Hudl is seeking a Senior MLOps Engineer for our Hardware Group to scale edge deployment pipelines and create optimised inference engines for devices such as Jetson Orin. You will own the end-to-end edge deployment, from model training artefacts to hardware-specific runtime on thousands of devices globally.
You'll collaborate with Data Scientists, Embedded Engineers, and Product Managers to deliver robust, automated pipelines, manage TensorRT/precision trade-offs, and implement canary releases
📌 Senior MLOps Engineer — Edge AI (España)
🏢 Hudl
📍 España
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