Senior Machine Learning Engineer

La Fosse; United Kingdom; Hybrid; GBP 108,000 - 132,000; Full time

Benefits offered by this job

Annual bonus 7.5%

$10,000 equity

Remote work (UK or Spain)

Job summary

La Fosse is hiring a Senior MLOps Engineer to scale ML across edge platforms in a remote-first setup in the UK or Spain. The role focuses on building AI features for sports technology, collaborating with engineering, product, and leadership to deliver cutting-edge experiences for teams and fans.

You will deploy models at scale, lead cross-functional projects, and contribute to production systems that power real-time insights from live events.

Qualifications

• Experience deploying ML models at scale on edge platforms.
• Strong Python and/or C++ development skills.
• Proven track record delivering AI/ML products with cross-functional teams.

Responsibilities

• Deliver at scale: deploy ML models across edge platforms.
• Lead impactful projects: own initiatives that enhance athletes, coaches and fans.
• Collaborate cross-functionally: work with engineering, product and leadership teams.

Skills

MLOps

Leadership

Tools

Python

C++

Edge

Kubernetes

TensorRT

Nvidia DeepStream

Nvidia Jetson

AWS

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 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.