Machine Learning Engineer Luxury Jobs
There are 6 machine learning engineer luxury positions currently open.
Swiss Timing
Data Scientist
Swiss Timing, a global leader in precision timing and sports performance analytics, seeks a Data Scientist to transform raw sports data into actionable insights that drive performance analysis across elite-level sporting events. This on-site position requires developing advanced machine learning models, agentic AI systems, and self-service analytics platforms in collaboration with data engineers, software developers, and sports domain experts. The successful candidate will combine scientific rigor with practical deployment expertise to deliver sport-specific performance metrics that support athletes, federations, and media stakeholders.
Swiss Timing seeks Data Scientist for on-site role in Corgémont, Switzerland. Develop ML models and AI-powered analytics for elite sports performance.
LVMH
Data Scientist
Within LVMH's AI Factory, this Data Scientist will design, develop, and deploy artificial intelligence solutions serving the operational and strategic needs of the Maisons. The role encompasses modeling and developing machine learning systems, evaluating model performance in production, industrializing solutions with engineering teams, and fostering AI adoption across the group through knowledge-sharing initiatives.
LVMH AI Factory seeks Data Scientist in Paris to design and deploy machine learning solutions supporting business teams across luxury Maisons.
Swiss Timing
Data Scientist
Swiss Timing seeks a Data Scientist to transform raw sports data into actionable insights supporting performance analysis and data-driven decision-making across high-level sporting events. Working within an interdisciplinary tech team, the successful candidate will develop advanced machine learning models, agentic systems, and AI-powered analytics solutions for live and post-processing systems. This role requires strong scientific thinking, hands-on ML development, and collaboration with data engineers, software developers, and sports domain experts to deliver reliable, sport-specific performance metrics.
Swiss Timing seeks a Data Scientist in Leipzig to develop ML models and AI systems for sports performance analysis. On-site role.
Louis Vuitton
Data Scientist
Louis Vuitton seeks an experienced Data Scientist to join the Digital Direction and Client Development team's Data Science & AI division in Paris. The role involves defining and piloting data science and machine learning projects to address business challenges in supply chain and manufacturing, implementing predictive models, measuring performance and ROI, and collaborating with technical and business teams to translate data insights into operational value.
Data Scientist (F/H) position at Louis Vuitton in Paris — machine learning, supply chain, 5+ years required.
Sephora
Data Scientist
Sephora seeks an accomplished full-stack data scientist to lead the complete lifecycle of data science initiatives—from problem framing and exploratory analysis through production deployment and ongoing monitoring. The successful candidate will combine cutting-edge AI-assisted development capabilities with rigorous software engineering discipline, leveraging tools such as GitHub Copilot and Cursor to accelerate prototyping while maintaining production-grade code quality. This role demands both rapid experimentation and meticulous engineering, partnering across business and technical teams to translate data capabilities into measurable commercial value within the beauty and retail sector.
Sephora is hiring a Data Scientist in Shanghai to lead full-lifecycle data science projects with AI-assisted tools and production engineering expertise.
Kering
AI Engineer
Kering seeks an experienced AI Engineer to join its Data & AI team in Paris, a group of experts supporting the luxury conglomerate and its maisons in unlocking data value through innovative AI solutions. The role involves designing, developing, and industrializing Generative AI and agentic applications across GCP and AWS platforms, addressing strategic business challenges in operations, customer experience, and merchandising. The successful candidate will collaborate closely with platform teams, deploy production-grade solutions, and contribute to the continuous evolution of AI-assisted engineering practices across the organization.
Kering seeks an AI Engineer in Paris to design, develop, and deploy Generative AI solutions on GCP and AWS, supporting luxury industry transformation.