1 to 25 of 45 PyTorch Jobs in Cambridgeshire

Extensive prior experience exploring and testing large language model behaviour, prompting and building products with language models. Expert knowledge of Python and advanced ML/LLM frameworks (e.g., TensorFlow, PyTorch, LangChain, LlamaIndex, etc). Deep understanding of agentic AI concepts and frameworks (e.g., agentic design patterns, multi-agent systems, reinforcement learning) and their applications in healthcare. Previous experience of training More ❯

supporting interfaces for interaction with the models Testing and documentation Requirements: Experienced Python developer Experience utilising machine learning libraries such as (in order of importance) TensorFlow, HuggingFace, scikit-learn, PyTorch, Pandas, NumPy, SciPy Experience with AWS (principally EC2, S3, SageMaker) or Azure/GCP equivalents Some experience of designing, developing and deploying scalable infrastructure (eg Apache Airflow, Luigi or other More ❯

Qualifications: Master’s or PhD degree in a quantitative field (e.g., Computer Science, Machine Learning, Statistics, Physics, Mathematics) or equivalent industry experience. Strong background in deep learning frameworks (e.g., PyTorch, TensorFlow, JAX). Experience with distributed computing platforms (AWS, GCP, Azure, or on-prem clusters). Ideal: Kubernetes and Docker experience for scalable, reproducible workflows. Working at Lila Sciences, you More ❯

Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to you) Keep training material More ❯

Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to you) Keep training material More ❯

tuning small and large supervised models in a Bayesian Optimization context (Gaussian processes, Bayesian Neural Networks) on small and large datasets. Strong experience in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in Python data science ecosystem (Numpy, SciPy, Pandas, etc.) Experience using a cloud computing service to reduce runtime to train and evaluate deep More ❯

in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real-time and embedded audio processing techniques. Experience working with generative AI models for audio synthesis and transformation. Strong problem-solving skills with the ability to More ❯

in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real-time and embedded audio processing techniques. Experience working with generative AI models for audio synthesis and transformation. Strong problem-solving skills with the ability to More ❯

vision, bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning; Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar; Experience with multi-GPU and distributed training at scale; A team player who thrives in collaborative environments and is committed to enabling colleagues to reach their … mathematics, statistics, physics, or computational biology, or equivalent experience; Experience in developing machine learning models; Very strong programming skills, including experience with Python and deep learning libraries such as PyTorch or JAX; Experience in large-scale distributed optimization of machine learning models across multiple GPUs and nodes. Preferred Qualifications - Familiarity with biological data formats, concepts, and computational models; Experience in More ❯

an active role in open source communities. Requirements 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 ❯

skills, including handling of large data sets, modelling and evaluation Good understanding of software engineering concepts, particularly with machine learning development Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published work within, related academic fields such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable More ❯

Social network you want to login/join with: For over 20 years, Abcam has been providing tools the scientific community needs to enable faster breakthroughs in critical areas like cancer, neurological disorders, infectious diseases, and metabolic disorders. We believe More ❯

industry or postdoctoral experience in machine learning Experience with patents or publications at top-tier peer-reviewed conferences or journals Experience with popular deep learning frameworks such as MxNet, PyTorch, or TensorFlow Experience in building large-scale machine learning systems Proficiency in state-of-the-art Natural Language Processing (NLP) and Computer Vision (CV) deep learning models Our inclusive culture More ❯

Bioinformatics, Computer Science, or a related technical field (MSc with significant experience also considered). Extensive experience in designing, training, debugging, and evaluating machine learning models using frameworks like PyTorch, TensorFlow, or JAX. Strong foundation in mathematics and statistics, including linear algebra, probability, and optimization. Excellent scientific writing and communication skills. Preferred Qualifications Experience in computational biology, genomics, or drug More ❯

Profile Essential skills: Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python software development skills (nice to have C other languages). Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting More ❯

solving skills, a proactive approach, and a keen understanding of software engineering best practices are essential. 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: Design and optimize deep learning … like Compute Kernel (CK), CUTLASS, and Triton for multi-GPU and multi-platform performance. Deep Learning Integration: 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: Skilled in Python and C++, with experience in debugging, performance tuning, and test design to More ❯

field; or equivalent research experience in industry or academia. Open to applicants across a range of seniority levels with relevant expertise. Core Skills: Proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX. Experience in efficient ML techniques (e.g., quantization, pruning, sparsity, distillation). Practical knowledge of AI deployment on embedded/mobile platforms, including CPUs, GPUs, and NPUs. Hands More ❯

models on GPUs , including transformer 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 ompetencies and Behaviours A team More ❯

Experience in applying machine learning techniques to life science applications and datasets. Strong data processing and analysis skills. Confident coding in python and using common libraries (numpy, pandas, sklearn, pytorch/tensorflow, etc.) Experience building robust ML and data science pipelines. Experience with git version control, with familiarity of different branching and merging strategies. Compensation & Benefits At Insmed, we're More ❯

research Requirements: PhD or equivalent 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 design Familiarity with JAX and optimization frameworks Why Join Us: Work More ❯

equivalent in a technical discipline (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 chemistry is a plus. Why More ❯

with RAG (retrieval-augmented generation) and GraphRAG a big plus Experience with building and deploying software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The salary range for Cambridge, UK: - Senior Scientist I, Computational Biology More ❯

in CS/EE or 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, GPU, NPU) Experience with distributed More ❯

Computer Science or relevant experience in industry (PhD would be a plus!). Experience in the development of ML/AI applications using state-of-the-art toolchains, i.e. Pytorch, TensorFlow (Plus!). Familiarity with Cybersecurity: TARA, Attack Trees, HSM architectures. Exposure and familiarity with Reliability technologies, methodologies, and standards applied to SoCs, i.e. RAS, Predictive Maintenance, BFR, HTOL, HAST More ❯

others to succeed. "Nice To Have": Experience in Cybersecurity technology projects (Plus!). Experience in the development of ML/AI applications using state-of-the-art toolchains, i.e. Pytorch, TensorFlow (Plus!). Experience with HW and SW Architecture Modelling. Model-Based System Engineering, ISO 15288, MagicGrid Framework, SysML 2.0 (Plus!). Exposure and familiarity with Reliability methodologies. Knowledge of More ❯