Senior MLOps Engineer

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

Benefits offered by this job

Annual bonus 7.5%

Share options worth up to $10,000

Job summary

La Fosse in the United Kingdom is seeking a Senior MLOps Engineer to help scale live AI/ML projects for global sports tech. You will deploy models across edge devices and cloud, supporting thousands of concurrent events and delivering real-time insights for teams and players.

The role emphasizes autonomy, collaboration with engineering and product teams, and building production-ready AI/ML systems. Experience with computer vision is beneficial; strong MLOps, scalability, and a product-minded

Qualifications

• Strong MLOps experience on edge devices or cloud platforms.
• Product-minded approach with a track record delivering AI/ML products.
• Experience deploying AI/ML systems at scale in production.

Responsibilities

• Deliver at scale: deploy ML models across edge platforms and cloud environments.
• Lead projects that enhance athlete, coach, and fan experiences.
• Collaborate with engineering, product and leadership to deliver best-in-class solutions.

Job description

• Paying up to £120k + 7.5% bonus + $10,000 in share (yearly)
• Remote first - UK or Spain
• 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 MLOps is a must - either in an edge device or cloud environment.
• 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.