151 to 175 of 354 Deep Learning Jobs in the UK

Lead Machine Learning Scientist, FinCrime Location: Cardiff, London or Remote (UK) We are seeking a Lead Machine Learning Scientist to join Monzo's FinCrime team. You will lead the development and deployment of advanced machine learning models to detect financial crime and fraud, while protecting genuine customers … optimising operational costs. About our Machine Learning FinCrime Team Our Financial Crime Data team consists of 25+ people across analytics engineers, data analysts, machine learning scientists and data scientists. You will be part of a fast-moving environment building defensible capabilities to keep Monzo and our customers safe. ...

Lead Machine Learning Scientist, FinCrime Location: Cardiff, London or Remote (UK) We are seeking a Lead Machine Learning Scientist to join Monzo's FinCrime team. You will lead the development and deployment of advanced machine learning models to detect financial crime and fraud, while protecting genuine customers … optimising operational costs. About our Machine Learning FinCrime Team Our Financial Crime Data team consists of 25+ people across analytics engineers, data analysts, machine learning scientists and data scientists. You will be part of a fast-moving environment building defensible capabilities to keep Monzo and our customers safe. ...

activities at the intersection of AI, simulation, and mechanical engineering. Develop AI-enabled engineering simulation capabilities. Support Digital Twin development and deployment. Apply machine learning techniques to improve simulation accuracy and efficiency. Bridge research and production deployment of advanced modelling solutions. Collaborate with engineering, systems, and software teams … Experience working with engineering simulation platforms such as: ANSYS Abaqus COMSOL Experience designing and executing research programmes and validation studies. AI & Advanced Analytics Machine Learning and Deep Learning applied to engineering systems. Experience with LLMs and Generative AI technologies. Retrieval-Augmented Generation (RAG) and knowledge-based systems. ...

enable transformation across R&D, clinical, and commercial functions. Acting as a trusted advisor, you will design and deliver scalable solutions using machine learning, Generative AI and large language models to address key challenges in drug discovery, clinical development, pharmacovigilance and patient engagement. You will combine domain experience with … pharmacovigilance Advise executive stakeholders on AI strategy and translate technical concepts into actionable business outcomes Define and deliver enterprise-wide AI and machine learning adoption roadmaps aligned to business objectives Create governance frameworks to ensure AI solutions meet regulatory and ethical requirements (e.g., GDPR, FDA, EMA) Prototype Generative ...

description Connect to your Industry Our Audit and Assurance practice encompasses skills across regulation and finance with a deep analytics capability. We harness these to provide Assurance to those charged with governance, serving the public interest. Working in Assurance means you will have an opportunity to work alongside leading … hiring of focused, aspirational, and collaborative practitioners, and as such we are offering the opportunity to join as a Data Science and Machine Learning Manager to support this challenging and rapidly expanding business. Deloitte offers a unique career opportunity in a supportive, challenging, and fast-growth environment. The successful ...

they are not essential for you to apply: Knowledge of C++, Python, PyTorch, OpenCV, CUDA, TensorRT, Git, WSL, Docker, Jira/Confluence Machine Learning and Deep Learning Computer Vision methodologies and algorithms MLOps Developing AI for use on Edge Computers Research and prototyping Benefits: Annual Company Bonus … sell up to 5 days Flexible hybrid working arrangements Continuous professional development including incentives Access to online Udemy training facility to support grade specific learning pathways Electric car scheme Bike to work scheme Private health care About Us: Synoptix was formed in 2011 to provide engineering solutions across various ...

looking for a Machine Learning Engineer/AI Research Engineer to join our small core team. This is a hands-on role sitting at the intersection of modern machine learning and quantum computing — with two complementary directions. ML for quantum — using neural networks and learning-based methods … Achievements get rewarded. What we're looking for Strong Python, with good software-engineering habits (Git, testing, reproducible experiments). Solid grounding in machine learning/deep-learning fundamentals — you can build, train, and debug neural networks from scratch in a modern framework (PyTorch, JAX, or similar ...

apply, and the type of support you need to complete the application to adjustments@depop.com. Role Depop is looking for a Staff Machine Learning Scientist to join our new Core ML team in the UK. You will work alongside a multi-functional team of Product Managers, ML Engineers … fellow ML Scientists, helping build and maintain foundational machine learning models and infrastructure, such as product matching models, image embedding services, and lightweight classifiers, that support multiple product and marketing use cases across Depop. As a staff-level member of the team, you will be expected ...

running in real industrial pilots — and we’re growing the team to take it even further. About the Role We're hiring a Reinforcement Learning Engineer to join our Autonomy team based in London. In this role you will leverage reinforcement learning in both simulation and physical reality … build highly performant and robust manipulation policies. What You'll Do Train language‐vision conditioned manipulation policies via reinforcement learning (RL) in simulation and in the real world. Construct challenging and diverse suites of manipulation tasks in simulation. Partner with teleoperations to collect trajectories in simulation for behavior cloning. ...

data-driven methodologies to healthcare challenges. The successful candidate will work within a collaborative research environment, contributing to projects that leverage AI, machine learning, and data analytics to improve healthcare delivery, diagnostics, and patient outcomes. The role involves developing novel computational models, analysing complex healthcare datasets, and collaborating with … Eligibility Criteria: A PhD (or near completion) in Computer Science, Artificial Intelligence, Data Science, or a closely related discipline Demonstrated experience in AI, machine learning, or data science research Experience working with healthcare or biomedical datasets (desirable) Strong publication record or evidence of research outputs Ability to work independently ...

sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. … Data Scientist to join our Security and Intelligence consulting team and will be responsible for designing, developing and delivering advanced analytics and machine learning capabilities within secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive ...

