Top Machine Learning Jobs in France

Join as a data scientist apprentice to design predictive models, analyze datasets, and contribute to data-informed solutions across the organization.

As an AI Benchmark & Datasets Engineer Intern, you'll identify and curate benchmarks, evaluate clarity and data quality, run validations, and maintain documentation for model evaluation.

Design and execute benchmarks, curate datasets, evaluate benchmarks, and build evaluation infrastructure for AI model assessment while collaborating with R&D.

As a Customer Success Manager at Mistral AI, you will manage enterprise customer portfolios, driving adoption and satisfaction of AI solutions, and serving as a key contact to ensure client success.

As a PhD Investment & Strategy Associate, you'll conduct research and financial analysis focused on AI-driven technology companies, providing insights for investments while collaborating with a talented team to support strategic decision-making.

Develop and maintain NLP models for legal documents, design conversational agents, collaborate on product development, and contribute to internal best practices.

As a Senior Fullstack Engineer, you will develop a legal intelligence platform, focusing on user experience, reusable components, and ML integration while collaborating closely with product teams.

Lead global adoption and optimization of the Matrix MMM tool, advise markets on A&P decisions, drive media planning/buying improvements, prioritize product features, enable local performance experts, and consolidate global media planning best practices to improve ROI.

Lead end-to-end development and architecture of industrial-grade AI/ML software products, collaborate cross-functionally, integrate ML capabilities, provide technical leadership, mentor staff, and support product strategy, governance, and external representation.

The role involves reinventing voice recognition technologies for real-world conversations, focusing on real-time speech processing techniques.

Develop and manage systematic trading strategies, optimize quantitative portfolios, and collaborate with quant traders and the investment committee.

As a Quantum Experimentalist, you'll optimize cat-qubit processors, integrate ML into design, collaborate with theorists, implement measurements, and enhance experimental setups.

Support training and benchmarking of LLMs, prepare and evaluate training datasets, and assist the core research team at Pathway.

Join the Multimedia System Standards team to participate in international multimedia standards development, focusing on advanced video processing and storage technologies.

Lead AI strategy for quantum systems, design and apply AI/algorithmic methods for qubit calibration, control, and error correction, partner with data engineering to build pipelines, define data requirements, and integrate AI solutions into production workflows while guiding and prioritizing team efforts.

Own end-to-end AI deployments and customer POCs for fresh store-level applications. Work directly with retailers and Sales to scope, design, validate, and deploy production ML solutions (forecasting, optimization) on cloud platforms, manage pilots, and ensure measurable ROI.

The Compute Legal Counsel will draft, negotiate contracts, advise on compliance, and support the Compute business with legal expertise.

As M&A Tech Specialist, you will identify and evaluate AI acquisition opportunities, conduct technical due diligence, and collaborate with teams to enhance Mistral's capabilities and market presence.

The R&D Data Science Group Leader manages teams in data science and prototyping, overseeing projects, strategy, and collaboration to drive innovation and deliver actionable insights.

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.

As a Senior Machine Learning Engineer, you will design and refine deep learning models for medical applications, lead projects, and collaborate cross-functionally to integrate research into scalable product features.

You will develop and implement AI and ML solutions, solve complex problems, collaborate with teams, and deploy scalable solutions in production.

The role involves implementing MLOps processes, developing scalable pipelines, and enhancing CI/CD for machine learning models while participating in software development practices.

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.

Lead and develop the AI/ML Engineering team for Terabase's software product. Oversee AI/ML initiatives, collaboration across teams, and ensure product quality.