Senior MLOps Engineer

New Yesterday

OverviewData Science, AI & Machine Learning Consultant at La FossePaying up to £110k + 7.5% bonus + $10,000 in share (yearly)London - 1 day a weekA chance to work closely with professional sport.About the RoleYou'll work on projects that scale across thousands of live events globally, developing new experiences and insights that power the future of sports. The team uses Computer Vision; an understanding of how this works is beneficial but not essential.The role focuses on expanding AI offerings in SportsTech and delivering impactful AI/ML solutions in collaboration with cross-functional teams.ResponsibilitiesDeliver at scale: deploy ML models across cloud and edge platforms, scaling to thousands of simultaneous matches.Lead impactful projects: Own and drive initiatives that directly enhance the experience for athletes, coaches, and fans.Collaborate cross-functionally: Work closely with engineering, product, and leadership teams to deliver best-in-class solutions.Technical requirementsStrong technical skills: Deep experience with Python and/or C++, plus proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS.MLOps experience.Product-minded approach: Demonstrated success delivering AI/ML products in collaboration with cross-functional product teams.Scalable systems expertise: Solid track record building and managing AI/ML systems in production environments at scale.Nice to HaveSports tech experience: Background applying AI/ML in the sports domain for data generation or insights.Systems optimisation: Knowledge of GPU kernel development (CUDA, OpenCL, etc.), real-time system optimisation (e.g., Nvidia NSight), or experience with embedded SoCs (Nvidia, Qualcomm, etc.).Employment detailsSeniority level: Mid-Senior levelEmployment type: Full-timeJob function: Information Technology and EngineeringIndustries: Data Infrastructure and Analytics, Technology, Information and Media, and Sports Teams and Clubs #J-18808-Ljbffr
Location:
England, United Kingdom
Job Type:
FullTime