Senior MLOps Engineer (Edge)

La Fosse; Greater London; Remote; GBP 108,000 - 132,000; Full time

Benefits offered by this job

Annual bonus 7.5%

£10,000 in share options

Job summary

La Fosse is seeking a Senior MLOps Engineer to join a fast growing SportsTech platform that analyses live video to deliver insights for professional sports. You will deploy ML models across edge platforms, scale to thousands of concurrent events, and collaborate with engineering, product and leadership to ship AI features.

The role values a product-minded, hands-on technologist with Python/C++, Kubernetes, and AWS expertise, and offers remote UK or London-based flexibility with a strong focus on

Qualifications

• Experience deploying ML models to edge platforms.
• Strong Python and/or C++ programming.
• Proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson and AWS.
• Proven ability to deliver AI/ML products with cross-functional teams.
• Experience building production AI/ML systems at scale.

Responsibilities

• Deliver at scale: deploy ML models across edge platforms for thousands of events.
• Lead initiatives that improve athletes', coaches', and fans' experience.
• Collaborate with engineering, product and leadership to deliver best-in-class solutions.

Skills

MLOps

Edge computing

Cross-functional collaboration

Production AI/ML systems

Tools

Python

C++

Kubernetes

TensorRT

Nvidia DeepStream

Nvidia Jetson

AWS

Job description

• Paying up to £120k + 7.5% bonus + $10,000 in share (yearly)
• Remote UK or London based
• A chance to work closely with professional sport!

I am currently working with a global leader within SportsTech, who are currently expanding their AI offerings and are looking to hire Senior MLOps Engineers.

Their platform captures, analyses, and delivers insights from live video to transform how sports teams perform at every level, with a strong emphasis in professional sport. If you're looking for a company that prioritises innovation, autonomy while working on some of the most exciting challenges in sports tech today then this is a great opportunity for you!

About the Role

You’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 are all using Computer Vision so an understanding of how this works is beneficial but not essential.

In this role, you will:

• Deliver at scale: deploy ML models across 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 requirements:

• Strong technical skills: Deep experience with Python and/or C++, plus proficiency with Edge, Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS.
• MLOps.
• 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.