Top Machine Learning Jobs in Lyon

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

The AI Lead Product Manager will define and own the product strategy for AI-powered health data, lead product teams, engage with stakeholders, and ensure compliance with regulations.

The Senior Biostatistician will oversee statistical deliverables for clinical studies, perform statistical analysis, and collaborate on trial designs while leveraging AI and Machine Learning innovations.

The Principal Biostatistician will oversee statistical deliverables for clinical studies, ensuring compliance and accuracy in statistical analysis while leveraging AI and managing external partners.

The Translational Project Lead Biostatistician will oversee statistical deliverables for vaccine projects, ensuring compliance, developing analysis plans, and collaborating on biomarker research.

As a Translational Principal Biostatistician, you will lead statistical aspects of translational experiments, prepare analysis plans, conduct research on biomarker analyses, and develop automated statistical tools while collaborating with cross-functional teams.

Lead global R&D in AI integrations, defining strategy, managing budgets, fostering innovation, ensuring compliance, and delivering AI-driven solutions.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

The AI Solutions Engineer translates business needs into AI technical solutions, develops prototypes using Python and Low-Code/No-Code platforms, and supports business teams.

Lead cross-functional teams of machine learning engineers and data scientists, driving technical direction and fostering a collaborative environment to develop high-quality ML-driven capabilities.

The internship involves deploying data processing pipelines, collaborating with clients, conducting R&D in AI and data science, and supporting sales efforts.

The Solutions Engineer will support customer agencies with the implementation of Cellebrite's digital intelligence platform, focusing on solution design, customer needs analysis, and risk identification while collaborating across teams.

As an Apprentice Applied R&D Engineer, you will assist in developing data architectures, implementing AI solutions, deploying cloud computing, and collaborating with cross-functional teams while gaining leadership and project management skills.

The Sales Manager will expand Neara's presence in France, manage the full sales cycle, build relationships with utilities, and drive adoption of digital twin technology.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

The Developer Relations Manager will lead technical engagements across France and Southern Europe, focusing on AI and GPU adoption, establishing relationships with developers and startups, and driving industry leadership.

Train and evaluate AI models for computer vision tasks, assess model accuracy, create training data annotations, and suggest improvements for visual data interpretation.

Design and build simulation environments for robotics research, implement RL algorithms, and evaluate policies for stability and transfer potential. Collaborate with teams and document results.

The Senior Machine Learning Engineer will design, build, deploy AI solutions, collaborating with cross-functional teams and ensuring maintainability and scalability of ML systems.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

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.

Lead the Applied AI Team in developing and deploying ML systems for clinical care, mentoring engineers, and driving initiatives across the AI stack.

Own and drive ML solutions for clinical care at scale, including LLM fine-tuning and production deployment, collaborating across teams.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The Head of Machine Learning will manage 9 ML engineers, coordinate projects, contribute to system architecture, and promote team growth. Responsibilities include strategic leadership, project management, and technical mentorship to align ML initiatives with business goals.