126 to 150 of 179 Neural Network Jobs in England

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 ...

Need To See MS or PhD in Computer Science, Engineering, High-Performance Computing, or equivalent professional experience. 5+ years of experience in Neural Networks inference optimization. Solid understanding of transformers inference optimization: quantization, disaggregated inference, speculative decoding, continuous batching, KV cache optimization. Practical experience in MoE inference ...

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 ...

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. ...

Variance. o Bayesian approaches to modelling o Causal inference o Machine Learning/predictive models: regression/classification trees, random forests, boosting, neural networks Experimental design and applying the appropriate testing framework to analytics. Experience improving decision quality, working with system leaders to ask the right questions. Experience ...

improving technologies. In the past you would have applied your Machine Learning techniques to a range of different applications. These could include deep neural networking, statistical signal processing, artificial intelligence, data science, machine learning or other complex fields. As you will be applying your development skills ...

general insurance pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A quantitative degree (Mathematics, Statistics, Engineering, Physics ...

general insurance pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A quantitative degree (Mathematics, Statistics, Engineering, Physics ...

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 ...

Matlab, Python, and C++ preferred, but knowledge of other programming languages useful. Data fusion in an operational context, using machine learning and neural networking techniques. Interoperability techniques including the use of tactical datalinks and secure communications. Systems Engineering. Autonomy and AI in mission-driven applications. Development, and test ...

practice. Strong applied ML and statistical foundations. You can design, evaluate, and iterate on models — and you know when a heuristic beats a neural network. Production ML experience. You\'ve built models that run in real systems, not just notebooks. You understand latency, data freshness, feedback loops ...

Group Corporation, we're part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties … Python, OpenGL, DirectX).Familiarity with machine learning frameworks and their application in visual computingKnowledge in computer vision and machine learning: advanced neural network architectures applied to image analysis and video processing (diffusion models, transformers, distribution alignment, advanced loss functions for computer vision problems)Knowledge in game engine ...

seeking System Test Engineers to advance neural network hardware verification and validation. You will contribute to verification strategy and own complex work packages across global design centers, delivering high-quality IP through advanced emulation environments. You will design test automation, run cases, and collaborate with architecture, design ...

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 ...

after it goes live About us Paddy (https://www.linkedin.com/in/paddystobbs) worked at Google, and later founded Jukedeck, a neural-networks-for-music company, which TikTok acquired. Tom (https://www.linkedin.com/in/tomdekan) founded and sold an HR software company ...

statistics, computer science, or a related quantitative field. Deep expertise in generative modelling. Strong foundations in probabilistic modelling, representation learning, or neural network architectures for structured or sequential data. Excellence in Python and familiarity with scalable ML tooling and high‐performance computing. A disciplined approach to model ...

components Experience in loads or aeroelasticity Knowledge of of CADFIX, Solar, ANSA, Tau, CODA Understanding and experience of data science analytic techniques (especially neural networks & deep learning) and their application for data analysis, regression and classification How we can support you* Many of our staff work flexibly ...

more of these would be advantageous: Medical imaging AI: experience with imaging‐based AI products, and familiarity with concepts such as neural networks Hands‐on experience with integration to EMR or other key IT hospital systems. Regulated product experience: hands‐on experience developing medical device software ...

practice. Strong applied ML and statistical foundations. You can design, evaluate, and iterate on models — and you know when a heuristic beats a neural network. Production ML experience. You've built models that run in real systems, not just notebooks. You understand latency, data freshness, feedback loops ...

Lead Data Scientist to guide the development of deep learning models for underwriting. The role focuses on leveraging multi-modal data, building advanced neural networks and delivering production-ready solutions. You will collaborate with business stakeholders, mentor junior team members and ensure code quality with modern ML frameworks ...

Head of Engineering, this is a senior individual‐contributor role focused on LiDAR and 3D sensor perception, point cloud processing, deep neural network (DNN) approaches for 3D understanding, and real‐time deployment of perception models. This role requires strong expertise in both classical point cloud processing ...

performance estimation, optimisation based on expected conditions and analysis of empirical data to enable continuous improvement Develop and utilise Archangel Lightwork\'s laser communications network simulation tool to assess network level performance of optical communication systems, supporting site selection and network architecture development. This includes use case … constellations, and NTN networks Experience developing link budgets and associated tradeoff analysis Experience using ML/neural networks for meteorological analysis, forecasting, network traffic or network modelling. Location Our office is based in Osney Mead, Oxford. There will be opportunities to work from home as agreed ...

Link performance estimation, optimisation based on expected conditions and analysis of empirical data to enable continuous improvement Develop and utilise Archangel Lightworks laser communications network simulation tool to assess network level performance of optical communication systems, supporting site selection and network architecture development. This includes use case … constellations, and NTN networks Experience developing link budgets and associated tradeoff analysis Experience using ML/neural networks for meteorological analysis, forecasting, network traffic or network modelling. Location : Our office is based in Osney Mead, Oxford. There may be opportunity to work from home as agreed ...