101 to 125 of 189 Neural Network Jobs in the UK

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 ...

trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently ...

trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently ...

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 ...

such as embeddings, two-tower models, learning-to-rank or representation learning. Exposure to modern ML architectures and techniques such as transformers, graph neural networks, contrastive learning or multimodal embeddings. Experience working with real-time or low-latency ML inference systems at scale. About UsBumble Inc. ...

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 ...

reproducible data and machine-learning pipelines, upgrade the GRIT global hydrography, and design and evaluate models ranging from baseline approaches to graph neural networks. You will also oversee the open release of project datasets, models, code and documentation. The successful candidate will join Oxford's Hydro-Climate Extremes ...

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 ...

experience levels.The RoleWe’re growing our diverse team, and you’ll contribute to the development and verification of next-generation neural network hardware! Collaborating with experts across global design centers, you’ll help deliver Arm’s next-generation IP using sophisticated tools and methodologies.As a System Test … running test cases, and working with modern tools and infrastructure.We are a distributed team crafting and deploying advanced emulation environments for pioneering Neural Accelerators. Your work will help bridge the gap between silicon development and real-world deployment, improved system validation, and reducing time-to-market.You’ll collaborate ...

machine learning and quantum computing. The role is hands-on across research, design, coding, evaluation, and iteration. You'll design, train, and evaluate neural networks for quantum and classical directions, host and serve models (including LLMs), turn recent papers into code, and collaborate with quantum scientists and researchers ...

machine learning, with particular value placed on optimisation, ensemble methods, and portfolio construction (e.g. convex optimisation, mean-variance and its extensions, gradient boosting, neural networks). Demonstrable experience in signal combination, alpha mixing, or systematic portfolio construction, ideally in a mid-frequency setting. Proficiency in Python; C++ ...

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 ...

C++/Python in a Linux environment Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks, or support vector machines Strong experience developing statistical models in a trading environment Proven success working with large data sets and developing statistical ...

models, with a deep understanding of qualitative and quantitative metrics. Strong proficiency in PyTorch and familiarity with state-of-the-art neural network architectures. Hands-on experience building end-to-end machine learning pipelines, including data collection and pre-processing, model training and evaluation, inference serving. Strong ...

LLMs, VLMs, or image/video generative models — architecture, training, and inference. Experience solving real problems using reinforcement learning with deep neural networks in any domain. Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. You are self‐driven, pro‐active ...

delightful to use. We’ll rely on your in-depth knowledge of the ML ecosystem and understanding of varying approaches - whether it’s neural networks, random forests, gradient-boosted trees or sophisticated ensemble methods - to aid decision-making so we apply the right tool for the problem ...

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 ...

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 ...

following: driver development, inference engines like llama.cpp or vLLM, performance analysis of ML and GenAI workloads, knowledge of Neural Network Processing Units (NPU) or Graphics Processing Units (GPU) and how they are used for ML. In Return: You will receive a competitive reward package which includes generous ...

synthetic data. This is primarily a deep learning-focused role, so we are looking for experience solving real problems using modern neural networks, while experience in robotics isn’t strictly required. However if you don’t have such experience, be prepared that you’d need to familiarize yourself ...

space models, filtering and smoothing, computational statistics and approximate inference methods Experience with and/or knowledge of machine and statistical learning, deep neural networks, feature engineering, reinforcement learning, dynamic optimisation and optimal control Experience working with large datasets Knowledge of and interest in football or other sports ...

retrieval pipelines, multi-stage ranking systems and Content AI stacks. Advanced sequential recommendation systems designed to model real-time user session dynamics. Graph Neural Networks (GNNs), knowledge graphs, and multi-modal representation learning to map travel entities. Generative AI and Agentic AI workflows to improve conversational discovery experiences. ...