16 of 16 Deep Learning Jobs in the East of England

Senior Research Engineer - AI/Deep Learning/LLM/Python Our client's research team applies AI to the design and optimisation of semiconductors, alongside fundamental research that supports both internal applications and the broader scientific community. Current areas of interest include large language models, optimisation methods … deep learning, reinforcement learning and generative models. This is a permanent role, working 100% onsite in either London or Cambridge What you will be doing Leading engineering efforts on complex research projects in machine learning and AI Optimising algorithms and ensuring the scalability and robustness ...

develop algorithms and optimizations for our LPX inference and compiler stack. You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future NVIDIA platforms. This is your chance to be part of something outstandingly innovative! What … including IR design, optimization passes, or code generation. Experience with LLVM and/or MLIR, including building custom passes, dialects, or integrations. Familiarity with deep learning frameworks such as TensorFlow and PyTorch, and experience working with portable graph formats such as ONNX. Solid understanding of parallel and heterogeneous ...

user PCs/Apple Macs to Unix equipment, eg remote desktops and file shares. To advise and assist users in the use of deep learning to analyse large datasets, including training and inference with computer vision or LLMs. To provide other general technical assistance as required, for example … staff and the Head of Scientific Computing, to propose, develop, implement, test, upgrade and maintain hardware and software solutions, especially those with application of deep learning to large datasets. To research, develop and maintain the Institute's High Performance Computer (HPC) cluster and multi-petabyte data storage systems ...

from collection systems and APIs, schema design and data storage, transformation/ETL, model training and evaluation, and operational delivery. Develop statistical and machine learning models for entity resolution, anomaly detection, classification, clustering, and pattern-of-life analysis across multi-INT datasets. Build dashboards and lightweight applications that communicate … Experience with geospatial analysis 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 ...

science team. The insurance industry is evolving in an age of rapid technological development, and as an organisation Aviva are investing in strengthening machine learning and analytics as a distinctive capability. The team is recognised as a centre of excellence in our Global Data Science Department – providing new data … experience we’re looking for: A track record of solving complex non-routine problems with expertise in some of the following areas: Statistics, Machine Learning, Deep Learning & AI. Excellent communication and stakeholder management skills - able to communicate complex ideas in an understandable way often to non-specialists. ...

looking for a Machine Learning Engineer/AI Research Engineer to join our small core team. This is a hands-on role sitting at the intersection of modern machine learning and quantum computing — with two complementary directions. ML for quantum — using neural networks and learning-based methods … Achievements get rewarded. What we're looking for Strong Python, with good software-engineering habits (Git, testing, reproducible experiments). 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 ...

user happiness in their search journey. Solving this customer problem is why we're actively looking for a Senior Machine Learning Engineer, Search & Recommendations to drive further innovation in search and discovery. The person in this role will leverage their technical skills, business intuition, and analytical thinking to build … codebase with an agent helping you. What are the responsibilities of the role? Apply state of the art ML on search using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimisations to make our users more delighted and engaged on the platformRun online AB tests ...

scientific manner Data science 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 impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning, etc.) Master’s degree or Postgraduate (preferred) qualification from ...

Machine Learning Software Engineer (KTP Associate) Working with a large, complex and highly varied dataset drawn from an ERP system that was never designed with machine learning in mind. Making sense of the data, shaping it into something usable and building reliable models on top of it. Resource … They may be changed from time to time to meet changing circumstances. Experience, Skills and Education Qualifications/Training MSc in Data Science, Machine Learning, or similar Experience/Knowledge Knowledge/experience of computational/artificial intelligence Understanding of UI centred product design, as well as data extraction ...

reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Required: PhD in Computer Science, Machine Learning, or a related field, with 2+ years of relevant industry or post-PhD research experience or Master in related field, with 5+ years … experience in these topics. Knowledge of human-inspired image/video quality metrics. 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 ...

technologies when needed. - Experience with hardware devices or sensors. Any experience with embedded systems, mobile OS or computer networking would be beneficial. - Experience with deep-learning frameworks (TensorFlow or PyTorch) would be desirable. - Exposure to computational statistics, algorithm development or machine learning optimisation would be a bonus. … develop your skills and knowledge with like-minded engineers. Keywords : Python, PyTorch, TensorFlow, Sensors, Embedded Systems, Hardware Interface, Mobile OS, Algorithms, Statistics, Machine Learning, Defence, Security Clearance, Start Up Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact ...

behaviour Optimisation of code running on GPUs and/or other accelerators (e.g. CUDA) Solid understanding of computer architecture fundamentals and how LLMs and Deep Learning models execute on that hardware (inference vs. training, matrix multiplication, KV-caching, etc.) Proficiency with profiling tools (NVIDIA Nsight, PyTorch Profiler … Pandas, NumPy) and scripting The following are also highly valued: Post-graduate degrees and research experience in relevant fields (please list your publications). Deep understanding of inference serving frameworks (e.g. vLLM) Background in statistical analysis Contributions to open source and/or research projects Benefits A collaborative ...

recent master's graduates with directly relevant coursework will also be considered A genuine, demonstrated grasp of computer architecture fundamentals and how LLMs and deep learning models actually run on hardware, training versus inference, matrix multiplication, KV-caching Real experience building performance models or forecasting tools, Python ...

researchers and engineers. The role requires a PhD or equivalent with strong publications or industry experience in 3D/4D reconstruction, Gaussian splatting, and deep learning using PyTorch. #J-18808-Ljbffr ...

accelerate discovery! About Turbine Turbine is building Virtual Assays—AI-powered predictive models that can run biological experiments in silico. We're combining deep learning with a systematic approach to biology to enable faster, cheaper, more extensive testing. Our team is small, focused, and composed of researchers … intersection of AI, biology, and product; you don't need to be a computational biologist, but you must be curious and capable of learning the domain Nice to Have Prior experience scaling AI teams or shipping AI products in regulated industries Exposure to or understanding of biological assays, phenotyping ...

cluster and petabyte-scale storage, supporting neurobiology research from molecules to organisms. You will install, upgrade and document systems, assist users with deep learning workflows, and lead infrastructure projects in collaboration with the Head of Scientific Computing. #J-18808-Ljbffr ...