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 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.

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.

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.

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.

Develop and deploy scalable AI and machine learning solutions for client use cases. Responsibilities include designing machine learning models, extracting insights from complex data, deploying production systems, creating agentic and multi-agent architectures, building conversational AI applications, and integrating cloud AI services. The role also involves stakeholder collaboration, system specification, testing, issue management, and supporting enterprise GenAI delivery.

Develops scalable AI and machine learning solutions for client use cases, including model development, data analysis, production deployment, conversational AI, and multi-agent architectures. Collaborates with stakeholders on system rollouts, specifications, testing, maintenance, and issue management. Requires experience with machine learning, deep learning or NLP, cloud-based AI/ML services, and conversational AI orchestration. Travel may range from none to 100% based on business needs.

Leads strategic enterprise Cloud and AI sales opportunities from qualification through commercial commitment, execution readiness, transition, and early value realization. Builds executive relationships, shapes transformation strategies and architectures, develops value cases and Azure consumption plans, and coordinates Microsoft specialists, engineering, delivery, finance, partners, and deal teams. Advises customers on AI, cloud modernization, security, governance, reliability, FinOps, and enterprise operating models while supporting strategic Azure commitments and coaching peers.

Develop and enable VAR and reseller partners across EMEA South by providing technical presales support, architectural guidance, solution positioning, workshops, and sales-cycle expertise. Build joint offerings, cultivate technical champions, present to executive stakeholders, and collaborate with sales, marketing, product, and partner teams. The role requires expertise in data platforms, pipelines, cloud infrastructure, DevOps, CI/CD, and ideally machine learning, with up to 25% travel.

Develop and deploy machine learning models for retrieval, reranking, indexing, search relevance, crawling, and content understanding. Build large-scale embedding and retrieval systems, evaluation pipelines, and quality metrics for agent-native search. Integrate models into high-throughput production services while balancing latency, quality, and cost. Collaborate on architecture and product decisions involving search, retrieval, and LLM-based systems.

Six-month Data and AI internship contributing to machine learning, optimization, generative AI, LLM pipelines, RAG, agentic workflows, and model production practices. Responsibilities include developing algorithms, retraining and monitoring models, evaluating AI quality and robustness, documenting failures, supporting responsible AI compliance, and explaining concepts to deployment managers. The role requires Python, data science and machine learning knowledge, data management experience, analytical ability, fluent English, and a university internship agreement.

Develop computer vision and machine learning algorithms for robotics and aerospace projects. Responsibilities include researching vision methods, preparing datasets, building training pipelines, optimizing models, deploying solutions, validating performance in real-world environments, monitoring production systems, and collaborating with software and simulation teams.

Lead complex, full-cycle sales of AI, data, and cloud solutions, owning net-new opportunities and a $32M+ annual sales target. Develop value propositions, shape pursuit and commercial strategies, engage C-suite stakeholders, mobilize ecosystem partners including Palantir, AWS, and Databricks, and coordinate post-close transitions. The role requires enterprise technology sales expertise, quota ownership, pursuit management, industry experience, and travel of 25–75%.

Lead the development and delivery of electronic warfare and SIGINT systems from concept through field deployment. Responsibilities include managing a multidisciplinary EW engineering team, defining system architectures, coordinating mechanical, electrical, software, GNC, and ML teams, performing trade-off analyses and simulations, overseeing integration and validation, and maintaining requirements traceability, documentation, and testing consistency.

Lead product marketing for the French market by developing localized positioning, messaging, sales enablement, launch campaigns, and customer insights. Partner cross-functionally with product, sales, marketing, engineering, design, communications, and partnerships teams. Track adoption and market performance, identify growth opportunities, and lead product marketing strategy for a major Paris customer event. The role requires French and English fluency, B2B technology marketing experience, and travel within France and internationally.

Own the end-to-end strategy, roadmap, and outcomes for a network intelligence and security product serving ISP customers. Partner with engineering, data science, security, and compliance teams on architecture, ML evaluation, privacy, and production delivery. Conduct customer discovery, analyze market and threat trends, define requirements and metrics, build business cases, and represent the product to technical customers, executives, sales, marketing, and public audiences.

Supports P&C finance analytics by developing dashboards, data pipelines, and data-driven tools using Foundry, Databricks, SQL, Python, and Tableau. Collaborates with finance and data teams to integrate and validate data, improve analytics processes, and support IFRS 17, Solvency II, and quarterly financial reporting. Analyzes underwriting and financial trends, prepares management deliverables, documents data strategies, and responds to business needs.

Leads data analytics for Ketchapp’s mobile game portfolio, translating player and user acquisition data into actionable insights. Owns the analytics roadmap, dashboards, data quality, source requirements, and reporting automation. Manages and mentors analysts, partners with engineering and game teams, and promotes data-driven decision-making through training and best-practice sharing.

Build and maintain backend services, APIs, integrations, evaluation systems, data pipelines, and development environments for AI agents. Develop automated evaluations, analyze agent traces and failures, support model integration, and improve service reliability through testing, monitoring, logging, and safe deployments. Collaborate with software engineers, researchers, model-training teams, data specialists, and product owners while writing maintainable Python code and owning scoped components through implementation and operation.

Lead Wiremind’s product organization and company-level strategy, overseeing approximately 15 Product and Design employees. Set product direction, align software and AI/ML roadmaps, improve product processes, unblock squads, enhance UX for complex expert-facing B2B SaaS products, and coach product leaders. The role focuses heavily on revenue management, forecasting, pricing, and transport products while partnering with the CEO and executive team.

Leads innovation strategy and technology development for software-defined electric-grid automation solutions. Directs R&D and cross-functional teams, customer proof-of-concepts, technology roadmaps, utility partnerships, and rapid prototyping. Oversees innovations in grid protection, automation, control, sensing, communications, cloud, virtualization, and AI/ML. Builds strategic relationships with utilities, research institutions, and technology partners while representing the company at industry forums and mentoring technical staff.

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

Manage and develop a global team of Support Engineers while overseeing daily service delivery, escalations, ticket quality, operational metrics, and workflow improvements. This player-coach role involves coaching, performance management, onboarding, complex case investigations, cross-functional collaboration, and improving customer satisfaction, resolution times, and support efficiency. The position is based in Paris with hybrid work.

Six-month AI engineering internship developing and optimizing machine learning models, AI algorithms, and NLP/LLM applications. Responsibilities include translating architectures into production-ready code, implementing AI/ML engineering practices, version control, testing, CI/CD, LLM evaluation, prompt design, fine-tuning, MLOps, RAG architectures, semantic indexing, and vector databases. The role requires a Master’s or engineering degree in a relevant field, advanced English, elementary French, and security clearance eligibility.