3 of 3 ONNX Jobs in the City of London

conferences (e.g., NeurIPS, CVPR, ICML, ICLR, SIGGRAPH, ECCV). Experience with GPU programming (CUDA) and model optimization for real-time inference (e.g., quantization, pruning, ONNX, TensorRT, custom CUDA kernels). Background in scalable algorithm design for real-time or interactive applications. Experience integrating machine learning models with complex production pipelines More ❯

synthetic data generation and domain adaptation techniques Contributions to open-source ML/CV projects Experience working with mobile ML frameworks (e.g. Core ML, ONNX, TFLite More ❯

Experience building simple desktop applications using Wails, Electron, or Tauri. Familiarity with edge/fog computing principles. Familiarity with ML frameworks (e.g., Gorgonia, TensorFlow, ONNX) or prior exposure to integrating pre-trained models via API or runtime interfaces. Practical experience or strong knowledge of IoT and robotics is advantageous. Benefits More ❯