1 to 25 of 32 PyTorch Jobs in Cambridgeshire

with video, audio, TV, or edge-device environments, especially where latency, cost, and hardware constraints matter. Familiarity with ML/DL frameworks such as PyTorch or TensorFlow. Research experience, paper implementation experience, or a habit of applying emerging GenAI techniques pragmatically to real problems. What's Roku's approach ...

based decision-making trade-offs made, unsuitable approaches rejected, risks identified and commercially credible solutions developed. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (e.g., Azure AI, AWS SageMaker, Google Cloud AI) Experience with Private cloud platforms (HPE Private AI, Nvidia AI Enterprise ...

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 ...

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 or C++ software development skills. Expertise in deep learning from model training to optimisation and evaluation. Experience in distributed training ...

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 or C++ software development skills Expertise in deep learning from model training to optimisation and evaluation. Capable of designing, executing ...

solid system design, integration, data, CI/CD, observability, security, and cloud‐native practices. Strong Python skills and experience with frameworks such as PyTorch, TensorFlow, scikit-learn, LangChain, LangGraph, or similar. Experience with LLM and agentic patterns, including retrieval, orchestration, tool use, evaluation, guardrails, and governed production deployment. Solid understanding ...

inference (e.g., dynamic batching, flash attention, speculative decoding) Proven track record of developing and deploying models at scale Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes) With preferred backgrounds covering some ...

research experience in Machine Learning (industry, PhD, MSc or personal projects).Strong Python programming skills. Experience with one or more ML frameworks such as PyTorch, TensorFlow, Keras or JAX.Strong analytical, problem-solving and communication skills. The company are rapidly expanding and are at the forefront of their industry. They ...

following: Python, R, or Julia. Hands-on experience using data science and machine learning libraries such as Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, Keras, or equivalent. Experience working with Next Generation Sequencing (NGS), OMICS datasets, or other large-scale biological data. Knowledge of variant calling, exome sequencing, whole genome sequencing ...

related field. Experience with machine learning for speech recognition, machine translation, NLP or speech synthesis. Hands-on experience with deep learning toolkits such as PyTorch, JAX or TensorFlow. Preferred Qualifications Research or product experience in speech-to-speech or speech-to-text translation, especially end-to-end, streaming or simultaneous ...

. Solid grounding in machine learning/deep-learning fundamentals — you can build, train, and debug neural networks from scratch in a modern framework (PyTorch, JAX, or similar). Demonstrable hands-on experience: research projects, publications, internships, open-source, or production work. Comfortable reading ML papers and reimplementing them. ...

C++, Rust, assembly or CUDA). A history of direct contributions to vLLM or similar high-performance open-source ML/AI projects (e.g. PyTorch, Hugging Face TGI, TensorRT-LLM, Ray). Strong understanding of LLM inference mechanics (e.g. KV caching, continuous batching, memory management, model quantisation). Experience interacting ...

Strong programming skills in Python. An in-depth understanding of the deep learning approaches and working experience with machine learning framework/packages (e.g, PyTorch). Desired: Background knowledge of video compression techniques and standards such as HEVC. Familiarity with GPU programming such as CUDA. Knowledge of vision science, e.g. ...

physics or computer science and have significant skills and experience in the following areas: - Expert Python proficiency for data analysis and prototyping (NumPy, SciPy, PyTorch). - Demonstrable applied experience of digital signal processing (FFT, modulation, noise modelling, resampling). - Experience with SDR frameworks (GNU Radio, SDRangel, SoapySDR). - Understanding ...

familiarity with product design processes is a strong plus. Familiarity with CAD and/or CAE Familiarity with ML and common libraries (scikit-learn, PyTorch, Tensorflow...) Experience with agentic AI orchestration What You Get Work with a world-class technology team - our engineers are top-notch, and we always ...

programming environments such as CUDA, ROCm, OpenCL or CANN/Ascend. Experience with AI frameworks or inference/serving systems such as PyTorch, vLLM, SGLang, ONNX Runtime, or similar systems. Experience with profiling and performance-analysis tools for CPUs, GPUs or NPUs. Knowledge of multi-device or distributed execution, collective ...

multi-disciplinary environment. Depth in at least one of: protein structure and complex prediction, docking or generative molecular design. Strong hands‐on experience with PyTorch and the scientific Python ecosystem. Experience contributing to and maintaining deep‐learning codebases, with a high bar for engineering quality, reproducibility and testing. The judgement ...

multi-disciplinary environment. Depth in at least one of: protein structure and complex prediction, docking or generative molecular design. Strong hands-on experience with PyTorch and the scientific Python ecosystem. Experience contributing to and maintaining deep-learning codebases, with a high bar for engineering quality, reproducibility and testing. The judgement ...

engine programming. Experience with hardware/software co-design, or with hardware performance modelling and simulation. Contributions to performance-critical open-source projects (e.g. PyTorch, Triton, JAX, vLLM). A collaborative and supportive work environment The opportunity to have a high impact in a growing organisation Competitive salary package ...

tools, such as ArcGIS or ArcPro, and GEOINT collection systems, and with Grafana, Power BI, or Tableau Experience with deep learning frameworks, such as PyTorch or TensorFlow, and modern AI patterns such as retrieval-augmented generation ( RAG ) for analytic workflows Experience supporting CCMDs, service components, or spe cia l operations … tools, such as ArcGIS or ArcPro, and GEOINT collection systems, and with Grafana, Power BI, or Tableau Experience with deep learning frameworks, such as PyTorch or TensorFlow, and modern AI patterns such as retrieval-augmented generation ( RAG ) for analytic workflows Experience supporting CCMDs, service components, or spe cia l operations ...

might be used, governed or assured in a regulated industry, ideally financial services (for example model risk, AI governance or controls). Experience with PyTorch or other similar frameworks. Enough technical depth to engage credibly with ML researchers and understand the problems the programme needs to solve, without needing ...

functional teams. Excellent communications skills both written and verbal “Nice To Have” Skills and Experience: Experience with AI/ML frameworks such as TensorFlow, PyTorch, ONNX, or inference runtimes. System bring-up and JTAG debugging expertise Good background of system performance analysis Experience with RTL simulation tools and software development ...

demonstrate: Proven product management in development tools and software including CLIs, SDKs and APIs. Knowledge of machine learning frameworks, runtimes, infrastructure such as PyTorch, ONNX, ExecuTorch, Llama.cpp, vLLM and LiteRT. Understanding of model deployment to edge, embedded or heterogeneous computing, with an understanding of trade-offs between accuracy, performance ...

large-scale python codebases Familiarity with the python ecosystem: both the standard library and popular open source libraries such as Flask, Requests, NumPy or PyTorch Understanding of software development best practices and architecture, particularly of web-hosted platforms composed of applications with underlying services Ability to provide, or desire ...

looking for Substantial hands-on experience in world models, video representation learning, predictive modelling or closely related robot-learning research. Strong Python and PyTorch skills, with personal ownership of model training and evaluation. A strong foundation in computer vision, deep learning and temporal or sequential modelling. Evidence of rigorous experimentation ...