Top Machine Learning Jobs in France

The role involves conducting R&D in machine learning, particularly in model training and architecture development. Candidates should have a background in deep learning and experience in hands-on experiments with foundational models.

As a Machine Learning Engineer intern at QRT, you will design evaluation pipelines for LLMs, integrate models, and optimize workflows.

As an AI/ML Engineer, develop and optimize models for mobile apps, collaborate with teams, and implement AI techniques to enhance user experience.

Join Quandela's research team to enhance machine learning for calibrating photonic circuits, optimize computational methods, and collaborate on experimental work.

The Senior Machine Learning Engineer will design and implement ML pipelines, optimize LLM performance, and collaborate on AI infrastructure for cost-efficient solutions.

The role involves developing and maintaining ML models for robotics, enhancing the core library, managing community interactions, and ensuring high performance benchmarks.

The role involves open-sourcing models and maintaining libraries, optimizing performance, and collaborating with the open-source community. Requires expertise in machine learning and strong programming skills.

As a Senior Machine Learning Engineer at Sonos, you will develop and optimize AI models for voice control systems, ensuring efficient performance across various hardware.

As a Python Developer in the AI & ML team at IDnow, you will design and maintain micro-services for AI-based fraud detection, optimize algorithms, ensure code quality, and collaborate with product owners to meet customer needs.

You will optimize ML infrastructure, automate ML pipelines, manage versioning, and collaborate with engineers to ensure model scalability and reliability.

Design, develop, and deploy machine learning models for 3D asset generation in avatar creation. Collaborate with engineering and creative teams to integrate advanced AI/ML solutions.

Join the DataLab team to develop operational AI and machine learning solutions, involving data extraction, modeling, and deployment. Collaborate on innovative projects and contribute to knowledge sharing.

The Senior Data Scientist will investigate and incubate AI solutions, collaborate on product capabilities, and design scalable data infrastructure.

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

Design and develop machine learning models for speech recognition at Sonos, focusing on audio-based components and collaborating with teams for performance optimization and mentoring.

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

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

As a Research Engineer in ML, you'll optimize large-scale ML systems, collaborate with Research Scientists, enhance models, and implement algorithms in Python.

As a Cloud Machine Learning Evangelist, you will educate the ML community, publish technical content, and drive visibility of integrations with strategic partners.

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

The Senior ML Infrastructure / DevOps Engineer will design, operate, and scale infrastructure for machine learning workloads, automating provisioning and building robust ML pipelines while collaborating with ML teams for production readiness.

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.

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.