201 to 225 of 354 Deep Learning Jobs in the UK

Research Engineer, Biosecurity, DeepMind Share Research Engineer, Biosecurity, DeepMind corporate_fare DeepMind place London, UK Bachelor’s degree in Computer Science, Machine Learning, Computational Biology, or a related field, or equivalent practical experience. 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow, Pytorch). Preferred … qualifications: PhD degree in Computer Science, Machine Learning, Computational Biology, or a related field, or equivalent practical experience. Experience applying deep learning models to biological data (such as functional genomics or protein sequence data). Experience working with life science data, such as in bioinformatics or health ...

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 ...

harness cutting-edge AI techniques to revolutionize business decisions and automate processes. As an Applied AI/ML Lead – Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting‐edge AI techniques with … libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility dependent ...

working from home and our offices. Talk to us about how we can best support you! We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science … Lead the implementation of data science projects and data science approaches to support commercial goals Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data science ...

Join Our Team as a Technical Delivery Lead at Beyond Sports Are you excited about machine learning, technical leadership, and building the systems powering the future of sports entertainment? At Beyond Sports, we don’t just visualize sports, we reinvent how fans experience them. Together with partners like … push the boundaries of real‐time sports data, 3D graphics, and AI‐driven storytelling. If you’re passionate about leading technical teams, scaling machine learning systems, and staying hands‐on with engineering while shaping delivery strategy, this could be your next move. What Your Day Will Look Like ...

global community of developers and researchers. Skills and experience 5+ years of experience in software engineering, with a strong focus on AI and machine learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs ...

Join Our Team as a Technical Delivery Lead at Beyond Sports Are you excited about machine learning, technical leadership, and building the systems powering the future of sports entertainment? At Beyond Sports, we don’t just visualize sports, we reinvent how fans experience them. Together with partners like … push the boundaries of real-time sports data, 3D graphics, and AI-driven storytelling. If you’re passionate about leading technical teams, scaling machine learning systems, and staying hands‐on with engineering while shaping delivery strategy, this could be your next move. What Your Day Will Look Like ...

experimental design, sound validation, and an instinct for leakage, bias and overfitting in messy real-world data. Strong ML fundamentals across classical ML and deep learning (pandas, scikit-learn, XGBoost or LightGBM, PyTorch), and the judgement to tell when a language model is the wrong tool. A deep ...

Role At GSK, we are actively working on building a future in which state-of-the-art software, Artificial Intelligence (AI) and Machine Learning (ML) enable us to develop new therapies and personalized medicines that drive better outcomes for patients at reduced cost with fewer side effects. This ambitious … mission requires scalable, cloud-native solutions at the forefront of Software Engineering, Cloud Infrastructure, Efficient Compute, Machine Learning and AI. If this excites you, we would love to chat. To strengthen our AI for Science (AI4S) team, we are looking for Software Engineers with a track record in developing ...

Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment Care ...

operating system that replaces that chain: a single order book connecting the global market, the rails to move goods across borders, and a self‐learning system that does every job once, against real‐time data about the whole market. That puts data science at the core of the product. … tractable ML or statistical problems with clear success criteria, working closely with Product and Commercial Apply quantitative methods (regression, causal inference, classical ML, and deep learning where useful) to pricing, demand, liquidity, supplier matching, catalogue enrichment, and related marketplace problems Design and analyse experiments and A/ ...

operating system that replaces that chain: a single order book connecting the global market, the rails to move goods across borders, and a self-learning system that does every job once, against real-time data about the whole market. That puts data science at the core of the product. … tractable ML or statistical problems with clear success criteria, working closely with Product and Commercial Apply quantitative methods (regression, causal inference, classical ML, and deep learning where useful) to pricing, demand, liquidity, supplier matching, catalogue enrichment, and related marketplace problems Design and analyse experiments and A/ ...

Machine Learning Software Engineer (KTP Associate) Working with a large, complex and highly varied dataset drawn from an ERP system that was never designed with machine learning in mind. Making sense of the data, shaping it into something usable and building reliable models on top of it. Resource … They may be changed from time to time to meet changing circumstances. Experience, Skills and Education Qualifications/Training MSc in Data Science, Machine Learning, or similar Experience/Knowledge Knowledge/experience of computational/artificial intelligence Understanding of UI centred product design, as well as data extraction ...

involved in driving insights and strategy for the product team, creating and measuring value through experimentation, creating focus through metrics and goals, and building deep learning about what is most impactful for each team. You will be able to determine the underlying dynamics of our complex ecosystem … wider data organisation as part of the tech org, and is complemented by data engineering teams, data platform teams, and ML teams for when deep ML and AI techniques are required. Our autonomous model creates a huge opportunity for personal influence and impact – as the data scientist ...

stakeholder communication, problem-solving and project management skills in Agile environments Experience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques Apply now to find out more about this Backend Software Engineer/ ...

