Top Machine Learning Jobs in France

Advise Mirakl’s legal function on AI, emerging technology, privacy, data protection, regulatory compliance, and intellectual property. Design and deploy AI agents and automation for legal workflows, establish responsible AI policies, lead legal operations transformation, optimize matter management and vendor processes, and train legal, compliance, and business teams on AI-related legal topics.

Lead budgeting, forecasting, monthly reviews, long-range planning, financial reporting, KPI analysis, and month-end close support for Continental Europe. Provide data-driven insights and actionable recommendations to leadership, strengthen business partnerships, and improve financial performance. Drive FP&A transformation through automation, digitalization, dashboard development, and process optimization while promoting financial accountability and operational efficiency across business units.

Leads an international data science and AI team of up to eight members focused on commercial analytics and AI accelerators. Owns demand intake, prioritization, product strategy, model and data product delivery, and enterprise-scale ML/AI platform development. Partners with commercial, marketing, finance, and brand leaders to translate advanced analytics into business recommendations, revenue growth, and resource optimization. Requires executive communication, team-building, product management, and hands-on expertise in ML, LLMs, agentic workflows, cloud deployment, and pharma or healthcare analytics.

Lead product development for Datadog APM features, focusing on distributed tracing, performance analysis, and AI-driven troubleshooting. Work with engineers, designers, and customers to validate problems, deliver prototypes to production, define go-to-market, and measure adoption and impact.

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.

Lead product strategy and roadmap for AI and data security features—AI discovery, posture management, and data protection. Collaborate with engineering, design, security research, and GTM teams to define, build, and launch capabilities. Engage customers to validate solutions and drive adoption while translating security research into actionable product features.

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

Leads large-scale engineering and digital transformation programs for clients, overseeing delivery outcomes, budgets, risks, contracts, and multidisciplinary teams. Designs future-state engineering operating models, modernizes R&D and product engineering, and implements PLM, digital thread, analytics, cloud, and AI-enabled systems. Builds senior client relationships, supports sales and proposals, coaches teams, and identifies follow-on opportunities across engineering, manufacturing, and product development engagements.

Develops scalable AI and machine learning solutions, including trained-model deployment, conversational AI applications, cloud-based AI/ML orchestration, and multi-agent architectures. Collaborates with stakeholders on system rollouts, enhancements, specifications, testing, and issue management. Applies machine learning, deep learning, NLP, and advanced AI techniques to complex datasets and client workflows. Travel may range from none to 100% based on business needs.

Develop novel computational methods for oncology target and biomarker discovery using PDO multi-omics and functional data. Analyze transcriptomic and genomic datasets, apply machine learning, connect validated methods with engineering teams, and produce rigorous, reproducible data packages supporting research and investment decisions. Collaborate with biologists, clinicians, engineers, and pharmaceutical stakeholders in an autonomous, research-focused role.

Develop and implement machine learning and deep learning algorithms to analyze MRI data, collaborate with neuroscientists and clinicians to define model requirements, evaluate and optimize models for clinical applications, and write reports and scientific publications.

Support quantitative researchers with data studies, idea generation, and alpha construction for systematic financial strategies. Interns will use a sophisticated research platform and large datasets across global asset classes, collaborate with international teams, and develop quantitative research and programming skills. The six-month program begins in May 2027.

Supports enterprise software sales by presenting Aera’s Decision Intelligence platform, conducting tailored demos, leading proofs of concept and value, facilitating workshops, developing ROI analyses and business cases, responding to proposals and RFx requests, and defining deployment roadmaps. Partners with sales, product management, marketing, delivery, and customer success teams while engaging technical and executive stakeholders. The role requires supply chain expertise, consultative communication, and approximately 25% travel.

Own product development for Paper.io 2, focusing on free-to-play progression, monetization, live events, in-game economies, and AI-powered player experiences. Define specifications, timelines, and priorities while collaborating with developers, artists, and analysts. Use player data, retention metrics, and A/B testing to optimize features after launch. Monitor competitors and industry trends, make strategic trade-offs, and deliver high-quality improvements under tight deadlines.

