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6 of 6 ONNX Jobs in the City of London
City of London, London, United Kingdom
Hybrid / WFH Options Explore Group
and ability to work in a hybrid, collaborative environment. Nice to Have Experience with transformer-based vision models (ViT, CLIP, SAM). Familiarity with real-time inference and optimisation ( ONNX, TensorRT). Previous work on video analytics, 3D vision, or multi-modal ML projects. More ❯
london (city of london), south east england, united kingdom
Hybrid / WFH Options Explore Group
and ability to work in a hybrid, collaborative environment. Nice to Have Experience with transformer-based vision models (ViT, CLIP, SAM). Familiarity with real-time inference and optimisation ( ONNX, TensorRT). Previous work on video analytics, 3D vision, or multi-modal ML projects. More ❯
City of London, London, United Kingdom Ultralytics
computer vision and a strong understanding of model architectures like transformers and CNNs. Hands-on experience with model optimization (i.e. quantization, pruning) and model deployment frameworks such as TensorRT, ONNX Runtime, and OpenVINO. Proficiency with CUDA programming and optimizing code for GPU acceleration. Strong background in MLOps practices, including CI/CD using GitHub Actions and containerization with Docker. Excellent More ❯
london (city of london), south east england, united kingdom Ultralytics
computer vision and a strong understanding of model architectures like transformers and CNNs. Hands-on experience with model optimization (i.e. quantization, pruning) and model deployment frameworks such as TensorRT, ONNX Runtime, and OpenVINO. Proficiency with CUDA programming and optimizing code for GPU acceleration. Strong background in MLOps practices, including CI/CD using GitHub Actions and containerization with Docker. Excellent More ❯
City of London, London, United Kingdom Ultralytics
model robustness on diverse datasets. Leading the full lifecycle of model development, from research and training to validation and performance benchmarking. Mastering model export to various formats such as ONNX, OpenVINO, and TensorRT to support a wide range of hardware. Working on model deployment strategies, including optimizing models for high-performance inference on both cloud and edge devices. Contributing to More ❯
london (city of london), south east england, united kingdom Ultralytics
model robustness on diverse datasets. Leading the full lifecycle of model development, from research and training to validation and performance benchmarking. Mastering model export to various formats such as ONNX, OpenVINO, and TensorRT to support a wide range of hardware. Working on model deployment strategies, including optimizing models for high-performance inference on both cloud and edge devices. Contributing to More ❯
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