Top Machine Learning Jobs in France

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.

The Chief Marketing Officer will lead Wiremind’s global go-to-market strategy across product, sales, customer success, and executive leadership. Responsibilities include product and market positioning, packaging and pricing alignment, demand generation, corporate communications, PR, thought leadership, sales enablement, performance measurement, and international growth. The role manages an 11-person marketing team, drives revenue-oriented metrics such as CAC, LTV, and pipeline contribution, and develops AI-enabled market intelligence and marketing operations.

Lead Sparteo’s Data & AI organization across data engineering, infrastructure, data science, MLOps, analytics, and BI. Define the AI roadmap, govern data and KPI standards, oversee real-time ML and adtech infrastructure, manage budgets, and develop multidisciplinary teams. The role requires deep mathematical and technical authority, hands-on architecture and model auditing, scaling experience in high-volume environments, and executive-level representation to the board, investors, and business leaders.

SAP Functional Consultant supporting major clients with SAP S/4HANA deployments, implementations, and migrations. Responsibilities include functional expertise across SAP modules, business and technical project support, client collaboration, analytical problem-solving, and participation throughout project phases. The role also requires familiarity with Agile, Scrum, Waterfall, SAP Fiori, SAP Analytics Cloud, SAP BTP, migration tools, AI, and machine learning.

Develop causal inference, experimentation, predictive modeling, segmentation, forecasting, and LTV analyses for leboncoin’s Recommerce business. Measure promotional incrementality, optimize CRM and marketing decisions, identify high-value user segments, predict logistics outcomes, and prototype AI features. Collaborate with data, product, and engineering teams while translating complex analytical findings into actionable business recommendations.

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.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Design user experiences for an agentic AI platform used by large organizations. Responsibilities include user research, UX/UI and interaction design, prototyping, user testing, A/B testing, impact measurement, roadmap shaping, and collaboration with product, engineering, and research teams. The role focuses on making complex AI workflows understandable, trustworthy, and intuitive while contributing to design systems and exploring code and AI-assisted design workflows.

Design user-centered experiences for an agentic AI workflow platform. Conduct user research, create designs and prototypes, test products through interviews and A/B testing, measure impact, iterate quickly, and shape the product roadmap with product and engineering teams. The role requires simplifying complex AI-driven workflows, designing for unpredictable AI behavior, maintaining user control, contributing to design systems, and collaborating comfortably on technical topics.

Lead a team of Data Engineers responsible for the Marketing Data Hub. Define secure, modern data architectures; oversee ingestion, transformation, exposure, partner flows, adtech, and data quality; collaborate with Product, CRM, business teams, and partners; support AI initiatives; and ensure operational stability and delivery across international projects.

Contribute to AI-powered forecasting and optimization tools for revenue management. Analyze optimization algorithms, monitor decision data, develop performance KPIs, validate new features, write product tickets, and collaborate with Data Science, Machine Learning, Software, and Product teams. Share findings in product discussions and help deliver improvements used by transport and events clients.

Support ML engineers by improving the MLOps platform, implementing data science algorithms in client applications, collaborating on infrastructure, and deploying algorithms safely and scalably. The role involves Python backend development, data stores, CI/CD, Kubernetes infrastructure, monitoring, and production support. Candidates should be pursuing a Master's degree in Engineering and seeking an end-of-study internship.

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

Lead digital transformation, data analytics, automation, and work-preparation improvement projects for Airbus manufacturing engineering. Responsibilities include deploying unified platforms, defining data strategies and products, automating processes with RPA, machine learning, and AI, ensuring data consistency and export-control compliance, and supporting change management across plants and transnational teams.

Build Solidgate’s ML/AI function from the ground up, developing real-time payment routing models and production pipelines. Own the full ML lifecycle from experimentation and A/B testing through deployment, while solving modeling challenges involving large-scale transactional data. Partner with Product, Engineering, and Data Platform teams to deliver measurable improvements in conversion, approval rates, losses, and revenue.

Build and operate production machine learning platforms and pipelines, including deployment, monitoring, retraining, governance, and lifecycle management. Maintain and improve enterprise sales forecasting models by diagnosing accuracy degradation, engineering features, tuning algorithms, and evaluating performance. Deploy workloads on Vertex AI and BigQuery, operationalize generative AI, manage infrastructure as code, ensure data and model lineage, troubleshoot failures, and collaborate with Data Science, Engineering, Security, Finance, Operations, and Supply Chain.

Develop and deploy production-ready AI and machine learning solutions for pharmaceutical manufacturing and supply operations. Responsibilities include data mining, statistical modeling, forecasting, optimization, visualization, experimentation, and industrializing scalable models with developers and MLOps teams. The role involves working with IoT and complex datasets, applying responsible AI governance, collaborating globally, and mentoring junior data scientists and analysts.

Own the vision, strategy, roadmap, and prioritization for machine-learning prediction products supporting growth operations. Conduct stakeholder discovery, define technical specifications, coordinate releases, onboard users, analyze performance, and resolve prediction issues. Collaborate with external partners, monitor privacy developments, improve team processes, and serve as the primary contact for senior management. The role requires strong product management experience, analytical thinking, communication skills, English fluency, and conversational French.

Senior Data Scientist responsible for delivering data science and machine learning solutions using Databricks. The role involves translating business requirements into effective data-driven solutions, collaborating directly with French-speaking clients and technology teams, and owning projects through successful delivery. Strong analytical, communication, stakeholder management, French and English language skills are required. The position offers flexible hybrid work on AI, generative AI and data projects in an international environment.

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.

Leads Sanofi’s global Quality Control digital product line and transformation strategy across manufacturing sites. Oversees LIMS, LES, robotics, AI, analytics, data architecture, roadmaps, budgets, deployments, KPIs, and continuous improvement. Builds and mentors product teams, manages stakeholders and vendors, drives organizational change, and ensures adoption and ROI in regulated QC environments.

Develop and deploy machine learning models and systems for time-series wearable sensing and brain-computer interface applications. Collaborate with research, software, and hardware teams to integrate algorithms, resolve issues, and evaluate model performance. Build training and testing tools, write high-quality code, communicate technical tradeoffs, and apply advanced ML techniques to physiological sensor data and real-time systems.

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.

Own the Mapping & Content product domain end to end, including strategy, prioritization, economics, and outcomes. Lead efforts to match hotel rooms and content across suppliers, languages, and formats with high accuracy and coverage. Partner closely with engineering and data science teams on entity resolution, search, matching, catalog, identity, recommendation, and content-quality problems. Identify high-value failures, make trade-offs between precision and coverage, and help build Nuitee’s product organization in a fast-moving environment.

Lead research on interactive avatar models and real-time generative AI video agents. Set research direction, advance multimodal perception and reaction generation, post-train diffusion models, build evaluation frameworks, define datasets, and guide research-to-production efforts. Mentor researchers and influence technical decisions across research, data, and engineering teams.