1 to 25 of 50 Remote/Hybrid Neural Network Jobs in England

solve business problems using big data architectures (Hadoop, Spark, Cloud). In this role, your primary modelling focus will be neural network‐based forecasting, with a strong emphasis on rigorous evaluation against robust baselines, careful validation, and scalable deployment. Our Data Scientists must be able to validate … industrial work involving deep learning or related machine learning techniques for time series forecasting is required. This includes experience with neural network architectures for forecasting (for example sequence models, temporal convolutional approaches, transformer‐style models, or related methods). Experience with probabilistic forecasting, hierarchical forecasting, or representation ...

responsible for: Designing and developing CV/ML/AI models (predictive, classification, recommendation, LLM-based), Selecting and optimizing algorithms (regression, tree-based, neural networks, etc.), Integrating models into production environments, Performing data cleaning, feature engineering, and model validation, Collaborating with clients and internal teams to translate analytical ...

bots don’t know yet). You’ll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It’s all live lectures, tutor-led group work ...

Machine Learning Engineer - Spiking Neural NetworksSalary: 75,000 to 100,000Location: West LondonWorking arrangement: Predominantly office and customer-site based, with some … remote working availableEmployment: Permanent, full-timeMFK Recruitment is seeking a specialist Machine Learning Engineer to help develop an engineering-grade Spiking Neural Network engine for practical machine vision applications. Our client develops advanced AI and Machine Learning technology for defence, security and other demanding operational environments. ...

Machine Learning Engineer - Spiking Neural Networks Salary: £75,000 to £100,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working … available Employment: Permanent, full-time MFK Recruitment is seeking a specialist Machine Learning Engineer to help develop an engineering-grade Spiking Neural Network engine for practical machine vision applications. Our client develops advanced AI and Machine Learning technology for defence, security and other demanding operational environments. ...

plane-fitting (e.g., RANSAC, PnP) to achieve sub-centimetre overlay accuracy and eliminate tracking drift. Translate research papers into real-time algorithms, optimising neural networks and spatial pipelines for low-latency execution on mobile NPUs, DSPs, and GPUs. Build spatial foundations that deliver seamless on-device AR experiences ...

scalable algorithmic solutions to hard problems from the ground up Strong Machine Learning and Statistics knowledge; both in classical models and neural-network-style models Strong Software Engineering fundamentals Enthusiasm to learn and contribute to a culture of learning Advantageous - PhD (in a highly quantitative field) What ...

team at Synoptix. The technology team specialises in applying AI to solve challenges within complex systems, with expertise spanning object detection, neural network resilience, AI assurance, and the development of synthetic data. Through bespoke research and development programmes the team delivers high-grade AI systems and services ...

other leading platforms. Data Science Expertise: Knowledge of data science fundamentals, solution lifecycles, and MLOps methodology. Generative AI Knowledge: Experience with LLMs, neural networks, and recommendation systems. Frameworks: TensorFlow, PyTorch, Hugging Face, OpenAI tools. Certifications: Cloud or AI architecture certifications are a plus. About SDG Group ...

large-scale AI research projects Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research View research and engineering as two sides of the same coin, and seek ...

applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ...

trade sports markets. Strong Python skills, including NumPy, pandas, SciPy and scikit-learn, plus solid SQL. Hands-on experience with machine learning and neural networks using TensorFlow/Keras or PyTorch. Strong understanding of probability, statistical modelling and model calibration. Practical understanding of betting markets, odds, overround, liquidity ...

senior client audiences Nice-to-have: Experience shaping proposals, statements of work, roadmaps or discovery phases within a consultancy setting Experience building neural networks, transformers, LLM-based architectures or production AI platforms This role might not be the right fit if you're looking for: A highly structured ...

plane‐fitting (e.g., RANSAC, PnP) to achieve sub‐centimetre overlay accuracy and eliminate tracking drift. Translate research papers into real‐time algorithms, optimising neural networks and spatial pipelines for low‐latency execution on mobile NPUs, DSPs, and GPUs. Build spatial foundations that deliver seamless on‐device AR experiences ...

advantage: A background in decision making (Bayesian optimization, bandits, reinforcement learning, active learning) and/or probabilistic modelling and methods (Gaussian processes, Bayesian neural networks, Variational inference, etc). Experience in numerical programming (Python/NumPy/Tensorflow/PyTorch). Experience or interest in applying machine learning ...

plane-fitting (e.g., RANSAC, PnP) to achieve sub-centimetre overlay accuracy and eliminate tracking drift.Translate research papers into real-time algorithms, optimising neural networks and spatial pipelines for low-latency execution on mobile NPUs, DSPs, and GPUs.Build spatial foundations that deliver seamless on-device AR experiences, barcode/ ...

applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. If you are an experienced product engineer who takes ...

applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. If you are an experienced product engineer who takes ...

search or adsStrong CS fundamentals. Should be able to convert ideas to code with easeGood understanding of machine learning fundamentals like classification, deep neural nets, and sequence-based models. Familiarity with modern NLP stack and multi-modal representation learning is a plusWe'd love to see that ...

Engineering will be responsible for leading and managing a multidisciplinary engineering team, with a tech stack spanning (in order of importance): Machine Learning (neural networks, signal processing, computer vision; Python) Advanced algorithm development (Python) Cloud platforms (mainly AWS) Mobile development (iOS & Android) Web App (ASP.Net, JavaScript on Azure ...

quality through maintainable software, automated testing, continuous integration, effective engineering processes and customer feedback.Required Skills and Experience :A strong understanding of neural-network architecture and model execution, including computational graph representation and transformation, operator dispatch, memory planning, backend partitioning and execution across heterogeneous hardware.Proven experience in hardware ...

through maintainable software, automated testing, continuous integration, effective engineering processes and customer feedback. Required Skills and Experience : A strong understanding of neural-network architecture and model execution, including computational graph representation and transformation, operator dispatch, memory planning, backend partitioning and execution across heterogeneous hardware. Proven experience ...

degree in quantitative area Minimum of 8-10+ years experience applying predictive modeling techniques such as ML, decision trees, ensemble learning, neural networks etc, and data transformation such as data cleansing and integration, fuzzy matching, etc., is requiredMinimum of 8-10+ years of experience developing program ...

applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Play an active role ...

Engineer roleYou will design, develop and deploy production-grade computer vision systems using modern deep learning techniques, with a particular focus on Convolutional Neural Networks and Vision Transformers. This is a hands-on engineering role for someone comfortable working across research, software development and real-world deployment. … PyTorch. TensorFlow experience will also be considered. Strong knowledge of CNNs and modern computer vision techniques. Experience designing, modifying or adapting neural network architectures. Experience with model training, validation, hyperparameter optimisation and performance evaluation. Experience implementing techniques from recent AI or computer vision research. Experience delivering reliable ...