developing predictive models for trading.