Top Machine Learning Jobs in France

Design and deploy AI agents and automation for legal workflows, advise on AI tool procurement and responsible use, and lead legal operations transformation. Optimize matter management, vendor oversight, budgeting, CLM systems, and performance reporting while partnering cross-functionally. Provide legal guidance on technology, privacy, data protection, regulatory compliance, and intellectual property, and train legal, compliance, and business teams on AI-related topics.

Lead end-to-end Celonis implementations for strategic customers, managing scope, timelines, resources, quality, governance, risks, and value realization. Support pre-sales proposals, manage executive and operational client relationships, coordinate cross-functional and distributed teams, promote AI-enabled delivery, mentor Services team members, and improve implementation methods. The role requires strong project leadership, communication, analytical problem-solving, and experience delivering complex business and technical projects in consulting or professional services.

Develop agentic workflows and reliable automation for real-time audio machine learning research. Responsibilities include orchestrating data preparation, model training, hyperparameter searches, benchmarking, regression testing, experiment tracking, artifact management, GPU scheduling, and result reporting. The role connects LLM agents with research tools, datasets, repositories, evaluation systems, and compute resources while partnering with audio researchers to build reproducible workflows and observable systems.

Develop and deploy AI, LLM, and generative AI agent tools for credit trading workflows. Apply machine learning to trading signals, portfolio optimization, risk monitoring, hedging, and automated reporting. Build trade-support infrastructure, analyze credit portfolio data, collaborate with model control teams, and advance automation across credit portfolio lending markets.

Six-month Operations internship supporting analysis, diagnostics, hypothesis-driven recommendations, and deliverable preparation across Engineering, Procurement, Manufacturing, Supply Chain and Digital Operations. Perform data analysis, develop recommendations, manage simple workstreams, interact with clients internationally, and build domain expertise. Potential conversion to a permanent role.

Six-month research internship developing a machine-learning framework to analyze spatial drivers of atmospheric ammonia concentrations in north-west Europe. Responsibilities include literature review, exploratory analysis of ground-level and satellite NH3 data, meteorological and environmental datasets, feature selection, model optimization, visualization, spatial mapping, and interpretation for policy implications. The role is conducted within an atmospheric observations research team and requires collaboration in English.

Designs and delivers scalable generative and agentic AI solutions for public-sector organizations. The role translates mission requirements into architectures, builds Python and PyTorch prototypes, deploys containerized AI applications with Kubernetes, and guides model adaptation and GPU-accelerated inference toward production. Responsibilities include technical workshops, customer demonstrations, architecture documentation, partner collaboration, troubleshooting deployment issues, and feeding customer requirements to NVIDIA engineering and product teams.

Leads ESD protection strategy, architecture, design, validation, and sign-off for analog, mixed-signal, high-voltage, automotive, and industrial semiconductor products. Defines methodologies and roadmaps, investigates failures, collaborates across technology, package, validation, and systems teams, and develops simulation and AI-assisted design methods. Provides technical leadership, mentors engineers, supports customer escalations, and drives innovation through patents, publications, and research partnerships.

Owns end-to-end Workday Financials architecture for large, multinational transformations. Defines design standards, governs financial modules and reporting, translates complex requirements into scalable solutions, ensures compliance and controls, leads multidisciplinary teams, drives optimization, and supports pre-sales. Requires extensive Workday Financials implementation and finance transformation expertise, strong communication, client engagement, and the ability to manage distributed teams and travel as needed.

Own the vision, strategy, roadmap, and delivery for Microblink’s Platform and Know Your Agent products. Lead and develop product managers, partner with engineering, design, sales, marketing, and customer success, and manage product metrics. Serve as the VP of Product’s second in command by running planning, prioritization, roadmap reviews, cross-functional alignment, product operations, escalations, and leadership communications.

Develop data-driven insights, predictive models, optimization solutions, and simulation-based decision-support tools for semiconductor manufacturing. Analyze manufacturing and operational datasets, apply statistical and machine-learning techniques, design experiments, and improve planning, scheduling, resource utilization, and factory performance. Collaborate with customers, domain experts, and engineering teams, communicate findings to technical and non-technical audiences, and contribute to manufacturing intelligence research and innovation.

Lead end-to-end architecture, implementation, and delivery of Blue Yonder Warehouse Management and related execution solutions. Serve as the primary client contact, manage timelines, budgets, risks, and deliverables, and lead solution teams and integrations. Provide functional and technical guidance, mentor junior staff, align solutions with business objectives, and collaborate with project managers, delivery partners, and stakeholders to deliver successful client outcomes.

