experience in academia or industry • We will consider various levels of experience in relevant research areas Key Skills: • Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantization, pruning, sparsification, distillation, etc.) • Experience with deployment on embedded/mobile devices (such as smartphones, with mobile CPU, GPU, NPU More ❯
machine learning, including deep learning and/or generative models. A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: Machine Learning/Drug Discovery/Computational Chemistry/Structural Biology/AI Techniques/Protein-Ligand Interaction/Molecular Modelling/ More ❯
learning, including deep learning and/or generative models. 3. A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: Machine Learning/Drug Discovery/Computational Chemistry/Structural Biology/AI Techniques/Protein-Ligand Interaction/Molecular Modelling/ More ❯
learning, including deep learning and/or generative models. 3. A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: Machine Learning/Drug Discovery/Computational Chemistry/Structural Biology/AI Techniques/Protein-Ligand Interaction/Molecular Modelling/ More ❯
Key responsibilities: Develop cutting-edge simulation frameworks and AI infrastructure. Optimize ML models using techniques like quantization and pruning. Leverage GPU power (CUDA, Python, Jax) for accelerated training. Qualifications: Expertise in Python/C++ and deep learning (PyTorch). Experience building Deep Reinforcement Learning Models. Experience with Robotics and/ More ❯
Key responsibilities: Develop cutting-edge simulation frameworks and AI infrastructure. Optimize ML models using techniques like quantization and pruning. Leverage GPU power (CUDA, Python, Jax) for accelerated training. Qualifications: Expertise in Python/C++ and deep learning (PyTorch). Experience building Deep Reinforcement Learning Models. Experience with Robotics and/ More ❯
Key responsibilities: Develop cutting-edge simulation frameworks and AI infrastructure. Optimize ML models using techniques like quantization and pruning. Leverage GPU power (CUDA, Python, Jax) for accelerated training. Qualifications: Expertise in Python/C++ and deep learning (PyTorch). Experience building Deep Reinforcement Learning Models. Experience with Robotics and/ More ❯
Cambridge, Cambridgeshire, Staines, Surrey, United Kingdom
Redline Group Ltd
Machine Learning Researcher - LLM/VLM Are you a PhD-educated Machine Learning Researcher looking for a new opportunity? If so, our client, a global consumer electronics company, is actively expanding their team. This role is based at one of More ❯
