1 to 25 of 27 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 ...

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. ...

strategies.Knowledge of generative AI architectural patterns including RAG & fine tuning.Experience training & deploying machine learning models using a range of techniques (e.g. Classification, Regression, Neural Networks, etc).Experience with developing and deploying applications in cloud environments, such as AWS, Azure, or Google Cloud Platform.Understanding of how to design ...

engineering build-out of AI systems pioneered and prototyped by Data Science, including LLMs, retrieval augmented generation (RAG), multi-agent systems, and graph neural networks.Our Tech Stack:Our technology stack is designed to run on public cloud architectures, notably AWS and GCPDevelopment is organised around Kotlin and Python ...

understanding of best practices in software engineering and data engineeringIn-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etcSolid knowledge of statistics: hypothesis testing, confidence intervals, bootstrapExperience of end-to-end model development and maintenance of ML models used ...

biological or chemistry software.Experience working with real-world datasets.Experience with ML on accelerators.Experience in any of: large scale deep learning, generative models, graph neural networks, deep learning for drug discovery, deep learning for computer vision, 3D graphics/robotics, real-world applied RL.Culture and valuesWe are guided ...

record of applying AI to real-world scientific challengesExperience with multi-parameter optimizationExperience in any of: large scale deep learning, generative models, graph neural networks, deep learning for drug discovery, deep learning for computer vision, 3D graphics/robotics, real-world applied RLCulture and valuesWe are guided ...

linear algebra.Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar methodologies. Proficiency in programming languages such as Python, Sql etc. Experience with Data visualization tools (e.g. Power BI, Tableau ...

Scikit-learn, PyTorch, or TensorFlow. Experience with cloud platforms or distributed computing (GCP preferred, but AWS or Azure also welcome). Exposure to neural networks (a plus, not a must). A genuine interest in sports and data-driven decision making. What you ll get in return Fully ...

Scikit-learn, PyTorch, or TensorFlow. Experience with cloud platforms or distributed computing (GCP preferred, but AWS or Azure also welcome). Exposure to neural networks (a plus, not a must). A genuine interest in sports and data-driven decision making. What you’ll get in return Fully ...

well as models.Train Machine Learning Models: Use machine learning and statistical modelling techniques such as recommendations, reinforcement learning, decision trees, Bayesian analysis, neural networks and transformers to develop and evaluate algorithms to address business use cases and/or to improve product/system performance, quality and accuracy.Near ...

Staff Development Expert knowledge of probability and statistics Expertise in a broad range of data science/machine learning algorithms (Monte Carlo simulation, neural networks, logistic regression, random forest, etc.) with a proven track record of delivering solutions to complex problems. Proficiency with Python or other scripting/ ...

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? Identify areas where ML can create ...

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 in hiring ...

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 an analytical ...

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 ...

Particle Filtering, Pose EstimationDeep Learning techniques: Detection, Classification, Tracking, Siamese NetworksInverse Problems/Computational Imaging: Sparse Coding, Compressive SensingMachine Learning: Support Vector Machines, Neural NetworksDomain Specific Signal Processing: Multi/Hyper-Spectral, RF, IR, SAR, STAPThe primary development environments used within the department are Matlab/Simulink ...

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 ...

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 will be opportunities to work from home as agreed ...

mission to make their lives easier and save them money.As part of our team, you will be helping us create an entirely new network for the world's money.For everyone, everywhere.More about our mission and what we offer.Job DescriptionWe’re looking for a Staff Data Scientist to join … detection capabilities.Here’s how you’ll be contributing:Innovate and Develop: Lead the development and deployment of machine learning models, including neural networks, anomaly detection, graph-based models, Transformers. Design and build modular detection systems able to detect in an evidenceable way red flags and typologies across different ...

mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer . We’re looking for a Staff Data … detection capabilities. Here’s how you’ll be contributing: Innovate and Develop: Lead the development and deployment of machine learning models, including neural networks, anomaly detection, graph-based models, Transformers. Design and build modular detection systems able to detect in an evidenceable way red flags and typologies across ...

Salary: Competitive Who we are Join BAE Systems and you’ll be part of something bigger. As a valued member of our global colleague network, you’ll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You’ll be trusted to play your … Decision Support Capability.The Data and Decision Support Capability has teams working in: reinforcement learning; NLP/LLMs; knowledge graphs and graph based neural networks; AI for RF and EW, radar, sonar, acoustics, AI for image and video recognition tasks. The latter includes both computer vision and remote sensing ...

Salary: Competitive Who we are Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your … Decision Support Capability. The Data and Decision Support Capability has teams working in: reinforcement learning; NLP/LLMs; knowledge graphs and graph based neural networks; AI for RF and EW, radar, sonar, acoustics, AI for image and video recognition tasks. The latter includes both computer vision and remote ...