126 to 150 of 414 Deep Learning Jobs in England

Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber … Data Scientist Manager at Kainos, you'll be responsible for successful delivery of advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI development and scalable cloud-native architectures. Your role will involve technical leadership, engaging ...

Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber … Data Scientist Manager at Kainos, you'll be responsible for successful delivery of advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI development and scalable cloud-native architectures. Your role will involve technical leadership, engaging ...

leading electric vehicle manufacturer in Greater London seeks a Staff Software Engineer specializing in machine learning infrastructure. The ideal candidate will optimize deep learning performance on NVIDIA GPU systems and manage large-scale model training. Applicants should possess a PhD in Computer Science or equivalent experience … have substantial knowledge in PyTorch and deep learning frameworks. This role contributes directly to safety-critical self-driving technologies for innovative vehicles. #J-18808-Ljbffr ...

Technical Lead | Generative AI & Machine Learning 12-Month Contract | £500–£700 per day | Outside IR35 | London 167 Solutions is working with an organisation looking to appoint an experienced AI Technical Lead to lead the design and delivery of production-ready Generative AI and Machine Learning solutions. This … product and business stakeholders to build scalable AI solutions. Key responsibilities will include: Leading the technical design and delivery of Generative AI and Machine Learning solutions Designing enterprise-grade LLM, RAG and AI agent architectures Building and integrating conversational, voice-to-text and speech-based AI solutions Developing ...

working with a fast-growing UK AI company developing advanced machine learning technology around large-scale behavioural and transactional data. They’re looking for an AI Engineer who enjoys sitting between research and engineering — taking new ideas across predictive ML, causal modelling and Generative AI and turning them into … robust production systems. Where you’ll make an impact Take new ML and AI models from research into production Work across traditional ML, deep learning, transformers and Generative AI Build solutions around large-scale, complex datasets Work closely with researchers, academics, product and engineering teams Contribute to architecture ...

Expertise in designing, architecting, and implementing large-scale foundation models Significant hands‐on experience optimising and debugging deep learning models Practical experience with distributed or large-scale training and inference Deep understanding of at least one major deep learning framework (ideally PyTorch) Experience building … will do: Lead the research, development, and production deployment of Hypercritical's foundation model. Define the long-term technical strategy for high-performance Machine Learning systems. Optimize the model for peak performance across diverse hardware and ensure scalability for exponential user growth. Serve as the technical guardian ...

Fortune 500 companies that aims to support enterprise decision-making with artificial intelligence and human-centered innovation. Задачи Design, train, and optimise machine learning models for user personalisation, including recommendation engines, ranking algorithms, user segmentation, and content analysis Build and maintain robust, scalable data pipelines for feature engineering … analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement Collaborate with multidisciplinary teams to align machine learning initiatives with business objectives and user needs Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration into ...

modes and retraining criteria; Stay current with advances in ML engineering, distributed training and biomedical AI tooling. Требования: Hold a postgraduate degree in Machine Learning, Computer Science, Computational Biology or a related technical field; Have a PhD or an MSc with equivalent industry experience; Have hands‐on experience with … deep learning and foundation model implementations, including transformers, pre‐training and fine‐tuning, ideally at scale; Have experience delivering production‐quality model artefacts and moving research prototypes to reliable deployment; Have experience partnering closely with researchers throughout implementation; Be proficient in Python and deep learning frameworks ...

Training frameworks (mainly TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe) Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance Proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch) Experience … your career with us! Desirable Experience working on OTT platforms Experience in Scala What the job involves Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis Data Pipeline Engineering: Construct and maintain robust and scalable ...

failure modes and retraining criteria Stay current with advances in ML engineering, distributed training and biomedical AI tooling Required Qualifications Postgraduate degree in Machine Learning, Computer Science, Computational Biology or a related technical field; PhD preferred or MSc with the equivalent industry experience Solid hands-on experience with deep learning and foundation model implementations such as transformers, pre-training, fine-tuning, ideally at scale Demonstrated experience delivering production-quality model artefacts, with a strong sense of what's required to move from research prototypes to reliable deployment Experience working in close partnership with researchers throughout the implementation ...

London‐based team. Core Technical Qualifications: Hands‐on experience in technical pre‐sales or consultancy, with a strong background in Data Science – traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end‐to‐end Data & AI solutions, with specific expertise in modern ...

taking a leadership position in building an innovative and compliant market. You can read more here. Working at Wintermute You are an experienced machine learning engineer or researcher with a strong track record in applied deep learning, ideally in domains involving high-frequency or large-scale time … book and market microstructure data. Design and maintain data pipelines, preprocessing, and feature extraction workflows tailored to streaming tick data. Research and implement advanced deep learning architectures for short-horizon forecasting and signal extraction. Collaborate with quant researchers and developers to integrate models into live trading environments. Optimise ...

