Computer Vision Engineer

Role Highlights

• Optimising deep learning models through quantisation, pruning, and fine-tuning
• Evaluating architectures for speed / accuracy trade-offs across devices
• Exporting models for runtime use (e.g. ONNX, Torch Script)
• Supporting research-to-deployment workflows that accelerate iteration
• Helping define a scalable ML pipeline for edge and embedded use

• Proven experience in CV / ML model optimisation and deployment
• Knowledge of Tensor
  
  RT, ONNX Runtime or similar inference runtimes