4 of 4 Permanent ONNX Jobs in London

modern ML frameworks. Track record of delivering production-grade ML systems with measurable performance improvements. Experience with low-latency inference and model optimisation (ONNX, TensorRT, quantisation) is highly desirable. This is an opportunity to take ownership of the machine learning function within a growing AI company, driving innovation in real ...

modern ML frameworks. Track record of delivering production-grade ML systems with measurable performance improvements. Experience with low-latency inference and model optimisation (ONNX, TensorRT, quantisation) is highly desirable. This is an opportunity to take ownership of the machine learning function within a growing AI company, driving innovation in real ...

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 ...

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 ...