## Senior Lead Machine Learning EngineerApply: GBR-Nottingham-1 Chapel Qtr: London, United Kingdom: Full time: Posted Today: R0123436**About Us:**LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence … 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. It’s how we’ve contributed to supporting the financial stability and growth ...

prohibitive cost of part qualification. Our platform cuts qualification time and costs while ensuring traceable, consistent quality. About Nexus Nexus is a cutting-edge deep tech startup emerging from Imperial College London, positioned at the intersection of advanced manufacturing and artificial intelligence. We're solving the billion-pound challenge … solve complex deployment and inference challenges in resource-constrained environments Required Expertise PhD in computer science, physics, engineering, or related field with significant machine learning focus 2+ years of hands-on experience building and deploying real-world AI systems that solved genuine business problems Mastery of machine learning ...

production.You'll translate research decisions — architecture choices, tokenisation trade-offs — into production systems that set the direction for how other Klarna machine learning teams work.You'll evaluate the customer representations the model produces against real underwriting outcomes, not just training-loss metrics.Who you areYou understand the algorithms behind transformer … comfortable when a problem doesn't have an established playbook yet.Bonus points forYou've optimised GPU-level performance or written Triton kernels.You have machine learning experience outside deep learning — classical ML, statistics, or other modelling approaches.You've worked with large-scale transactional or financial data before.You ...

client governance bodies, including constructively challenging non-compliant or high-risk designs. Communication & Delivery Excellent executive communication and presentation skills; able to flex between deep technical detail and C‐suite framing. Proven ability to author low‐level design (LLD) and high‐level design (HLD) documentation to a professional services … standard. Experience running technical design workshops with senior client stakeholders and multi‐vendor delivery teams. Certifications NVIDIA certifications (NCP‐AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred. Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google ...

trust, respect, collaboration, agility, and quality. About the Role In this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation … information retrieval, statistics, or a related quantitative field, or equivalent practical experience. Excellent technical expertise across modern data science methods, including machine learning, experimentation, deep learning, generative AI, and production AI systems. Hands-on experience delivering AI-powered products, including LLMs, RAG, semantic search, embeddings, agentic workflows ...

trust, respect, collaboration, agility, and quality. About the Role In this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation … information retrieval, statistics, or a related quantitative field, or equivalent practical experience. Excellent technical expertise across modern data science methods, including machine learning, experimentation, deep learning, generative AI, and production AI systems. Hands-on experience delivering AI-powered products, including LLMs, RAG, semantic search, embeddings, agentic workflows ...

trust, respect, collaboration, agility, and quality. About the Role In this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation … information retrieval, statistics, or a related quantitative field, or equivalent practical experience. Strong technical expertise across modern data science methods, including machine learning, experimentation, deep learning, generative AI, and production AI systems. Hands‐on experience delivering AI‐powered products, including LLMs, RAG, semantic search, embeddings, agentic workflows ...

University of Surrey is seeking an outstanding postdoctoral researcher, with a strong background in computer science, artificial intelligence, computer vision, machine learning, data science, or a closely related field, to co‐develop an application for a Marie Sklodowska‐Curie Actions (MSCA) Postdoctoral Fellowship. The project’s title is "Privacy … toward a validated research tool. Design and build a minimum viable prototype for privacy‐preserving behavioural AI Develop or adapt computer vision and machine learning methods for detecting non‐identifying behavioural events Convert detected events into behavioural sequences interpretable by social scientists Develop validation protocols comparing AI outputs with ...

services (Flask or FastAPI) and the ML/NLP ecosystem (scikit-learn, pandas, NumPy, spaCy, PyTorch or TensorFlow). Demonstrated experience taking machine learning models from prototype to production - training, packaging, deployment, monitoring, retraining, and decommissioning - in real-world business applications. Proven experience working with large datasets and distributed … research feed analytics; exposure to computer vision or multi-modal document processing (OCR, layout-aware extraction) is a plus. Familiarity with AWS machine learning services such as Amazon Bedrock with EKS-based deployment. Knowledge of deep learning architectures (CNNs, transformers, sequence models) and of reinforcement learning ...

applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI/ML Senior Associate 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. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team ...

work both independently and collaboratively to apply data science techniques that drive meaningful outcomes. Responsibilities Scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems. Perform data analysis and data collection processes that effectively support these services. … capability with proven experience in statistical modelling skills and data interpretation. Technical Skills – Proficiency in Python for data analysis, modelling and machine learning. Machine Learning – Experience building and evaluating machine learning models. Education – Degree in Mathematics, Statistics, Data Science, or another quantitative field. Communication – Strong verbal and written ...

ideas, and transforming promising innovations into production-ready solutions that create measurable business impact. This role is ideal for someone who enjoys combining deep technical expertise with experimentation and discovery. You'll continuously evaluate new AI capabilities, conduct research and proof of concepts, and help identify opportunities where … unlock new customer and business value. You'll work across Generative AI, Agentic AI, Machine Learning, and LLMs , helping deliver innovative capabilities that create real business value. What you'll own Assess, Design, build, optimize and deploy ML/AI models, Foundational models for real-world applications Continuously research ...

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 Alphabet-wide initiatives including AI for Science and Project Big Sleep. In this role … 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 ...

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 ...