Top Machine Learning Jobs in France

Develops data analytics, data science, and AI solutions for internal audit, including pipelines, automations, APIs, machine-learning analyses, and reusable tools. Translates audit and risk questions into reliable, evidence-based insights; strengthens data governance and code quality; and trains auditors through coaching and bootcamps. The role also drives the internal audit data and AI roadmap, supports technology innovation, and collaborates internationally across Ayvens and Societe Generale.

Build and deploy data processing pipelines for fraud detection and AI products. Conduct R&D in machine learning, NLP, image analysis, trend analysis, and chatbots. Collaborate with clients, support prospect demonstrations, incorporate feedback, and contribute across the complete data science product lifecycle. The six-month internship requires a master’s student with production coding experience, fluent French, English communication skills, and an internship agreement.

Design, build, evaluate, deploy, and scale production AI systems for enterprise and digital-native customers. Responsibilities include architecture, coding, debugging, integrations, evaluation harnesses, reliability, observability, security, governance, and optimization of latency and cost. The role partners with customer and internal teams to move AI prototypes into reliable production systems, drive adoption, create reusable deployment tools and patterns, and translate customer deployment experience into product feedback.

Lead digital transformation initiatives for Airbus Manufacturing Engineering Work Preparation. Responsibilities include deploying unified platforms, defining data analytics strategy, governing data, implementing automation and AI solutions, ensuring export-control compliance, integrating manufacturing data, and coaching transnational teams. The role requires manufacturing engineering experience, project leadership, change management, AI and data expertise, stakeholder management, and willingness to travel.

Own a large portfolio of mid-market B2B accounts, driving renewals, retention, expansion, and revenue growth. Use usage data, health scores, and account signals to prioritize engagement, mitigate churn, identify upsell opportunities, and maintain accurate CRM forecasts. Contribute to scalable adoption initiatives, webinars, process improvements, and cross-functional collaboration with Support and Sales. The role requires fluent French and English, analytical account planning, negotiation, and operational rigor.

Develop computer vision and video analytics solutions for Airbus UpNext across ground, air, and road test benches. Build and annotate datasets, train and evaluate models, implement research algorithms in Python, write tests and documentation, benchmark models on target hardware, diagnose camera and video issues, and evaluate new sensors through data recording and integration prototypes.

Develop and maintain high-performance, scalable C++ backend components for airline pricing and retailing systems. Design architectures, database structures, and service integrations within a cloud-native, microservice, and event-driven environment. Collaborate with distributed Agile teams, contribute to innovative solutions using AI and machine learning, and improve airline offer management tools for reliability and efficiency.

Own the AI Potluck contributor roadmap, assess partner contributions, write product requirements, and guide integrations from initial concept through launch. Manage technical partner relationships, develop repeatable contribution pathways, align external integrations with product and engineering roadmaps, and drive ecosystem adoption. Collaborate with Product, Engineering, Finance, Research, Programmes, and Movement teams to advance open-source, public-interest AI products.

Lead and develop Customer Success Managers across Southern Europe, especially France and Spain. Ensure enterprise customers successfully launch and derive measurable value from the product, build executive and technical stakeholder relationships, translate product capabilities and performance data into business outcomes, establish scalable customer success processes, and handle complex escalations.

Lead the development of virtual pharmacology models using complex biological datasets. Assess data and proposals, build pipelines and machine learning proof-of-concepts, identify data gaps, collaborate with laboratory scientists, establish scientific validation, and prepare models for internal use and potential commercialization. Ensure reproducible, documented code and communicate findings to scientific, technical, commercial, and non-specialist audiences. The role may later help build and lead a data science team.

Evaluate and improve Fin, Back Market’s AI customer care agent, by reviewing conversations, monitoring quality scorecards, identifying defects and root causes, analyzing performance across markets and use cases, and tracking corrective actions. The intern will document evaluation frameworks and provide actionable feedback to product, engineering, content, and data teams.

Develop quantitative models for sports pricing, odds compilation, and risk management. Analyze large datasets, identify trading insights, deploy models with engineers, monitor performance, conduct back-testing, and continuously improve model accuracy. Collaborate with data scientists and engineers to align models with business needs. The role requires Python, sports betting market knowledge, statistical modeling, and experience with odds and margin optimization.

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 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 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.

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.

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.