Summary

Hudl is hiring a senior MLOps engineer to build edge machine learning infrastructure for smart sports cameras. The role focuses on model deployment, TensorRT compilation, fleet management, and reliable inference on embedded devices, with office options near London or Barcelona and remote candidates accepted in the UK and Spain.

Responsibilities

• Design and maintain edge model delivery systems
• Compile models into optimized inference engines
• Validate inference engines across target devices
• Build telemetry pipelines for production monitoring
• Implement resilient updates for low-bandwidth environments
• Establish python tooling and infrastructure practices