26 to 28 of 28 PyTorch Jobs in the City of London

variety of computer vision tasks , including detection, segmentation, and classification. Writing highly efficient, scalable, and production-ready code in Python using the PyTorch framework. Optimizing models for high-performance inference on diverse hardware using tools like NVIDIA TensorRT , OpenVINO , and ONNX . Managing and processing large-scale datasets and implementing … professional experience in Machine Learning Engineering or a similar role. Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch . Proven experience with computer vision and a strong understanding of model architectures like transformers and CNNs. Hands-on experience with model optimization (i.e. quantization, pruning ...

Learning Scientist Strong experience in research and development of computer vision machine learning models Experience implementing state-of-the-art deep learning models in PyTorch Experience training large models across multiple GPUs and compute nodes Deep understanding of machine learning theory including linear algebra, probability, statistics and optimisation Experience with … deep learning for computer vision, ideally including 3D imaging and or self-supervised learning Strong Python and PyTorch skills, with the ability to read and write high-quality training code Experience writing and maintaining production-grade Python code, including optimising training performance Experience working with modern development workflows including pull ...

Scaling: Collaborating with teleops teams to transform human trajectories into robust robotic skills through behavior cloning. High-Performance Engineering: Designing and profiling research-grade PyTorch/JAX code to support large-scale, distributed RL infrastructure. Essential Skills Needed Deep Learning Mastery: 5+ years building and shipping models, with deep hands … solutions. RL Expert: A proven track record of solving complex, real-world problems using Deep Reinforcement Learning. Technical Rigour: Mastery of Python and PyTorch/JAX, including the ability to profile performance and debug complex numerical stability issues. Robotics Foundation: Practical experience with simulators (Isaac Sim/MuJoCo ...