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6 of 6 Permanent ONNX Jobs in the City of London
City of London, London, United Kingdom Astek
years in Computer Vision and Deep Learning, with a track record of live deployments in production environments. Proficiency in Python and PyTorch; familiarity with frameworks such as OpenCV, TensorRT, ONNX, or Triton is essential. Knowledge of low-latency performance tuning and multi-threaded programming for real-time processing. Proven experience with object detection and tracking models (e.g., YOLO, Deep SORT More ❯
london (city of london), south east england, united kingdom Astek
years in Computer Vision and Deep Learning, with a track record of live deployments in production environments. Proficiency in Python and PyTorch; familiarity with frameworks such as OpenCV, TensorRT, ONNX, or Triton is essential. Knowledge of low-latency performance tuning and multi-threaded programming for real-time processing. Proven experience with object detection and tracking models (e.g., YOLO, Deep SORT More ❯
City of London, London, United Kingdom Astek International
performance. Requirements 5–7 years of experience in Computer Vision and Deep Learning with deployed production models. Strong proficiency in Python and PyTorch ; hands-on experience with OpenCV, TensorRT, ONNX, or Triton . Proven expertise in object detection/tracking models such as YOLO, Deep SORT, DINOv2 , or similar. Experience with real-time or low-latency processing , multi-threaded programming More ❯
london (city of london), south east england, united kingdom Astek International
performance. Requirements 5–7 years of experience in Computer Vision and Deep Learning with deployed production models. Strong proficiency in Python and PyTorch ; hands-on experience with OpenCV, TensorRT, ONNX, or Triton . Proven expertise in object detection/tracking models such as YOLO, Deep SORT, DINOv2 , or similar. Experience with real-time or low-latency processing , multi-threaded programming More ❯
City of London, London, United Kingdom algo1
during live shopping experiences. Build robust evaluation pipelines that ensure on-device implementations mirror the performance of offline systems. Integrate models with mobile inference backends such as TensorFlow Lite, ONNX Runtime Mobile, MediaPipe or custom native models. Build and manage real-time on-device data stores for low-latency context and lookup. Collaborate with Research Scientists and Research Engineers to … edge devices, ideally Android. Strong proficiency in Python and Java or Kotlin, with experience translating ML code between languages. Practical experience with mobile inference frameworks such as TensorFlow Lite, ONNX Runtime, or similar tools. Familiarity with GPU acceleration on mobile (e.g., GPU delegates, Vulkan) or ARM-based systems is a plus. A mindset that combines engineering rigour with startup adaptability More ❯
london (city of london), south east england, united kingdom algo1
during live shopping experiences. Build robust evaluation pipelines that ensure on-device implementations mirror the performance of offline systems. Integrate models with mobile inference backends such as TensorFlow Lite, ONNX Runtime Mobile, MediaPipe or custom native models. Build and manage real-time on-device data stores for low-latency context and lookup. Collaborate with Research Scientists and Research Engineers to … edge devices, ideally Android. Strong proficiency in Python and Java or Kotlin, with experience translating ML code between languages. Practical experience with mobile inference frameworks such as TensorFlow Lite, ONNX Runtime, or similar tools. Familiarity with GPU acceleration on mobile (e.g., GPU delegates, Vulkan) or ARM-based systems is a plus. A mindset that combines engineering rigour with startup adaptability More ❯
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