Remote: Senior Edge MLOps Engineer for Live Sports

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

Benefits offered by this job

Up to £120k base salary

7.5% annual bonus

$10,000 in equity

Remote-first (UK or Spain)

Work with professional sport

Job summary

La Fosse, a SportsTech leader, is hiring a Senior MLOps Engineer to scale AI across live events. You will deploy ML models at edge scale, collaborating with engineering, product and leadership to deliver high-impact, production-grade AI solutions for athletes and fans.

Strong Python/C++ skills plus Edge, Kubernetes, TensorRT, NVIDIA DeepStream/Jetson and AWS are highly valued. This remote-first role spans the UK and Spain and offers a dynamic, innovation-driven environment.

Qualifications

• Strong Python and/or C++ skills and ML/AI experience.
• Experience with Edge, Kubernetes, TensorRT and NVIDIA stacks.
• MLOps experience and ability to ship AI/ML products.
• Product-minded with cross-functional delivery experience.
• Experience building scalable AI/ML systems in production.

Responsibilities

• Deliver at scale: deploy ML models across edge platforms for thousands of events.
• Lead impactful projects that improve athlete, coach, and fan experiences.
• Collaborate with engineering, product and leadership to deliver solutions.

Skills

Python

C++

MLOps

Edge computing

Kubernetes

TensorRT

NVIDIA DeepStream

NVIDIA Jetson

AWS

Product mindset

Tools

Kubernetes

TensorRT

NVIDIA DeepStream

NVIDIA Jetson

AWS

Job description

La Fosse, a SportsTech leader, is hiring a Senior MLOps Engineer to scale AI across live events. You will deploy ML models at edge scale, collaborating with engineering, product and leadership to deliver high-impact, production-grade AI solutions for athletes and fans.

Strong Python/C++ skills plus Edge, Kubernetes, TensorRT, NVIDIA DeepStream/Jetson and AWS are highly valued. This remote-first role spans the UK and Spain and offers a dynamic, innovation-driven environment.