176 to 200 of 354 Deep Learning Jobs in the UK

agent Gemini capabilities. We deliver critical contributions to AI Grand Challenges (such as our gold medal-winning IMO 2025 effort), drive product innovations like 'deep think' mode and agentic inference scaling in antigravity, and lead its parent company-wide initiatives including AI for Science and Project Big Sleep. … scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related ...

which eats their income unknowingly. Role Purpose In this role, you will take full ownership of the architecture, engineering, and deployment of machine learning models and artificial intelligence architectures across Ecofamilies. You will translate user behaviors, parenting journeys, and marketplace preferences into tailored, dynamic feed landscapes, semantic search algorithms … predictive recommendation layers, ensuring ethical execution and deep alignment with UK privacy regulations. What You'll Do Core Responsibilities AI Architecture & Personalisation Engine: Design, build, and maintain production-ready machine learning engines that drive product, directory, and content personalization arrays for our UK community base. Natural Language Processing ...

making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world. As a Machine Learning Engineer at Autodesk Research, you will work side-by-side with researchers and engineers to build and enable ML-powered capabilities in Autodesk products. … problems Present results to collaborators and leadership Minimum Qualifications BSc or MSc in Computer Science, or equivalent industry experience 3+ years of machine learning experience Experience working in research or experimental environments with evolving requirements Proficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace) Experience with ...

Machine Learning Engineer (All Levels) Department: Engineering Employment Type: Permanent - Full Time Location: Bristol, UK Reporting To: Greg Daly Compensation: £50,000 - £95,000/year Description We’re building the UK's next generation engineering powerhouse, providing critical technology that strengthens national security and resilience. We specialise … useful AI into the hands of users. Our ML team works end-to-end, from R&D to deployment, across traditional ML, deep learning, data engineering, foundation models and LLM/agentic systems. We are now hiring across a broad range of ML skills, including model training, evaluation ...

communication, collaboration, and customer focused mindset Ability to manage tasks, timelines, and drive cross‐functional execution Ability to quickly learn new technologies and perform deep technical analysis Preferred Qualifications Experience with ML applications in IE-IOT – drones, robotics, smart audio or video collab system, etc Familiarity with ML benchmark … Experience with dedicated ML accelerators or hardware blocks for embedded AI Experience with debugging tools (JTAG, ftrace, GDB) Experience tuning GenAI models or reinforcement learning Experience with inference optimization and edge deployment Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years ...

seeking an AI Engineer for Autonomy to design, develop and deliver advanced Artificial Intelligence and Machine Learning solutions within complex and safety-critical environments. Working within a multidisciplinary AI and software engineering team, you will transform business and operational challenges into robust, scalable and secure AI capabilities. This role … technology programmes. KEY RESPONSIBILITIES: Translate business and operational requirements into AI solution designs and measurable outcomes. Develop, train and evaluate AI and Machine Learning models across areas such as computer vision, autonomy, large language models and predictive analytics. Design and maintain robust data processing, training and evaluation pipelines. Apply ...

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. Its work combines computer vision, perception and neuroscience-inspired technology to produce accurate and robust AI systems. MFK Recruitment has successfully recruited four Engineers ...

scientific manner Data science skills, including handling of large data sets, modelling and evaluation Good understanding of software engineering concepts, particularly with machine learning development Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published work within … related academic fields such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning, etc.) Master’s degree or Postgraduate (preferred) qualification from ...

values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. … move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about 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 ...

phase drug development Formulate, implement, test, and validate predictive models and build efficient, automated processes for delivering modelling results at scale Apply modern machine learning capabilities - including AI/ML, deep learning, NLP, causal ML, and explainable AI - across multiple data modalities and clinical development contexts Apply … statistical analysis using clinical trial or electronic health records data, particularly in a pharma R&D context Experience developing and validating statistical and machine learning models on high-dimensional data for time-to-event, longitudinal, and multivariate outcomes Experience in the application of AI/ML and proficiency ...

phase drug development Formulate, implement, test, and validate predictive models and build efficient, automated processes for delivering modelling results at scale Apply modern machine learning capabilities — including AI/ML, deep learning, NLP, causal ML, and explainable AI — across multiple data modalities and clinical development contexts Apply … statistical analysis using clinical trial or electronic health records data, particularly in a pharma R&D context Experience developing and validating statistical and machine learning models on high-dimensional data for time-to-event, longitudinal, and multivariate outcomes Experience in the application of AI/ML and proficiency ...

