Senior MLOps Engineer - Hudl Focus

Experience with the NVIDIA edge ecosystem (Jetson Nano/NX/Orin, DeepStream SDK, TensorRT) is a huge plus.

Familiarity with video pipelines, GStreamer, or ffmpeg.

Experience with tools like AWS IoT Greengrass, Balena, or custom OTA / fleet management solutions.

starting salaries will typically fall near the middle of this range.

We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices.

This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion.

£66,000

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We’re hiring a Senior MLOps Engineer to join our Hardware Group, where you’ll build and scale the machine learning infrastructure that powers our smart cameras,

You’ll own the edge deployment pipelines that transport neural networks from training clusters to tens of thousands of devices globally and will act as the bridge between our Applied Machine Learning team in London and our Software squads in the Netherlands and the U.S., building the "nervous system" for the next generation of automated sports capture.