All vacancies
Senior MLOps Engineer - Edge
Hudl
Remote · Spain, United KingdomSalary not disclosedfull-timeHudl Careers
We're hiring a Senior MLOps Engineer for our Hardware Group to build and scale the machine learning infrastructure that powers Focus, our line of smart cameras. You'll own the edge deployment pipelines that transport neural networks from training clusters to tens of thousands of devices globally, and contribute to the platform that compiles trained models into optimised inference engines for devices like the Jetson Orin, building the "nervous system" for the next generation of automated sports capture.
Responsibilities
- Build scalable Edge infrastructure. You'll design, develop, and maintain the delivery systems that enable us to deploy models to fleets of devices.
- Own the model compilation platform. You'll build and maintain the pipeline that takes trained models and produces optimised, hardware-specific inference engines — managing TensorRT compilation, precision trade-offs (FP16/INT8), calibration, and engine validation to ensure models run reliably and efficiently on target…
- Drive automation and reliability. You'll implement infrastructure to silently test candidate models on production devices and build telemetry pipelines to monitor drift, thermal impact, and inference latency in the wild.
Languages
- Work format
- Remote
- Seniority
- Senior
- Posted
- 17 Aug 2026
- Last verified
- In the last 5 days
Similar roles
- Research Engineer - Code Generation & Model Evaluationmicro1 · Remote · worldwide, UTC+4 accepted
- AI Workplace Solutions EngineerEPAM Systems · Remote · Armenia
- AI Research Engineer (Model Compression & Quantization) - 100% Remote WorldwideTether Operations Limited · Remote · worldwide, UTC+4 accepted
- Senior Machine Learning Engineer (RecSys)Infomediji · Remote · worldwide, UTC+4 accepted
- Senior Data Integration EngineerEPAM Systems · Remote · Armenia
- Senior AI Agent EngineerEPAM Systems · Remote · Armenia