Top Machine Learning Jobs in France

As a Product Manager for the Identity Platform, you will define product strategies, collaborate with technical teams, and ensure effective identity verification and fraud detection systems are built and maintained.

The internship involves onboarding, participating in reconciliation projects, analyzing trade data, validating tools, and researching advanced technologies to enhance financial data reconciliation workflows.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

The specialist will manage payment operations, enhance approval rates, analyze KPIs, build relationships with stakeholders, and develop strategic improvements and workflows.

The Senior Data Product Manager will own product vision and strategy, coordinate releases, gather user feedback, and collaborate on predictive projects, mainly focusing on machine learning and data-driven solutions for growth operations.

As a Solutions Architect at Pathway, you will design and deploy AI models for enterprise customers, bridge sales and technical teams, and contribute to scalable solutions.

Lead a team of ML Engineers to develop and optimize ML systems, ensuring high-quality clinical care through AI. Foster collaboration across teams for innovative AI/ML features.

The role involves scaling marketing functions, defining positioning, executing GTM strategies, managing marketing funnels, and creating impactful content for different personas in a cross-functional environment.

The Data Scientist will develop and implement advanced analytics and AI solutions for R&D and Medical functions, focusing on patient data analysis, machine learning, and collaborative evidence generation.

Lead the HR People Intelligence and Analytics team, analyze employee data to drive strategic decisions, enhance employee experience, and improve organizational performance. Responsibilities include data storytelling, partnering with HR leadership, and shaping data strategy.

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

Assist in defining and deploying AI strategies, formalizing AI architectures, and collaborating with teams on AI technology solutions and governance practices.

Lead the AI compiler team to develop compilers for NextSilicon's platforms, leveraging expertise in large-scale compiler development and machine learning.

The VP of Engineering will lead the technical roadmap for Le Chat, drive product innovations, and manage a team of 30 engineers.

The internship offers practical experience in renewable energy analytics and quantitative research, focusing on machine learning, data analysis, and operational challenges.

The Global Digital Marketing Senior Manager will elevate brand presence across digital channels, lead data-driven marketing strategies, and enhance consumer experience through automation and advanced analytics.

Lead the development and enhancement of LLM-powered products, collaborating with cross-functional teams to create innovative AI-driven solutions.

The Principal Solution Engineer supports sales by engaging with customers, conducting demos, leading workshops, and collaborating with teams to drive product development and deployment.

This role involves driving new sales of AI solutions by building pipelines, engaging with executives, and closing high-value enterprise deals, with a consultative approach.

The Actuarial Data Scientist will leverage advanced machine learning and data insights to enhance insurance pricing and reserving processes, collaborating with various teams and engaging directly with clients to implement and demonstrate modeling solutions.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

As an Applied Scientist/Research Engineer, you will develop telemetry-native security agents, conduct large-scale experiments, and communicate with client teams on security and observability solutions.

As a Solutions Architect at NVIDIA, you will provide technical guidance, develop AI solutions for financial services, and support stakeholders.

As a Quantum Scientist, you will develop theoretical models of superconducting qubits, create numerical methods for their study, and collaborate with engineers and physicists to optimize quantum device performance.