1 to 25 of 31 Permanent PyTorch Jobs in Cambridgeshire

learning, probabilistic modeling, and/or NLP. Proficiency in programming languages such as Python, R, or Julia, with experience using ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with biological datasets such as genomic, transcriptomic, proteomic, or imaging data. Experience working with large-scale datasets and cloud computing platforms More ❯

in applied machine learning, especially deep learning, NLP, generative AI. Proven track record of impactful AI solutions. Experience with large language models, Python, TensorFlow, PyTorch, LangChain, LlamaIndex. Knowledge of agentic AI frameworks, reinforcement learning, and healthcare applications. Hands-on experience with AWS services and ML deployment practices. Excellent communication and More ❯

documentation • Co-author papers for submission to high-impact medical journals. Essential Requirements • Experience in developing computer vision models • Strong proficiency in Python and PyTorch • Ability to work independently and collaboratively in multidisciplinary teams Desirable Qualifications • Master’s or PhD in a related field or equivalent experience • Experience in image More ❯

documentation • Co-author papers for submission to high-impact medical journals. Essential Requirements • Experience in developing computer vision models • Strong proficiency in Python and PyTorch • Ability to work independently and collaboratively in multidisciplinary teams Desirable Qualifications • Master’s or PhD in a related field or equivalent experience • Experience in image More ❯

documentation • Co-author papers for submission to high-impact medical journals. Essential Requirements • Experience in developing computer vision models • Strong proficiency in Python and PyTorch • Ability to work independently and collaboratively in multidisciplinary teams Desirable Qualifications • Master’s or PhD in a related field or equivalent experience • Experience in image More ❯

AI methods and optimization of machine learning models. Proficiency in programming languages such as Python, R, C++, or Java, and with AI frameworks including PyTorch, and OpenCV. Extensive experience with traditional and modern computer vision techniques, including object detection (YOLO, SSD, Faster R-CNN), image segmentation (U-Net, Mask R More ❯

for an experienced and talented Senior AI Scientist. Experience Required: Deep Learning experience, preferably with LLMs & NLP. Strong knowledge and experience with Python/Pytorch, Tensorflow and other data science libraries. Experienced with cloud platforms, e.g AWS or GCP is considered a plus. The role is hybrid in Cambridge, UK More ❯

Researcher role, you must have: A PhD in Natural Language Processing, AI, Electrical Engineering, or a related field. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Strong programming skills in C++, C, or Python. Experience working with embedded or mobile devices. Ideally, 2+ years of industry experience post More ❯

experience in ML, AI, CS, physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow)Solid grasp of ML techniques; independent and team-oriented mindset Preferred : Experience in LLMs, reinforcement learning, or chip designFamiliarity with JAX and optimization frameworks More ❯

e.g., computer science, chemistry, physics, engineering). Strong background in machine learning, including deep learning and generative models. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Proficiency in Python and C++, with a collaborative mindset. Familiarity with protein structure modeling, co-folding, or related methods; knowledge of organic More ❯

and scale. This role involves working with a wide range of infrastructures, languages, and technologies such as Linux, Windows, AWS, Python, Rust, Node, and PyTorch, and you will be driven to learn more as required. In this machine learning-focused role, you will also be curating datasets and working with More ❯

speed and scale. This role involves working with a wide range of infrastructures, languages and technologies such as Linux, Windows, AWS, Python, Rust, Node, PyTorch and you will be driven to learn more as required. What experience do I need: We welcome applications from engineers with strong problem-solving and More ❯

speed and scale. This role involves working with a wide range of infrastructures, languages and technologies such as Linux, Windows, AWS, Python, Rust, Node, PyTorch and you will be driven to learn more as required. In this machine learning focused role you will also be curating datasets and working with More ❯

for the Machine Learning Engineer job: MSc/PhD in a relevant field with strong ML/deep learning foundations Hands-on experience with PyTorch or TensorFlow Expertise in model training at scale and GPU systems Knowledge of model compression and optimization techniques A background in speech recognition would be More ❯

for the Machine Learning Engineer job: MSc/PhD in a relevant field with strong ML/deep learning foundations Hands-on experience with PyTorch or TensorFlow Expertise in model training at scale and GPU systems Knowledge of model compression and optimization techniques A background in speech recognition would be More ❯

for the Machine Learning Engineer job: MSc/PhD in a relevant field with strong ML/deep learning foundations Hands-on experience with PyTorch or TensorFlow Expertise in model training at scale and GPU systems Knowledge of model compression and optimization techniques A background in speech recognition would be More ❯

related research 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 More ❯

industry experience in 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/ More ❯

and scale. This role involves working with a wide range of infrastructures, languages, and technologies such as Linux, Windows, AWS, Python, Rust, Node, and PyTorch, and you will be driven to learn more as required. What experience do I need: We welcome applications from engineers with strong problem-solving and More ❯

ML methods (e.g., generative models, GNNs, active learning, foundation models) in a scientific context. Strong coding skills and experience with relevant ML frameworks (e.g., PyTorch, TensorFlow, JAX) and chemistry toolkits (e.g., RDKit). Deep understanding of molecular representation techniques and their application in modeling. Experience in designing and implementing robust More ❯

ML methods (e.g., generative models, GNNs, active learning, foundation models)in a scientific context.- Strong coding skills and experience with relevant ML frameworks(e.g., PyTorch, TensorFlow, JAX) and chemistry toolkits (e.g., RDKit).- Deep understanding of molecular representation techniques and their application in modeling.- Experience in designing and implementing robust More ❯

research and development projects from initial concept through to integration into production software. You will work extensively with Python and AI frameworks such as PyTorch and TensorFlow to develop and train models for image segmentation, feature extraction, registration, and lesion identification within cloud environments. Your role will also involve supporting … learning or deep learning, including at least 2 years in image processing (ideally medical imaging). Proficiency in Python and ML/DL frameworks (PyTorch or TensorFlow). Strong theoretical and practical understanding of ML/DL techniques, demonstrated by academic or professional projects. Experience with Git, Linux, and command More ❯

research and development projects from initial concept through to integration into production software. You will work extensively with Python and AI frameworks such as PyTorch and TensorFlow to develop and train models for image segmentation, feature extraction, registration, and lesion identification within cloud environments. Your role will also involve supporting … learning or deep learning, including at least 2 years in image processing (ideally medical imaging). Proficiency in Python and ML/DL frameworks (PyTorch or TensorFlow). Strong theoretical and practical understanding of ML/DL techniques, demonstrated by academic or professional projects. Experience with Git, Linux, and command More ❯

research and development projects from initial concept through to integration into production software. You will work extensively with Python and AI frameworks such as PyTorch and TensorFlow to develop and train models for image segmentation, feature extraction, registration, and lesion identification within cloud environments. Your role will also involve supporting … learning or deep learning, including at least 2 years in image processing (ideally medical imaging). Proficiency in Python and ML/DL frameworks (PyTorch or TensorFlow). Strong theoretical and practical understanding of ML/DL techniques, demonstrated by academic or professional projects. Experience with Git, Linux, and command More ❯

research and development projects from initial concept through to integration into production software. You will work extensively with Python and AI frameworks such as PyTorch and TensorFlow to develop and train models for image segmentation, feature extraction, registration, and lesion identification within cloud environments. Your role will also involve supporting … learning or deep learning, including at least 2 years in image processing (ideally medical imaging). Proficiency in Python and ML/DL frameworks (PyTorch or TensorFlow). Strong theoretical and practical understanding of ML/DL techniques, demonstrated by academic or professional projects. Experience with Git, Linux, and command More ❯