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 ❯
Science, a related technical field, or equivalent practical experience. 6 years of experience with machine learning model development and deployment, frameworks (e.g., PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g., TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), and using machine learning Application Programming Interface (APIs). 6 years of More ❯
and deploying GenAI models and applications on cloud infrastructure. Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet. Knowledge of MLOps tools and workflows for model development, validation, and deployment. High level of communicating effectively across internal and external organizations, with More ❯
and deploying GenAI models and applications on cloud infrastructure. - Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet. - Knowledge of MLOps tools and workflows for model development, validation, and deployment. - High level of communicating effectively across internal and external organizations, with More ❯
collaborating across functions, especially with engineering, hardware, and system design teams Solid programming and prototyping skills using modern deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) Location: London (hybrid, with 4 days onsite and flexible hours) This is a high-impact role for someone who thrives on building ambitious technology in More ❯
london, south east england, united kingdom Hybrid / WFH Options
Acquired Talent Ltd
collaborating across functions, especially with engineering, hardware, and system design teams Solid programming and prototyping skills using modern deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) Location: London (hybrid, with 4 days onsite and flexible hours) This is a high-impact role for someone who thrives on building ambitious technology in 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 ❯
field. You may be a good fit if you have: Extremely strong software engineering skills. Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR. Experience with distributed training infrastructures (Kubernetes, Slurm) and associated frameworks (Ray). Experience using large-scale distributed training strategies. Hands More ❯
Data Scientist, AWS Generative AI Innovation Center Job ID: Amazon Web Services EMEA Dubai FZ Branch - Q29 Amazon launched the Generative AI Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate the use of generative AI to solve More ❯
Rejuvenate Biomed is a clinical-stage biotechnology company based in Diepenbeek, Belgium. Our mission is to discover and develop therapeutics to delay the onset or progression of age-related diseases. We are looking for an experienced and innovative Senior AI More ❯
As a Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. Working closely with the Software development and Research teams, you More ❯
Snapshot Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We More ❯
Machine Learning Researcher | Deep Learning | Graph Neural Networks | Python | PyTorch About Us We are a growing techbio start-up based in London, UK, developing advanced AI technologies for drug discovery, and backed by leading European and US DeepTech venture capital More ❯
Machine Learning Researcher | Deep Learning | Graph Neural Networks | Python | PyTorch About Us We are a growing techbio start-up based in London, UK, developing advanced AI technologies for drug discovery, and backed by leading European and US DeepTech venture capital More ❯
AI Research Engineer (Remote) A leading defence tech startup building AI and software for autonomous systems is seeking an AI Research Engineer to join their remote team. This role, managed by a third-party recruitment agency, offers the chance to More ❯
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 ❯
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 ❯
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 ❯
Machine Learning Engineer | Research Platform: We are a tier 1 supplier for a well-known buy-side quant firm on the lookout for a Machine Learning Engineer (£475,000-£515,000) who is happy to work at the interface of More ❯
