Top Machine Learning Jobs in France

As a Senior Product Data Scientist, you will support product decisions using data insights, conduct analysis, design experiments and mentor team members in a collaborative Agile environment.

The Senior Sales Executive will drive growth in the French, Belgian, and Luxembourger markets for Visa's fraud and risk solutions, leveraging technical expertise and strong sales skills to enhance client engagement and revenue.

Manage and mentor engineering teams, ensure high-quality product delivery, contribute to technical decisions, and enhance classroom learning experiences.

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

The Lead Project Manager (Martech) will oversee project delivery, manage multiple teams, and drive client success through strategic leadership, efficient resource management, and agile methodologies.

The Senior ML Engineer will develop and deploy ML features for a CRM platform, collaborating with users and product teams, while enhancing ML capabilities and ensuring performance.

Lead the Performance Optimisation team in developing machine learning and optimization tools for quantum computing, managing projects, resources, and team development.

The Partner Solutions Architect leads partner engagement in EMEA, focusing on AI and accelerated computing solutions through collaboration, training, and technical support.

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

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

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

As a Senior Research Engineer, you will work on applying generative AI models for video production and improving model performance in avatar rendering, utilizing your expertise in post-training techniques.

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.

The Domain Solution Architect provides strategic guidance on AI/ML implementations and designs architectures combining SUSE's open-source solutions, aiding enterprise customers in navigating complex technology integrations.

Develop NLP models for legal documents in German, maintain models in production, design conversational agents, and collaborate with teams to enhance product development.

As a Data Scientist, develop data science capabilities within the Scent Creation team, enhance fragrance tools, work with complex data sets, and apply advanced analytical methods.

Define and execute product strategy for consumer AI tools, leveraging market insights and user needs to drive product development and collaboration across teams.

As a Campus Quantitative Researcher Intern, you will engage in intensive research projects, training in trading and quantitative analysis, and collaborate with trading teams under mentorship.

The internship focuses on enhancing quantitative and programming skills, involving rotations with trading teams to develop predictive models and automated trading strategies.

Designs and builds technical GTM experiments, demo applications, and integrations while collaborating with the founding team and early adopters. The role emphasizes fast iteration and collecting feedback.

The Product Specialist - Gen AI will drive adoption of Gen AI solutions, provide technical leadership, and act as a bridge between product management, sales, and engineering to enhance customer success.

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

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

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

Lead the Applied ML team to create AI solutions for enterprises, manage ML engineers, and collaborate with customers and executives on initiatives.