1 to 25 of 27 PyTorch Jobs in Cambridge

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 ❯

and the mathematics of machine learning. Understanding of machine learning best practices, scalable training and deployment, model evaluation, and introspection. Experience with frameworks like PyTorch, TensorFlow, or others. Strong software engineering skills in Python and/or C++. Experience with devops tools: version control, CI/CD, containerization, etc. Preferred More ❯

deep learning literature and math of machine learning. Knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation. Experience in PyTorch, Tensorflow, or other deep learning frameworks. Experienced/accomplished in software engineering with advanced skills in python and/or C++ Experience with devops stacks More ❯

evaluation. Solid understanding of software engineering practices, particularly in the context of ML development. Hands-on experience with Python and ML libraries such as PyTorch, TensorFlow, and Scikit-learn. Familiarity with tools like Git, Docker, and cloud platforms (e.g., AWS, GCP, Azure). Qualifications (Preferred for Senior Roles) Expertise in … opportunities employer. We are on the client's supplier list for this role. Keywords AI Research, Machine Learning Engineer, NLP, Computer Vision, Deep Learning, PyTorch, TensorFlow, LLMs, Transformers, GANs, Reinforcement Learning, Data Science, Python, Cambridge AI Jobs, Applied AI, Research Scientist, Artificial Intelligence, ML Research, AI Innovation More ❯

and VAE architectures. Experience with spatial and single-cell data modelling and their application to biological questions. Strong programming skills in Python, TensorFlow/PyTorch, and familiarity with AWS cloud infrastructure. Demonstrable track record of applying AI to solve complex biological challenges and translate outputs into biologically meaningful hypotheses. C 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 ❯

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 ❯

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 ❯

systems and LLMs. You’ll need: A strong educational background, with some focus on ML/Deep Learning Experience using machine learning frameworks like PyTorch or Tensorflow Experience training machine learning models for production applications A background in handling multi-Terabyte datasets On offer are great salary and benefits, as 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 ❯

or academic experience. Experience with one or more programming languages commonly used for large-scale data management and machine learning, such as Python, C++, Pytorch/Tensorflow, Pytorch Lightning etc. Previous experience with Machine Learning at scale: Large Language Models and Self-Supervised/Contrastive/Representation Learning for Computer More ❯

and hardware, developing innovative solutions, and collaborating with teams to build high-performance AI systems. Responsibilities: Your responsibilities involve working with major ML frameworks (PyTorch, TensorFlow, etc.) to port and develop ML networks, optimize and quantize models for efficient execution on Arm platforms, and help ensure multiple Arm products are … Required Skills and Experience: • A background in computer science, software engineering or other comparable skills • Experience training and debugging neural networks with TensorFlow and PyTorch using Python • Understanding, deploying, and optimizing Large Language Models (LLMs) and Generative AI algorithms. • Experience using software development platforms and continuous integration systems • Familiarity with … investigate are well understood and the critical areas needing improvement are understood Nice To Have Skills and Experience: • Experience of the inner workings of Pytorch, Tensorflow, Executorch and Tensorflow Lite • Experience of developing and maintaining CI/testing components to improve automation of model analysis • Good knowledge of Python for More ❯

independently, define goals and scope and lead your own development effort. KEY RESPONSIBILITIES: Optimize Deep Learning Frameworks: Enhance and optimize frameworks like TensorFlow and PyTorch for AMD GPUs in open-source repositories. Develop GPU Kernels: Create and optimize GPU kernels to maximize performance for specific AI operations. Develop & Optimize Models … Triton for multi-GPU and multi-platform performance. Deep Learning Integration: Proficient experienced in integrating optimized GPU performance into machine learning frameworks (e.g., TensorFlow, PyTorch) to accelerate model training and inference, with a focus on scaling and throughput. Software Engineering: Proficient skills in Python and C++, with experience in debugging More ❯

independently, define goals and scope and lead your own development effort. KEY RESPONSIBILITIES: Optimize Deep Learning Frameworks: Enhance and optimize frameworks like TensorFlow and PyTorch for AMD GPUs in open-source repositories. Develop GPU Kernels: Create and optimize GPU kernels to maximize performance for specific AI operations. Develop & Optimize Models … Triton for multi-GPU and multi-platform performance. Deep Learning Integration: Proficient experienced in integrating optimized GPU performance into machine learning frameworks (e.g., TensorFlow, PyTorch) to accelerate model training and inference, with a focus on scaling and throughput. Software Engineering: Proficient skills in Python and C++, with experience in debugging More ❯

days a week in the Cambridge office. This role focuses on maintaining and optimising the Linux operating system, file systems, and software stack (Cuda, PyTorch, Python etc) for machine learning projects as well as setting up and configuring NVIDIA HGX servers (installing and updating software, managing user access, and ensuring … Cloud environments, Experience with NVIDIA GPU technologies, such as NVLink, NVSwitch, and Tensor Core GPUs, Experience with machine learning frameworks and libraries, such as PyTorch and associated system optimisations, Experience with NAS servers, Experience with data version control systems. Benefits we offer: 23 days' holiday + all public holidays, rising More ❯