Top Machine Learning Jobs in France

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

Design and develop AI-driven features to enhance customer experience, execute ML projects, and optimize AI performance while collaborating cross-functionally.

Lead and scale first-line Financial Crime teams (transaction monitoring, fraud, regulatory ops). Build quality and control frameworks, define KPIs, manage day-to-day alert review and SAR processes, drive analytics and automation with Product/Engineering, and deliver regulatory reporting and audit support. Hire, coach, and optimize team performance to improve detection, reduce false positives, and operational efficiency.

The Head of Education & Community at Siena is responsible for developing product education, onboarding programs, community events, and market education resources. This role involves creating curricula, conducting workshops, and supporting sales with training and demos while leveraging AI for teaching efficiency.

Lead AI and machine learning architecture, mentor teams, drive innovation, and evaluate tools for AI systems development across global teams.

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.

This role involves partnering with the research team on code models, managing operations, ensuring research visibility, and facilitating communication with leadership.

Design, build, and maintain data lakes, pipelines, and ML services to process large datasets. Integrate multiple data sources, enable analytics, and support production ML deployments while collaborating across teams.

The Sales Account Manager will drive revenues from new accounts, develop partnerships, manage forecasting, and collaborate with teams to close deals.

The role involves designing and developing model evaluation pipelines, user studies for subjective evaluations, and automated dashboards to report results, alongside leading the evaluation team and communicating with other teams to improve model performance.

The role involves performing data-related tasks supporting AI content improvement in French, including data collection, evaluation, annotation, and object tagging.

Own GDPR and privacy operations (DSRs, ROPA, DPAs, DPIAs). Embed privacy into product with ML/tech teams. Lead day-to-day commercial contracting and support broad legal needs across trademark, corporate, labour, and compliance. Opportunity to grow into DPO.

The role leads the transformation of reporting and analytics for consumer product quality, focusing on complaint data analysis and driving quality improvements globally.

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

Lead product vision and delivery for complex technical platforms (ML, data, middleware). Translate user and executive needs into actionable roadmaps, collaborate with engineering, incorporate customer feedback, and apply hands-on technical understanding to drive data-driven product decisions.

The Solutions Architect will drive NVIDIA technology adoption in the Media and Entertainment sector, focusing on AI platforms, solution architecture, and customer engagement for video analytics, content generation, and scalable solutions.

The Senior Technical Solutions Engineer will manage complex technical escalations, perform root cause analyses, lead incident responses, and develop tools and metrics to enhance support efficiency.

As a Machine Learning Engineer, you will design and optimize models for tactical robots, leveraging self-supervised learning from EO and IR data.

The Quantitative Researcher will conduct alpha research, develop predictive models using various datasets, and enhance Python-based software tools.

As a Growth Manager, you'll optimize user acquisition across multiple apps using innovative strategies while collaborating with various teams to boost efficiency and adapt to industry trends.

You will analyze creative performance, automate workflows, scale production, partner with User Acquisition teams, and improve creative processes.

As a Senior Data Scientist at Back Market, you will design and implement machine learning models to optimize pricing strategies, collaborate with engineers, and communicate findings to stakeholders.

Lead regional marketing strategy and execution to build brand awareness, generate enterprise pipeline, and drive customer adoption. Own positioning, demand generation, events, content, ABM, and cross-functional collaboration with Sales, Product, Partnerships, and Global Marketing to convert market opportunities into measurable business outcomes.

Lead and expand a cornerstone financial-institution account through strategic relationship management, tailored enterprise solution design, complex deal structuring, client advocacy, and executing business plans to drive revenue growth and long-term profitability.

Lead product vision and discovery for a genomics-driven diagnostic and personalization platform. Validate hypotheses with patients, clinicians, and partners; translate research into product specs; coordinate labs and data providers; partner with engineers and researchers to build AI prototypes; shape data, regulatory, and GTM strategy while making core product and architectural decisions.