Lead complex AI and machine learning programs from proof of concept through deployment across global industrial teams. Manage integrated plans, milestones, dependencies, risks, issues, priorities, RAID tracking, governance, and executive reporting. Serve as Global Scrum Master, facilitate Agile ceremonies, coordinate technical and business stakeholders, and drive adoption and measurable business value. Apply Lean principles and ensure alignment with NPI / Stage-Gate requirements, quality, safety, operational continuity, and digital transformation objectives.

Own the full sales cycle for technically complex B2B deals involving APIs, on-premises deployments, and custom licensing. Manage multi-stakeholder negotiations, build strategic customer relationships, drive retention and expansion, and develop sales processes in an early-stage environment. Collaborate with engineering, research, product, solutions engineering, and legal teams while translating customer needs into product feedback.

Lead end-to-end machine learning, generative AI, agentic AI, and LLM initiatives from problem framing through deployment and continuous improvement. Define Accor’s AI architecture, establish practices for prompt engineering, evaluation, MLOps, and documentation, and collaborate with Data, Platform, and Product teams to industrialize reliable solutions. Mentor engineering and data communities, monitor emerging technologies, and lead proof-of-concept evaluations of new models, tools, and frameworks.

Own end-to-end talent acquisition and headhunting for Arago’s technical hiring across France, North America, and Israel. Partner with the CEO, CTOs, and engineering leaders to define roles, source and close senior engineers, scientists, and technical leaders across hardware, optical, software, and research. Build proactive sourcing pipelines, improve interview processes and hiring standards, monitor pipeline health and hiring velocity, and communicate progress to leadership.

Solve business and logistics problems using data analysis, algorithms, and machine learning models. Build reliable datasets, pipelines, tooling, experimentation platforms, and near-real-time operational dashboards. Collaborate with product, engineering, operations, designers, merchants, and other stakeholders across the full problem-solving lifecycle. Help optimize delivery ETAs, warehouse operations, carrier routes, and experimentation. As an early data team member, contribute to hiring, mentoring, and shaping Bigblue’s data practice.

Partner with universities, research labs, and faculty to drive adoption of NVIDIA accelerated computing and AI technologies. Integrate NVIDIA frameworks, libraries, GPUs, CPUs, networking, and software into scientific workloads at supercomputing scale. Lead research collaborations, trainings, workshops, lectures, and demonstrations; mentor researchers; track emerging trends; develop prototypes; and provide feedback to NVIDIA Engineering. Support publications, conference presentations, and technical content while serving as a trusted technical advisor.

Develop Python tools for quantitative trading research, improve simulation and backtesting frameworks, collaborate with quantitative researchers to enhance trading strategies, and support EMEA-focused research. The intern will work with distributed global teams and gain exposure to large-scale systems, workflow orchestration, and production-grade software engineering practices.

Supports responsible enterprise AI adoption by monitoring market trends, evaluating AI solutions, assisting onboarding and rollout, and developing training, coaching, guidance, and communications. Provides user support on prompting and agentic AI, identifies adoption barriers, translates technical developments into business language, and promotes compliant, productive AI use across workforce teams.

Conduct advanced research in artificial intelligence and machine learning, including deep learning, graphical models, reinforcement learning, computer perception, natural language processing, and data representation. Define complex business problems, design and deliver modeling solutions, evaluate model performance, establish scientific and engineering specifications, and build analytical roadmaps. Assess production implementation requirements, improve data capture methods, apply statistical and mathematical techniques, and resolve root causes and process bottlenecks.

Lead enzyme screening and biocatalytic process development for small-molecule APIs. Apply reaction engineering, kinetic modeling, DoE, machine learning, and robotics to optimize and scale processes, transfer to pilot scale, document results, and drive digital transformation across international multidisciplinary teams.