Top Machine Learning Jobs in France

The Trading Risk Analyst supports sales and trading, manages trade processes, analyzes P&L, and collaborates with teams on technology and operational workflows.

As a Senior Applied Scientist, you will design machine learning solutions, develop scalable features, and analyze data within the Datadog app, collaborating with engineering and product teams.

As an AI Researcher at Datadog, you'll conduct cutting-edge research in AI, focusing on foundation models and AI agents for observability and reliability, collaborating with cross-functional teams, and contributing to scientific publications.

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 Senior Generative AI Engineer will develop AI tools for testing, bug fixing, and optimizing performance, collaborating closely with users and teams to deliver effective solutions.

The Senior AI Engineer will develop AI tools to enhance developer productivity at Datadog, focusing on LLM-based systems, prompts, and integration with existing products, while collaborating with various teams and users.

As a Senior LLM Engineer, you will develop AI-assisted tools, collaborate with teams, prototype products, and improve software engineering through LLMs.

Design and develop AI-assisted tools for software development, working closely with designers, PMs, and data scientists, and iterating based on user feedback.

The Strategic Sales Executive will sell Identity Governance Administration solutions to multinational organizations, engaging with senior decision-makers and navigating lengthy sales cycles.

The Junior Sales Engineer coordinates with Account Representatives, designs technical solutions, delivers training, supports clients, and creates prototypes while ensuring successful implementations.

As a Senior Machine Learning Engineer at Doctolib, you will develop AI solutions for healthcare, focusing on information retrieval and algorithm deployment.

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.

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

Design end-to-end user experiences for cloud and infrastructure products, focusing on usability for developers and AI workflows while collaborating with engineering and product teams.

The role involves developing NLP models, maintaining them, designing conversational agents for legal drafting, and collaborating with various teams to innovate legal AI solutions.

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 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.

Seeking a Web Developer & AI Automation Apprentice to design, develop web applications, and implement AI automation solutions, while collaborating on innovative projects.

Lead the development and deployment of AI solutions in industrial settings, bridging technology exploration and practical applications. Responsible for guiding AI decisions, collaborating with teams, and driving customer-focused solutions.

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.

The role involves delivering technical solutions, integrating AI/ML models, developing software, and mentoring junior engineers while ensuring customer satisfaction through engagement and solution design.

The role involves assisting the D-STAR Product Team with daily tasks, preparing content for meetings, monitoring user adoption, coordinating with other teams, and supporting Digital Acceleration initiatives.