Top Machine Learning Jobs in France

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

Applied AI Interns will research and benchmark AI models, develop scalable generative AI and machine learning features, and deploy, monitor, and maintain production AI systems. They will analyze large-scale observability data, investigate emerging model architectures, present research, and collaborate with engineering and product teams to deliver customer-facing capabilities.

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.

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.

Conduct computational analyses of genomic, transcriptomic, proteomic, and other biomedical datasets to identify drug targets, biomarkers, and disease subtypes. Apply machine learning, deep learning, and omics methods; integrate multi-omics data; review literature; interpret results; design validation strategies; and develop visualizations and reports. Collaborate with AI, biology, chemistry, imaging, and medical experts while contributing to agentic AI systems and internal research methodologies.

Leads AI- and data-driven manufacturing transformation strategies for Life Sciences clients. Advises C-suite and operations leaders, develops AI strategies, business cases, roadmaps, operating models, and responsible AI plans, and oversees large-scale greenfield and brownfield manufacturing programs. Drives digital twin, automation, data platform, advanced analytics, generative AI, and AI/ML deployments from proof of concept through enterprise scale. Builds executive relationships, originates opportunities, manages partner ecosystems, develops manufacturing capabilities, and leads teams, delivery, financial performance, and risk.

Own the Vault product roadmap and lifecycle for a sports media asset platform. Lead discovery with customers, define solutions for content ingest, storage, integrations, AI enrichment, metadata, search, rights, and asset monetization. Partner closely with engineering, sales, and customer success, attend customer events, and prioritize product bets that help sports organizations maximize the value of extensive media archives.

Corti is seeking passionate individuals to join their talent community, shaping the future of healthcare through AI technologies. Opportunities include roles in AI technology, machine learning, and software development, focusing on reducing errors and improving patient outcomes.

Drives enterprise sales growth for legal and compliance software products through account planning, new customer acquisition, upselling, cross-selling, and strategic relationship management. Leads complex customer engagements, presents tailored solutions, manages sales quotas and forecasts, and collaborates with solution consultants, marketing, professional services, partnerships, and customer success teams. Requires consultative selling, enterprise account management, CRM proficiency, and strong negotiation and presentation skills.

Provides technical leadership for designing, developing, and deploying AI, machine learning, generative AI, and advanced analytics products. Leads solutions from experimentation through production while promoting software engineering, MLOps, testing, governance, responsible AI, and lifecycle best practices. Collaborates with business and product stakeholders, mentors data scientists and machine learning engineers, conducts technical reviews, and ensures scalable, reliable, interpretable, and maintainable AI solutions.

Own Gladia’s developer relations strategy by creating technical content, building developer communities, representing the company at events, managing partnerships and ambassador programs, and translating developer feedback into product improvements. The role focuses on increasing API adoption, activation, retention, and developer experience, particularly within the US voice AI ecosystem.

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.

Build and maintain large-scale data pipelines, transform raw location and behavioral data into reliable features, and create datasets for products, analytics, and machine learning. Explore complex data, develop metrics and visualizations, monitor quality, investigate anomalies, and translate exploratory analyses into production systems. Collaborate with product, engineering, and data teams to improve data infrastructure and product intelligence.

Coordinate battlefield simulation activities for next-generation rotorcraft programs. Develop mission architectures, operational scenarios, CONOPS, system-of-systems analyses, constructive simulations, and trade studies using MBSE and tools such as Cameo and VR-Forces. Lead testing, validation, documentation, training, and collaboration with military, industrial, NATO, academic, and cross-functional partners. Help establish simulation competencies involving physics modeling, terrain, AI, geospatial data, and software integration.

Product Manager - Solutions will transform complex aerospace and manufacturing operations problems into scalable, AI-powered B2B SaaS products. Responsibilities include product strategy and execution, customer discovery, workflow mapping, requirements definition, design-partner collaboration, outcome measurement, and go-to-market enablement. The role partners with Engineering, Data, Operations Research, Customer Operations, Sales, and enterprise customers to develop repeatable workflows rather than bespoke features.

Build and improve Firefox WebCompat internal dashboards, reporting tools, and broken-site screenshot capture pipelines. The role involves creating reliable data views for triage and metrics, automating screenshot workflows, collaborating with WebCompat and QA teams, and translating reporting needs into effective tooling. Familiarity with WebCompat workflows, Bugzilla, screenshot automation, and machine learning is preferred.

Leads Ipsen’s statistical innovation strategy across R&D, including innovative trial design, simulation, advanced modeling, predictive analytics, digital twins, virtual controls, and data mining. Manages a specialist quantitative team, establishes methodological standards, supports regulatory and portfolio decisions, and partners with biostatistics, clinical development, data science, and other cross-functional groups. Develops talent, oversees reproducible and submission-ready methods, and builds external scientific networks.

Six-month software engineering internship developing and testing Java components for Murex’s large-scale financial platform. Responsibilities may include backend services, distributed systems, performance optimization, data processing, monitoring, CI/CD, workflow tools, software architecture, and AI-assisted engineering. Interns analyze existing systems, improve reliability and maintainability, collaborate with experienced engineers, document solutions, and present findings. The role is based in Paris and requires strong Java, object-oriented programming, analytical, communication, and teamwork skills.

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.

Leads a senior engineering team across backend, frontend, mobile, and machine learning systems. Owns delivery, reliability, incident response, security, compliance, hiring, team development, architecture standards, developer experience, and responsible AI tooling. Partners with product, design, customers, prospects, and executives on roadmap and technical tradeoffs. This remote-first role requires strong technical judgment, engineering management experience, and production systems expertise.

Six-month software engineering internship focused on backend or full-stack development. Interns build high-scale, low-latency systems, web applications, APIs, data pipelines, or data-quality solutions while collaborating with mentors and applying software engineering best practices.

Lead data strategy, architecture, governance, quality, compliance, and technology adoption. Translate stakeholder needs into scalable data initiatives, support advanced analytics and AI/ML, promote data literacy, and guide cross-functional teams toward data-driven decision-making.

Conduct applied and fundamental AI research in computational advertising, focusing on generative video models, foundation models, generative modeling, bias, and flow matching. Develop scalable, product-ready algorithms, contribute to publications and patents, collaborate with academic partners, and help shape product innovation.

Develop computational biomechanical models to predict LVAD-induced aortic remodeling. The fellow will model vascular responses, calibrate simulations using imaging and histological data, simulate fibrotic and aneurysmal changes, and identify safer patient-specific LVAD implantation and actuation strategies. The role involves machine learning, digital twins, multiscale modeling, and collaboration within a cardiovascular biomechanics research team.