Support the Strategy & Operations team and founders with strategic planning, process improvement, roadmap management, competitive intelligence, fundraising, project management, and operational initiatives. Build and maintain sales pipelines, CRM processes, KPI dashboards, and revenue forecasts. The role spans healthcare, AI, tooling, cybersecurity, regulatory environments, and startup operations.

Lead the research direction of a new Physical AI laboratory, assess the state of the art, define research roadmaps, conduct hands-on experiments, develop models and robotic learning systems, publish at leading venues, build external collaborations, and mentor junior researchers. Work may span world models, reinforcement learning, robot learning and control, large-model training, simulation, and self-supervised learning from video and 3D data.

Leads end-to-end delivery of custom AI agent deployments for enterprise customers in regulated industries. Responsibilities include technical discovery, solution scoping, architecture discussions, engineering execution, stakeholder and executive management, ROI measurement, risk and change management, and production launch. The role also develops reusable technical playbooks and delivery processes while traveling to customer sites 25–50% of the time.

Lead and design scalable backend systems, set technical vision, drive large cross-team projects, raise engineering standards, mentor engineers, and influence company-wide architecture and processes to support product growth and AI initiatives.

Leads the end-to-end deployment of active control functions and artificial intelligence on an Airbus demonstrator aircraft. Responsibilities include defining system architecture and requirements, managing aircraft-level trade-offs, deploying AI for load alleviation and performance optimization, coordinating engineering and data science teams, managing strategic partnerships, and communicating flight-test results and AI strategy to executives. The role requires aerospace or controls expertise, applied machine learning knowledge, systems architecture experience, and cross-functional leadership.

Manage concurrent technical projects delivering custom quantum computing solutions for industrial clients. Responsibilities include coordinating milestones, customer communication, contractual deliverables, budgets, resources, billing notifications, reporting, business development support, and project management methodology. The role partners with quantum scientists and developers and requires technical project management experience in IT, industrial research, or R&D, plus fluency in English and French.

Advise city governments across the Americas on designing, prototyping, and launching digital services. Guide system and data architecture, DevOps, infrastructure, AI and machine learning decisions, rapid prototyping, and end-to-end product delivery. Work hands-on with multidisciplinary teams while coaching clients and influencing technical decisions without direct authority. The role requires senior technical leadership, strong communication, and professional English plus Spanish and/or Portuguese.

Develop quantitative models and macroeconomic and financial scenarios for budgeting, risk management, and regulatory stress testing. Build forecasting, econometric, machine-learning, uncertainty-quantification, and scenario-analysis solutions using large datasets and AWS cloud infrastructure. Collaborate with Finance, Risk, and business stakeholders to translate requirements into decision-ready analysis, while supporting model validation, governance, regulatory documentation, deployment, and monitoring.

Internship supporting equity research through financial and economic data analysis, predictive modeling, machine learning, and AI tools. Responsibilities include developing macroeconomic indicators, analyzing industry trends and market news, presenting research findings, expanding a Big Data product, and maintaining large-scale databases. The role requires Python and SQL proficiency, strong analytical ability, independence, initiative, and French and English communication skills.

Develop computational software and physics-based models for feature-scale semiconductor process simulation, including plasma etch, deposition, particle transport, surface chemistry, geometry evolution, and multiphysics phenomena. Optimize simulations for CPUs and GPUs, validate models against experimental data, collaborate with physicists and process engineers, and contribute to architecture, testing, publications, patents, and emerging machine-learning-driven digital twin technologies.

Own AI-powered product capabilities from discovery through launch and adoption. Translate customer and business needs into requirements, prioritize backlogs, write user stories, define acceptance criteria, and collaborate with Engineering, Data Science, UX, and business teams. Support customer discovery, experimentation, testing, demonstrations, and continuous improvement while tracking product success metrics and promoting transparency, privacy, reliability, fairness, security, explainability, and customer trust.

Lead product strategy and roadmap development for AI-powered financial crime compliance capabilities, including agentic AI tools for alert investigation and resolution. Conduct customer discovery, prioritize use cases, define requirements and KPIs, and partner with Engineering and technical teams on delivery. Coordinate integration across product teams, manage senior stakeholders, support go-to-market activities, and promote responsible AI practices involving transparency, privacy, security, reliability, and customer trust.

Conduct product-focused research on machine learning for wearable-device time-series data. Design experiments, build signal-processing and ML pipelines, and develop cognitive and physiological decoding models from multimodal biological signals. Collaborate with hardware, software, and research teams on data capture, model evaluation, and demos, while translating findings into recommendations for leadership. The role requires strong biosignal processing, Python, wearable biometrics, and applied research or engineering experience.