Top Machine Learning Jobs in France

Lead development of ML and deep learning models to integrate multi‑omics data for target identification, pathway analysis, and patient stratification. Design representation‑learning and transformer‑based approaches, ensure model robustness and interpretability, scale experiments on HPC/cloud, and collaborate with biologists and discovery teams to translate findings into drug discovery workflows.

The Fullstack Developer will design user experiences, build reusable components, and develop products combining web technologies and machine learning while collaborating with product teams.

As a Machine Learning Engineer at Doctrine, you will develop NLP models and conversational agents to streamline legal information access and enhance product features.

Design and improve end-to-end ML/AI pipelines, process datasets, and contribute production code for high-quality solutions in machine learning projects.

Support building and deploying data pipelines, develop and calibrate ML/NLP/image models for fraud and claims, collaborate with clients and sales, conduct R&D, and participate across the Data Science product lifecycle.

Lead the ML team by developing long-term strategy, driving innovation, and ensuring technical excellence while collaborating across departments and scaling the team.

Lead system architecture, definition, integration, and validation for robotic systems. Coordinate multidisciplinary teams, perform trade-off analyses and system-level simulations, and ensure requirements traceability through deployment.

Lead system architecture and implementation for a robotic system from concept to field deployment. Coordinate multidisciplinary teams (mechanical, electrical, software, GNC, ML), perform trade-off analyses and simulations, oversee integration, prototyping, validation, and drive design reviews, requirements traceability, and documentation improvements to ensure robust mission performance.

Design, implement, and validate automated manufacturing and test systems. Improve OEE and reliability, integrate automation with ERP/MES, build OEE dashboards and predictive maintenance, prototype robotics solutions, standardize architectures, and train technical staff.

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

Own the end-to-end AI Scribe product: define strategy, improve clinical ASR quality, build ML evaluation and monitoring, collaborate with clinicians and engineers, and drive Germany market launch to reduce clinician documentation burden.

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.

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 role involves designing machine learning algorithms for real-time semantic scene understanding from UAV imagery, optimizing for performance and deployment in tactical environments.

The role involves designing post-training environments for machine learning agents, creating evaluation frameworks, building data pipelines, and optimizing training systems for supply chain applications.

The Senior ML Systems Engineer will build and maintain the training framework for large-scale language models, focusing on distributed training and performance optimization.

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