Top Machine Learning Jobs in France

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.

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 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.

Lead and grow an Applied Science team building agentic AI/ML capabilities across Product Analytics (event understanding, conversational analytics, automated insight reporting, session-replay issue detection). Define technical vision and roadmap, move prototypes to production, hire and onboard scientists, partner with product and engineering, and represent team priorities to stakeholders.

Lead Workday Compensation implementations and HCM transformations: run workshops, gather requirements, configure, test, deploy, lead workstreams, liaise with clients and teams, and apply Accenture/Workday methodologies and AI-enabled tools.

As a Technical Account Manager, you'll drive customer adoption of AI tools, manage projects, deliver demos, and advocate for user feedback while collaborating across teams to ensure customer success.

The AI Deployment Engineer collaborates with startups to optimize AI systems, develop evaluation methodologies, and provide technical insights to improve product quality and customer experience.

Design and deploy large-scale ML solutions for adtech: research CTR prediction and online learning, translate papers into production, run A/B tests, monitor live model performance, and collaborate with engineering teams to deliver high-throughput, low-latency prediction systems.

Join the DevOps/Releases team to support software quality, product customization, packaging and deployment. Contribute to manual and automated testing, bug analysis and resolution, build infrastructure tools, and work on small-to-medium tasks across software and sensor-integrated products while learning the codebase and deployment processes.

Full-cycle recruiter for an AI safety startup, sourcing and hiring engineering, AI research, product, and business roles across the US and Europe. Build technical pipelines, conduct structured interviews, assess candidates for technical and cultural fit, improve recruiting processes and tooling, and advise hiring managers and leadership.

Lead strategic selling of enterprise AI applications and use cases to Global 1000 customers. Develop account engagement plans, drive business development, collaborate with product and engineering, and expand customer footprints. Serve as a technical-sales leader, translating complex AI/ML concepts into business value. Travel to customer sites up to 50%.

Lead global marketing strategy and GTM to scale Aisle into a market leader. Own brand, PR, product positioning, full-funnel demand generation, ABM, marketing tech stack, RevOps, attribution, budget/agency management, and grow a multidisciplinary marketing team aligned to revenue targets.

Test native iOS and Android photo-editing apps (manual and automated), validate image-processing and ML features, design/maintain automated test suites, perform exploratory testing, use AI-assisted tools for test generation and analysis, report QA metrics, collaborate with cross-functional teams, and create testing documentation.

Conduct R&D to create practical hybrid quantum algorithms and applications on C12 hardware, collaborate with software and business teams to implement optimized workflows, support industrial partnerships and clients, and publish/present scientific results.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Develop, design, test and implement imaging and 3D reconstruction algorithms using C++ and Python. Analyze real data, optimize for high-performance computing, integrate algorithms into applications, and collaborate across algorithms, physics, and electronics teams while participating in design and code reviews.

Lead product strategy and roadmap for query interpretation and search quality. Own models, tools, and metrics to optimize recall and precision. Collaborate with ML, infra, and product teams, triage quality issues, benchmark competitors, and build evaluation frameworks and explainability for search results.

Lead the Recommendations engineering team to build scalable, reliable recommendation-as-a-service products. Own recommendation quality and business impact, set technical direction, translate product goals into engineering plans, ensure SLAs, hire and coach engineers, and drive system reliability and scalability.

Design, develop, and maintain high-performance, secure Java backend services and APIs. Ensure reliability, scalability, and cost-efficiency across microservices, databases, messaging systems, and capacity planning. Troubleshoot, profile, benchmark, and optimize systems (including ML applications) and collaborate with Kazakhstan stakeholders.

Own post-sale customer lifecycle for Portuguese utility accounts: onboard, embed Neara into workflows (vegetation management, clearance analysis, CAPEX), run QBRs, monitor health scores, drive renewals and upsell, and align product roadmap with local market needs.

Lead and scale Joko's end-to-end B2C growth engine (acquisition, activation, retention, reactivation). Own growth budget, LTV/CAC, measurement and incrementality, identify new growth loops, scale AI across growth operations, and build a high-performing Growth team while partnering with Product and Data for rapid execution.