2 of 2 ONNX Jobs in the North of England

shared training systems Preparing models for efficient on-device execution, balancing performance with mobile hardware limitations Deploy models for edge inference using CoreML and ONNX, optimising for mobile device constraints Working closely with mobile engineering teams to embed AI functionality into production SDKs Defining and improving methods for evaluating, benchmarking … approaches Research background or publications in relevant areas Tech stack • ML/AI: PyTorch, MLflow, SageMaker, ZenML • Infrastructure: AWS, Kubernetes, Docker • Edge deployment: CoreML, ONNX • Data: Python, S3, multimodal sensor data pipelines • Collaboration: JIRA, Git, structured OKR methodology Why you will enjoy working with our client: You’ll join ...

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, TorchScript) – Supporting research-to-deployment workflows that accelerate iteration – Helping define a scalable ML pipeline for edge and embedded use You'll bring: – Proven experience …/ML model optimisation and deployment – Knowledge of TensorRT, ONNX Runtime or similar inference runtimes – Hands-on experience with CUDA, low-latency profiling and C++ integration – Strong command of model export tools and deployment best practices – A performance-first mindset and confidence in debugging at system level Why them? – Strong ...