Top Machine Learning Jobs in Lyon

The Senior Quality Operations Engineer will manage quality systems, ensure compliance with regulations, oversee audits, and optimize workflows in medical technology.

As a Data Science Graduate Student Intern, you will research solutions to scientific problems, collaborate with academia, and deploy findings in production with engineers.

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

Lead the development of machine learning infrastructure for cybersecurity, driving production ML systems from experimentation to deployment, while mentoring junior engineers.

Research and implement physics-informed AI algorithms and workflows, supervise teams, publish research, and collaborate for Autodesk's design and engineering tools.

Responsible for developing AI/ML solutions in cloud-based environments, optimizing pipelines, integrating ML models, and mentoring junior staff.

The role involves owning the full ML lifecycle, applying classical ML thinking, monitoring models, collaborating with teams, and ensuring business outcomes.

The Senior Machine Learning Scientist will own the full ML lifecycle, develop production-grade ML algorithms, and collaborate closely with cross-functional teams to drive business outcomes.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

Design and deploy LLM applications for payroll, lead architecture decisions, and collaborate with teams. Requires AI/ML experience.

Research and develop AI/ML models for handwriting recognition and related technologies, collaborating with a multidisciplinary team to deliver innovative features.

The ML Engineer will enhance NLP projects by fine-tuning LLMs, implementing models, conducting experiments, and staying updated on advancements in NLP.

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 enhance data processing pipelines, improve search capabilities, and optimize AI models, while conducting experiments and literature reviews, ultimately deploying your research to benefit users.

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.

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.