agenda, gaining exposure to senior decision-makers and building the commercial judgement needed to solve enterprise-wide challenges. This combination of deep technical capability, finance-domain expertise and measurable business impact creates a differentiated career path that is difficult to develop in a purely technology-focused role. Purpose … Responsibilities Build forecasting models on client financial and operational data, covering revenue, cost, cash, demand signals and underlying drivers, using appropriate classical, econometric, machine-learning or deep-learning approaches rather than a single preferred method. Prepare and validate multi-source data, engineer internal and external drivers, address ...

business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. … opportunity, diversity. The Role: We’re looking for a Senior Lead ML Engineer with a proven track record of delivering successful, production‐scale machine learning solutions (ideally on AWS SageMaker). You will provide technical leadership across ML lifecycle, including defining architecture, engineering standards, MLOps practices, and governance frameworks ...

discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using ...

discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using ...

science, AI, maths, statistics, or computer science, with the ability to explain how technical work impacts the business. Demonstrable experience with supervised, unsupervised, and deep learning methods, applying these to solve real business problems, especially in financial services or regulated industries. Hands-on experience managing ...

science, AI, maths, statistics, or computer science, with the ability to explain how technical work impacts the business. Demonstrable experience with supervised, unsupervised, and deep learning methods, applying these to solve real business problems, especially in financial services or regulated industries. Hands-on experience managing ...

science, AI, maths, statistics, or computer science, with the ability to explain how technical work impacts the business. Demonstrable experience with supervised, unsupervised, and deep learning methods, applying these to solve real business problems, especially in financial services or regulated industries. Hands-on experience managing ...

science, AI, maths, statistics, or computer science, with the ability to explain how technical work impacts the business. Demonstrable experience with supervised, unsupervised, and deep learning methods, applying these to solve real business problems, especially in financial services or regulated industries. Hands-on experience managing ...

methodological experience in areas relevant to neuroanatomy and AI. This likely includes expertise in computational modelling, data integration across diverse biological datasets, machine learning or deep learning approaches, and quantitative analysis techniques. A strong record of research excellence and evidence of collaborative scientific work will position applicants ...

looking for a Machine Learning Scientist to build AI and machine learning systems that turn complex biological data into actionable scientific insight. You will work at the intersection of ML, genomics, causal biology, and target discovery. The role includes building models, agentic AI workflows, systems that help automate … coding tools to accelerate development while keeping code reliable, readable, tested, and reproducible. Train and fine tune foundation models, language models, and representation learning methods for target discovery. Model relationships between genotype, cell state, perturbation response, causal biology, and disease. Collaborate closely with computational scientists, experimental biologists, software engineers ...

should be building worlds, not chasing bugs. We're replacing manual QA with autonomous agents that truly understand gameplay. Our small, focused team combines deep machine learning research with strong commercial execution, driven to solve some of the hardest problems in game development. Just over a year … CLIP, Flamingo) from scratch or checkpoints. You know exactly what happens inside the transformer block. Build for the Real World You have successfully deployed deep learning models into production environments where latency and cost matter. You understand the brutal reality of trade-offs between model size and inference ...

quantitative analysis and interpretation of genomic, multi-omic and phenotypic data using polygenic scores, GWAS, Mendelian randomisation, and other statistical and machine-learning methods. The appointed researcher will have research interests aligned with those of our groups and the freedom to develop their own ideas for new research … lead to first author high-impact publications. The preferred candidate will have a PhD in a subject related to data science: artificial intelligence, machine learning, computer science, statistics, biostatistics, statistical genetics, computational biology, bioinformatics, epidemiology or similar. They will have in-depth knowledge of and demonstrated experience of current ...

world where advanced applications of Machine Learning and AI enable us to develop transformational medicines that drive better outcomes for patients at reduced cost and with fewer side effects. AI will also play a role in how we diagnose and use medicines to enable everyone to do more, feel … better, and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI. About the Role To strengthen our AI for Science (AI4S) team, we are looking for AI/ML Engineers with a track record ...

dimensional datasets across therapeutic areas and development phases — including genomics, proteomics, imaging, and flow cytometry Apply and advance the use of AI/ML, deep learning, NLP, causal ML, and explainable AI across multiple data modalities and clinical development contexts Lead application of rigorous statistical approaches to clinical … strong track record of delivering impactful results in a pharma R&D context Significant experience leading the development and application of statistical and machine learning models on high-dimensional data for time-to-event, longitudinal, and multivariate outcomes Proven expertise in AI/ML and proficiency in Python ...