25 of 25 Remote/Hybrid Neural Network Jobs in London

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 ...

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 ...

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 ...

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 ...

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 ...

role You 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 ...

such as NeurIPS, ICML, ICLR, AISTATS, or CVPR, or research achievements of comparable quality Deep understanding of modern deep learning methods including graph neural networks, transformer architectures, and diffusion models Strong Python and PyTorch programming skills The ability to independently drive research from idea through to implementation Excellent ...

across the organisation to tackle financial crime and fraud with ML Leading the design and development of advanced real-time ML models, including neural networks, graph-based and sequence-based architectures Providing technical leadership to raise levels of expertise and best practices, including mentoring others Working with ...

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 ...

includes mentoring others and collaborating with product managers, engineers and designers in an agile setting. You will work on real-time models, including neural networks and graph-based architectures, and help drive ML tooling and practices across the team. #J-18808-Ljbffr ...

workflow automation Work with company data, APIs and business processes to help turn AI research into useful products Apply techniques including language models, neural networks, statistical methods and classical machine learning where appropriate Collaborate with software development and security analysis teams to test and implement research outcomes Implement … Software Engineer/Python/PyTorch/Large Language Models/LLM/LangChain/LangGraph/AI Agents/Enterprise Search/Neural Networks/Model Deployment/Edge AI/TensorFlow/scikit-learn/Linux/Git/Machine Learning/Artificial Intelligence/Computer ...

Senior Machine Learning Engineer working on dynamic pricing and recommender systems use cases in our games. The work involves tabular machine learning, including neural networks and approaches such as gradient-boosted decision trees. You'll focus on understanding the data, developing features and improving the models, rather than … dynamic pricing and recommender system models, from feature and label design through training, tuning and offline evaluation of tabular models such as neural networks and gradient-boosted trees.Monitor model performance once models are live across games and products. Investigate data and concept drift, including shifts tied ...

skills and experience. Essential 5+ years of experience in ML engineering or applied research roles, with a track record of training and shipping neural networks — not only operating data platforms. 4+ years of people management experience, including direct reports and cross‐functional project ownership. Deep knowledge of generative … video or other high‐dimensional temporal data. Hands‐on experience with video, generative or world models — for example video generation, novel‐view synthesis, neural rendering, or controllable generation. Working knowledge of cameras and 3D geometry (multi‐camera rigs, intrinsics/extrinsics, warps and reprojection) and why they break ...

looking for the following skills and experience: 4+ years in applied ML/research engineering, with a track record of training and shipping neural nets, not only operating data platforms. Strong Python and PyTorch (or equivalent); comfort with GPU training, debugging, and reading model code. Hands-on experience … with video, generative, or world models (diffusion/flow-matching/autoregressive video, novel-view synthesis, neural rendering, or similar). Working knowledge of cameras and 3D geometry (multi-camera rigs, intrinsics/extrinsics, warps/reprojection) and why they break generation or downstream training. Evidence of taking ...

scale the machine learning infrastructure that powers Focus, our line of smart cameras. You'll own the edge deployment pipelines that transport neural networks from training clusters to tens of thousands of devices globally, and contribute to the platform that compiles trained models into optimised inference engines … unique constraints of the edge - building resilient update mechanisms for low-bandwidth environments, optimising for limited storage, and ensuring devices recover gracefully from network failures. Mentor and lead. You'll share your expertise to establish best practices in Python tooling, Infrastructure-as-Code, and CI/CD, guiding ...