engineering and product delivery. You will be responsible for designing, implementing and maintaining our multi-omics platform architecture, building and validating data and machine learning pipelines. This role requires a blend of analytical thinking, architectural engineering capability, and the ability to communicate complex findings to both technical and executive … processing large-scale, high-dimensional datasets, ensuring efficient data loading and manipulation within training pipelines, and overseeing data quality and storage optimisation. Familiarity with deep learning frameworks (e.g., PyTorch). Architecting and building an ML platform and core ML infrastructure from the ground up, ideally in a biomedical ...

structure from motion problem, arguably the most challenging part of any 3D reconstruction pipeline. Preferred Qualifications and skills: Strong mathematical and statistical background with deep insights into machine learning algorithms. Expert in Structure from Motion Expert in SLAM, state estimation. 3+ years of practical work experience in computer … vision, with hands-on development experience. Nice to Have: Experience in Radiance Fields (Nerf, Gaussian Splatting, etc.). Proficient in using open-source deep learning frameworks like TensorFlow/PyTorch. Experience in model training and performance optimization. Contributions to popular open-source machine learning projects. Publications ...

strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com … Business Analytics Certified Business Analysis Professional (CBAP) - Upgrad, Microsoft Certified: Power BI Data Analyst Associate - Microsoft, PRINCE2 Practitioner - PeopleCraft, Project Management Professional (PMP) - Virtual Learning Academy (VLA), Tableau Desktop Specialist - Edureka Required Skills Automation Technology, Automation Technology, Big Data, Business Intelligence (BI), Clinical Analysis, Cloud Computing, Data Analytics, Databricks ...

strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com … Analytics**Certifications -**Certified Business Analysis Professional (CBAP) - Upgrad, Microsoft Certified: Power BI Data Analyst Associate - Microsoft, PRINCE2 Practitioner - PeopleCraft, Project Management Professional (PMP) - Virtual Learning Academy (VLA), Tableau Desktop Specialist - Edureka**Required Skills -**Automation Technology, Automation Technology, Big Data, Business Intelligence (BI), Clinical Analysis, Cloud Computing, Data Analytics, Databricks ...

insurance through data. The Telematics team transforms raw phone sensor data into meaningful insights about how people drive. Using advanced signal processing and machine learning, we process high-frequency data to extract behavioural signals that power our understanding of driving quality, context, and risk. About the Role … features and factors from telematics data. Develop and maintain end-to-end pipelines in Python and SQL, ranging from simple heuristics to complex machine learning models. Build robust solutions that scale, whether rule-based or ML-driven. Collaborate with Software Engineers,Data Scientists, and Product Managers to implement features ...

Projects: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Help models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and advising on GPU optimization … postdoctoral degree in Computer Science, Computer Engineering, or a related field. Professional Background: 1-3+ years of experience as a Machine Learning Engineer or Data Scientist. Skills: Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow).Experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain ...

SUMMARY We are seeking a Machine Learning Scientist to join the Enchant team at Iambic Therapeutics. Our mission is to deliver better medicines through innovation in AI-based discovery technologies. In this role, you will research and develop post-training methods for Enchant - our multimodal transformer model trained … role centers on designing and evaluating post-training approaches for large multimodal language models including supervised fine-tuning, parameter-efficient fine-tuning, reinforcement learning, preference or reward-based optimization, and other emerging post-training methods. You will develop rigorous evaluations and training infrastructure that make it possible to rapidly ...

open-ended ML research, model design, tooling, and infrastructure from concept to production. For PhD and postdoctoral researchers working on open-ended machine-learning problems from research through production. What Jump looks for Strong publications at venues such as ICML, ICLR, AAAI, NeurIPS, UAI, or KDD, and/… meaningful open-source AI research contributions. Strong machine-learning background, including modern deep learning and/or language-model architectures such as transformers and state-space models. Strong Python and/or C++. PyTorch, TensorFlow, and/or JAX. Strong quantitative reasoning, collaboration, and communication with trading ...

gauge the validity of synthetic results; developing LLM-guided adaptive experimental designs to enable the implementation of optimal treatments on-the-fly; implementing representation learning and text-as-data pipelines, employing learned representations of complex data for downstream (econometric) models; working closely with team members (data scientists, software engineers … faculty) to adapt code used for data wrangling, machine learning, and optimisation to the specific needs of projects; and contributing to the workshops and conference programme through which the platform reaches the wider research community. The successful candidate will hold an advanced degree in Computer Science, Engineering, Statistics ...

reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Required: PhD in Computer Science, Machine Learning, or a related field, with 2+ years of relevant industry or post-PhD research experience or Master in related field, with 5+ years … experience in these topics. Knowledge of human-inspired image/video quality metrics. Strong programming skills in Python. An in-depth understanding of the deep learning approaches and working experience with machine learning framework/packages (e.g, PyTorch). Desired: Background knowledge of video compression techniques ...