5 of 5 PyTorch Jobs in Cambridgeshire

an active role in open source communities. Excellent programming abilities with experience in relevant languages (Python, Rust, C++ and/or Go). Experience with relevant libraries/tools (PyTorch, Tensorflow, Neo4j) and/or AI accelerators (GPU, TPU) is a plus. Deep understanding of open source development processes (RFCs/proposals, GitHub pull requests) with demonstrable contributions to open More ❯

e.g. Flask) Frontend (e.g. React) and backend (e.g. Node.js) development Machine Learning & Artificial Intelligence Machine Learning (General concepts, model development, experimentation, training, evaluation) Deep Learning (General, frameworks like TensorFlow, PyTorch, JAX, Keras, neural networks, CNNs, RNNs, transformer architecture, LSTM) Natural Language Processing (NLP) Reinforcement Learning (e.g., PPO, Q-learning, policy gradients, A2C, DQN, AlphaZero) Computer Vision (e.g., image processing, analysis More ❯

e.g. Flask) Frontend (e.g. React) and backend (e.g. Node.js) development Machine Learning & Artificial Intelligence Machine Learning (General concepts, model development, experimentation, training, evaluation) Deep Learning (General, frameworks like TensorFlow, PyTorch, JAX, Keras, neural networks, CNNs, RNNs, transformer architecture, LSTM) Natural Language Processing (NLP) Reinforcement Learning (e.g., PPO, Q-learning, policy gradients, A2C, DQN, AlphaZero) Computer Vision (e.g., image processing, analysis More ❯

information rich tools in a user-friendly way Understanding and use of GenAI technologies in a secure software development lifecycle Experience with machine learning frameworks such as Tensorflow or PyTorch Experience with working in a Linux environment Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin More ❯

have: A 2:1 or above degree in Maths, Physics, Engineering, Computer Science or a similar subject. Strong Python programming skills. Hands-on experience with frameworks such as TensorFlow, PyTorch, or JAX. Experience building ML solutions for novel, edge, or resource-constrained environments. Familiarity with a variety of ML techniques (eg, computer vision, audio, generative models). Knowledge of GPU More ❯