Top Machine Learning Jobs in France

Develop and manage systematic trading strategies, optimize quantitative portfolios, and collaborate with quant traders and the investment committee.

The Senior Data & AI Strategist will lead data and AI transformation initiatives, advise clients, and ensure impactful strategy delivery, while mentoring team members.

The Director of Engineering for Mission Intelligence will manage engineering teams, oversee recruitment, develop standardized processes, and contribute to organizational strategy while remaining technically engaged with projects.

Design, implement, and validate automated manufacturing and test systems. Improve OEE and reliability, integrate automation with ERP/MES, build OEE dashboards and predictive maintenance, prototype robotics solutions, standardize architectures, and train technical staff.

Design, implement, and optimize AI-powered solutions to support financial compliance and controls. Monitor GAAP/IFRS adherence, automate controls and reporting, support internal/external audits, and manage complex accounting areas like revenue recognition and lease accounting while collaborating with finance, audit, and technology teams.

Design, implement, and monitor AI/ML models to improve underwriting risk assessment, pricing, and portfolio management. Translate underwriting rules into data models, integrate models into workflows, analyze datasets for risk patterns, build decision-support tools, ensure compliance and fairness, and collaborate with underwriting, actuarial, product, and engineering teams.

Drive data-informed capital allocation by building financial models (NPV, IRR), applying AI/ML for forecasting and scenario planning, creating build-vs-buy and prioritization frameworks, implementing decision-support systems, collaborating with cross-functional stakeholders, and monitoring post-investment performance to refine allocation models.

Contract role combining actuarial science, risk management, and AI to improve portfolio performance. Responsibilities include loss and combined ratio analysis, portfolio risk assessment, catastrophe and exposure modeling, stress testing, and integrating ML to enhance pricing, reserving, and risk selection while collaborating with underwriting, finance, and product teams.

As a PhD Investment & Strategy Associate, you'll conduct research and financial analysis focused on AI-driven technology companies, providing insights for investments while collaborating with a talented team to support strategic decision-making.

As a Senior Fullstack Engineer, you will develop a legal intelligence platform, focusing on user experience, reusable components, and ML integration while collaborating closely with product teams.

You will leverage your technical expertise and sales leadership to drive revenue growth, build partnerships, and represent technology to engineering companies, focusing on capturing new business opportunities in Europe.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

As an AI Product Manager, you will lead AI product development, collaborate with teams, conduct market research, and ensure alignment with user needs.

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.

Design and execute benchmarks, curate datasets, evaluate benchmarks, and build evaluation infrastructure for AI model assessment while collaborating with R&D.

The Senior Machine Learning Engineer will design and implement AI and ML solutions, build retrieval pipelines, and develop language models to enhance patient care access and management.

Lead data analytics for a portfolio of mobile games, translating player, user acquisition, and monetization data into actionable insights. Define the analytics roadmap, ensure data quality, automate dashboards, and collaborate with data engineering teams. Manage and mentor analysts, support stakeholders, promote data-driven decision-making, and train teams on data tools and insight interpretation. The role requires SQL, Python, visualization tools, gaming analytics experience, and English and French fluency.

Lead Data, Analytics, AI, and GenAI presales activities for strategic enterprise opportunities. Facilitate discovery workshops, translate business needs into scalable architectures, lead RFP and RFI responses, and present solutions to executives. Design end-to-end AI and cloud architectures across Azure, GCP, Databricks, and open-source ecosystems. Advise on AI transformation use cases, roadmaps, governance, and implementation, while mentoring delivery teams and developing reusable frameworks, offerings, thought leadership, and customer success materials.

Develop and deploy machine learning models for dynamic pricing, fleet repositioning, and marketplace optimization. Build MLOps processes, experimentation infrastructure, data pipelines, KPIs, and real-time monitoring dashboards. Collaborate with international, multidisciplinary teams to influence product strategy and business decisions. The role requires production-quality Python, SQL, BI tools, statistical expertise, and the ability to communicate insights to nontechnical stakeholders.

Leads digital transformation across procurement by implementing and optimizing SAP, Coupa, ERP, e-sourcing, and supplier management technologies. Oversees data governance, integration, process improvement, category and spend analytics, supplier performance monitoring, and cross-functional project delivery. Evaluates emerging capabilities such as AI and RPA, manages stakeholder relationships, mentors team members, and drives procurement technology innovation and operational efficiency.

Conduct research advancing self-improving AI, agentic intelligence, autonomous execution, long-horizon reasoning, learning from experience, model architectures, training, and evaluation. Develop novel algorithms, research prototypes, and experimental systems, collaborating with engineers and researchers to turn frontier research into robust, scalable AI systems.

Comand AI is accepting spontaneous applications for future engineering, product, business development, and deployment roles. Potential work includes forward-deployed engineering, computer vision, applied machine learning research, full-stack and backend development, geospatial data, ML/LLM workflows, and military deployment strategy. Strong candidates operate autonomously, handle ambiguity, scope problems independently, and prioritize user outcomes. The company operates from Paris and London with a hybrid setup.

Build and ship end-to-end features for Prevail, an operational planning platform used in live defense deployments. Responsibilities include full-stack or backend development with Python, FastAPI, and TypeScript; geospatial data work using tile servers and PostGIS; resilient ML and LLM workflow orchestration with LangGraph and LangChain; and on-premise appliance deployment. The role involves working independently amid ambiguity, collaborating with leadership, engaging directly with users, and traveling to client sites when deployments require it.

Build Solidgate’s new ML/AI function, developing production machine learning models, recommendation systems, and real-time transaction-routing decision systems. Own experimentation from ideation through A/B testing and deployment, engineer features from high-cardinality transactional data, integrate emerging AI technologies, and collaborate with Product, Engineering, and Data Platform teams on training and analytics pipelines.

Build and grow Cloudera’s sovereign cloud business across EMEA. Develop provider and customer relationships, create marketplace offerings, lead discovery and value discussions, coordinate cross-functional teams, enable partners, generate pipeline, and drive sales motions. Own regional sovereign cloud pipeline, forecasts, bookings, and revenue. The role requires enterprise cloud, data, AI/ML sales experience, sovereign cloud expertise, complex deal leadership, executive communication, and strong hunting skills.