Top Machine Learning Jobs in France

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

The Senior AI Engineer will develop AI tools to enhance developer productivity at Datadog, focusing on LLM-based systems, prompts, and integration with existing products, while collaborating with various teams and users.

Lead product development for Datadog APM features, focusing on distributed tracing, performance analysis, and AI-driven troubleshooting. Work with engineers, designers, and customers to validate problems, deliver prototypes to production, define go-to-market, and measure adoption and impact.

The Junior Sales Engineer coordinates with Account Representatives, designs technical solutions, delivers training, supports clients, and creates prototypes while ensuring successful implementations.

Lead technical sales for enterprise accounts: design and demonstrate Cloudera solutions, discover customer use cases, support pre- and post-sales, partner with account managers, advocate customer needs internally, and evangelize externally.

As a Senior Applied Scientist, you will design machine learning solutions, develop scalable features, and analyze data within the Datadog app, collaborating with engineering and product teams.

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.

Lead product strategy and roadmap for AI and data security features—AI discovery, posture management, and data protection. Collaborate with engineering, design, security research, and GTM teams to define, build, and launch capabilities. Engage customers to validate solutions and drive adoption while translating security research into actionable product features.

Lead and grow a team of Applied Scientists to research, prototype, and productionize AI/ML capabilities across Product Analytics (event understanding, conversational analytics, automated insight reporting, session-replay issue detection). Define technical vision and roadmap, stay hands-on technically, hire and onboard team members, and coordinate delivery with product and engineering stakeholders.

Own Go-To-Market for performance media buyers: build relationships, close and onboard clients, represent Kayzen at industry events, advise prospects on product strategy, and funnel market feedback across teams.

Lead strategy, platform development, and AI-driven analytics for MCC data domains. Align dashboards and KPIs, manage external data and analytics engineers, implement GCP-based data pipelines and Looker reporting, drive GenAI/ML use cases, and partner with stakeholders and the central data office to enforce governance and maximize data-driven decision-making.

Design and deploy ML models and multi-stage data pipelines to measure and predict the causal impact of advertising. Analyze experiments and third-party data, build tooling for A/B test analysis, collaborate with Data/Product/Engineering to bring research to production, and influence bidding strategies at scale.

Develop and validate agentic AI software components using foundation models. Design and prototype agent reasoning, planning, tool usage, memory, and self-improvement techniques. Run experiments, participate in design and code reviews, and collaborate with cross-functional teams to deliver robust, scalable solutions.

Own client success for Emiri deployments by triaging issues, identifying root causes, coaching commercial teams, configuring and QA-ing client models, testing fixes, and translating user feedback into product enhancements and clear guidance for users and development.

The Head of Education & Community at Siena is responsible for developing product education, onboarding programs, community events, and market education resources. This role involves creating curricula, conducting workshops, and supporting sales with training and demos while leveraging AI for teaching efficiency.

Lead AI and machine learning architecture, mentor teams, drive innovation, and evaluate tools for AI systems development across global teams.

Lead and manage two Voice teams (8 engineers) building ASR and voice AI products. Own technical direction, architecture decisions, roadmaps, hiring, performance management, and cross-team coherence for production ML systems.

Lead architectural strategy for large, multiyear enterprise CX and CCaaS transformations. Act as senior technical advisor, set AI/data/omnichannel standards, resolve complex integrations, influence product roadmap, establish reference architectures, and mentor senior SA teams.

Work with multidisciplinary teams to integrate and analyze large heterogeneous scientific datasets, develop data processing pipelines, build and deploy ML and predictive models, apply AI and mathematical/systems biology models to support in silico drug design, molecular selection and optimization, and contribute data-driven insights to translational research.

Lead enzyme screening and biocatalytic process development for small-molecule APIs. Apply reaction engineering, kinetic modeling, DoE, machine learning, and robotics to optimize and scale processes, transfer to pilot scale, document results, and drive digital transformation across international multidisciplinary teams.

Design and develop ML/DL models to integrate multi‑omics data for target identification, pathway analysis, and patient stratification. Apply transformers, representation and self‑supervised learning in HPC/cloud environments. Ensure model robustness, interpretability and reproducibility while collaborating with biologists and drug discovery teams to translate biological questions into AI solutions.

Lead end-to-end execution of complex customer deployments for physical AI and robotics systems. Coordinate cross-functional engineering, hardware, AI, infrastructure, and customer teams; manage milestones, site readiness, testing, validation, logistics, and launch. Engage enterprise customers, surface risks, resolve technical blockers, and build scalable deployment and onboarding processes.

Lead design and development of scalable front-end applications using React and TypeScript for an AI/ML-powered cloud-native SaaS platform. Collaborate with product, UX, backend, and ML teams to integrate APIs and real-time services, drive front-end architecture, optimize performance and accessibility, and contribute to testing and continuous improvement.

Join a product squad to build NLP and ML solutions for legal documents: develop, deploy, monitor models (including LLM-based systems), design conversational agents, collaborate with engineers and product teams, and contribute to MLOps and engineering best practices.

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.