deeply technical, hands-on role you will spendthe majority ofyour time in the architecture and engineering of real-world AI solutions across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements. You will translate requirements into concrete architecture decisions: selecting design patterns,evaluatingand benchmarking … will work with cross-functional delivery teams alongside data engineers, ML engineers, and application developers, and this role is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts on complex, real-world problems, and build a foundation for growing into a lead ...

backtest new predictive signals. Building world-class research tooling to speed up Algo Developers' research iteration. Aiding the development and deployment of very large deep learning models for HRT's live trading. Improving HRT's monetization systems which turn our predictions into profitable trades. Evaluating sim vs. live … issues across distributed systems in a time-sensitive environment. Optimize both the mechanics and ergonomics of Algo Developer research workflows; this requires developing a deep intuition for research methodologies. Balance the short term goals of individual trading teams with the longer term goals of HRT's generalized trading platforms ...

Jump Trading Group in Greater London seeks a research scientist to apply deep learning to state-of-the-art problems across quantitative research and monetization. You will lead open-ended projects from concept to production, collaborating with ML, statistics, and engineering teams. The role requires 5+ years ...

Overview Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. … relating to classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location: Cambridge – 3 days ...

integration into other systems while providing feedback to continue to evolve the AI platform. The ideal candidate will have a strong background in machine learning, data analysis, and software development. The role will be responsible for designing, developing, and implementing AI solutions to solve complex problems and enhance … scalable architecture and alignment with best practices, whilst assessing the viability and business value for the firm. What you will have Experience in machine learning, deep learning, and AI model development Proficiency in programming languages such as Python, R, or C-Sharp. Experience with AI frameworks ...

finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world-class platform to amplify our teams … looking for? The ideal candidate will have the following skills and experience: Expert knowledge of Natural Language Processing or a related area of machine learning, through academic or industry experience (or both)Familiarity with the many recent, exciting advances in NLP and generative AI, in particular adapting LLMs ...

NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Solution Architect with expertise in Generative AI, Data Science applications and Machine Learning (ML) to work with our Hyperscaler partners. In our Solutions Architecture team, we work with the most exciting platform for accelerated computing and drive …/Computer Engineering, Physics, Mathematics, other Engineering fields A proven track record of academic and/or industry experience in fields related to machine learning, deep learning and/or data science You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales ...

passion for insights and personalisation. The Opportunity: The role will work with our product, engineering and customer success teams. It requires direct expertise with deep learning statistical models that power AI, such as Transformers, and is focused on providing the quality of predictive and prescriptive insight that … Behavioural AI model research and development Key Responsibilities: Design and build core behavioural models as tooling for our behavioural AI product, using bleeding edge deep learning techniques Developing client prototypes of new behavioural insight to prove value and then push upstream into our core capabilities where appropriate Ideate ...

methodologies, focusing on interpretability, steering, and behavioural studies of transformer-based LLMs. Developing high-quality, modular, and reproducible research code in Python using deep learning frameworks like PyTorch. Building and maintaining research infrastructure and technical tooling to accelerate scientific discovery. Documenting and communicating experimental findings through high-quality … complex technical insights for diverse audiences, including external frontier labs, government bodies, and safety institutes. Who we're looking for: Solid background in machine learning fundamentals and transformer architectures (specifically LLMs).A practical understanding of white-box and black-box interpretability techniques, such as steering vectors or mechanistic interpretability. ...

world class campus in Ecopark, developed with an investment of up to USD 165 million, offering modern facilities and an international-standard learning environment for more than 10,000 students upon completion. POSITION REQUIREMENTS The position requires a Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related … along with substantial university-level teaching experience and a proven ability to engage and inspire students. Candidates must possess expertise in data analysis, machine learning, deep learning, natural language processing, big data, quantitative analysis, and data visualization, as well as proficiency in relevant programming languages ...

methodologies, focusing on interpretability, steering, and behavioral studies of transformer-based LLMs. Developing high-quality, modular, and reproducible research code in Python using deep learning frameworks like PyTorch. Building and maintaining research infrastructure and technical tooling to accelerate scientific discovery. Documenting and communicating experimental findings through high-quality … complex technical insights for diverse audiences, including external frontier labs, government bodies, and safety institutes. Who we're looking for: Solid background in machine learning fundamentals and transformer architectures (specifically LLMs). A practical understanding of white-box and black-box interpretability techniques, such as steering vectors or mechanistic ...

Machine Learning Engineer £75k-£100k DOE | UK Remote About the Role We are seeking an experienced Machine Learning Engineer to develop, train and optimise advanced computer vision and machine learning systems for deployment in constrained edge environments. This role is ideal for someone who combines strong machine … learning expertise with excellent software engineering capability and enjoys solving difficult performance, optimisation and deployment challenges. You will work on cutting-edge computer vision systems, helping deliver highly efficient machine learning models that operate in demanding real-world conditions. Responsibilities Develop advanced computer vision and machine learning ...

Capital One in Nottingham is seeking a 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 ...