26 to 50 of 449 Deep Learning Jobs in the UK

Lead a team of exceptional Data Scientists and ML Engineers building next-generation AI solutions for financial markets. Drive innovation using LLMs, Generative AI, Deep Learning, Transformers, Agentic AI, and advanced Machine Learning to deliver real-world business impact. If you're passionate about shaping the future … create measurable business value at scale. This role combines technical leadership, people leadership, and strategic execution. You will drive innovation in AI and Machine Learning, establish engineering excellence, and develop exceptional talent while delivering production-grade solutions that solve complex customer problems. The ideal candidate has a consistent track ...

forecasting, online, pricing, security, fulfilment, distribution, property, IoT and computer vision are just some. Our team members are encouraged to allocate working hours for learning and personal development every week and are provided with multiple learning resources and tools. Multiple academic collaborations enrich the team’s expertise;knowledge … Scientist and Product Manager in managing relationships with business stakeholders, and mentor and supervise junior team members and interns. You will: Design and improve deep learning and related machine learning forecasting models for large‐scale retailtime series. Build robust training and backtesting pipelines (time‐aware CV, leakage ...

looking for an Applied AI Scientist with strong machine learning experience to join our AI Technologies team. In this role, you'll help build practical machine learning and generative AI solutions that can move from experimentation into production. You'll work closely with product owners, data engineers, software … role for someone who enjoys solving technical problems, writing code, experimenting with new approaches, and turning ideas into reliable systems. Job Responsibilities: Apply machine learning, deep learning, and generative AI techniques to business problemsDesign, run, and evaluate ML experiments using current tools and frameworksWork with large language ...

looking for an Applied AI Scientist with strong machine learning experience to join our AI Technologies team. In this role, you'll help build practical machine learning and generative AI solutions that can move from experimentation into production. You'll work closely with product owners, data engineers, software … role for someone who enjoys solving technical problems, writing code, experimenting with new approaches, and turning ideas into reliable systems. Job Responsibilities: Apply machine learning, deep learning, and generative AI techniques to business problems Design, run, and evaluate ML experiments using current tools and frameworks Work with ...

looking for an Applied AI Scientist with strong machine learning experience to join our AI Technologies team. In this role, you’ll help build practical machine learning and generative AI solutions that can move from experimentation into production. You’ll work closely with product owners, data engineers, software … role for someone who enjoys solving technical problems, writing code, experimenting with new approaches, and turning ideas into reliable systems. Job Responsibilities: Apply machine learning, deep learning, and generative AI techniques to business problems Design, run, and evaluate ML experiments using current tools and frameworks Work with ...

contributing to the development and application of AI-driven tools for the analysis of complex medical datasets. The role includes designing and implementing machine learning models, processing large-scale pathology imaging data, and contributing to translational research aimed at improving diagnostic and clinical outcomes. Responsibilities include conducting independent … resources. Eligibility Criteria: A PhD (or near completion) in Computer Science, Artificial Intelligence, Biomedical Engineering, or a closely related discipline Demonstrated experience in machine learning, deep learning, or computer vision Experience working with medical imaging or digital pathology data Strong programming background and experience handling large datasets ...

know if you need any adjustments throughout the process in whatever way works best for you. Job DescriptionWe are looking for a Senior Machine Learning Engineer, with expertise in deep learning, to join our cross-functional Outfits Discovery team. In role, you will a senior … will be productionising machine learning systems across that help our customers discover and shop complete outfits that resonate with both their personal style and current fashion trends. Our mission is to elevate the fashion experience and ship with high scale ML capabilities. What you'll be doing: You will ...

systems. To deliver reliable data-driven technologies to millions of Toyota vehicles, we are solving complex real-world problems using large-scale data, machine learning, and state-of-the-art architectures for Perception, Prediction, and Motion Planning. WHO ARE WE LOOKING FOR? The team is seeking an experienced, technical … creation and deployment of sophisticated data models and algorithms to resolve business challenges for the Autonomy team. You lead through your expertise in data, deep learning and software engineering. You provide technical guidance to the team by combining modern data approaches with safety standards while also considering cost ...

innovative solutions to enhance video streaming experiences. In this role, you'll build algorithms that detect and correct video defects using cutting-edge machine learning and computer vision techniques, ensuring high-quality video is delivered to millions of users across the globe. You'll be part of a dynamic … quality analysis. What you will do: As a Software Development Engineer specializing in Video Quality Analysis, you will create and optimize systems that use deep learning and computer vision to detect and improve video quality. You'll work on developing scalable, real-time solutions that automatically identify defects ...

looking for a highly skilled machine learning researcher with significant experience in generative modeling. You will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases. In your role you will architect novel generative models … Labs you will be working with some of the brightest minds in generative AI and biology. Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites. We’re looking for innovators passionate ...

Science teams to optimise hardware and deliver remarkable performance in real scientific domains. What we're looking for 3+ years of deep learning research experience. Experience post-training large language, vision, video or multi-modal models. Demonstrated track record of success in deep learning research, whether … papers, model releases, open-source contributions, or other artifacts. 5+ years of software engineering experience, including deep familiarity with Python and at least one deep learning framework (e.g., PyTorch, JAX). Experience using the latest coding agents, and opinions about optimal workflow. Enthusiasm for experimental organizational design. ...

Staff/Principal Machine Learning Scientist - Ranking & Retrieval London, United Kingdom About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with … Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. About the role: As a Principal Machine Learning Scientist , you will be the technical anchor for our core discovery engine. You will lead the machine learning strategy and execution that powers ...

Capital One is seeking a Lead Data Scientist/Deep Learning Practitioner in Nottingham to lead the development of proprietary deep learning models for underwriting. You will work with diverse data to boost predictive power and generate actionable customer insights. You’ll mentor others, collaborate with ...

Thehumanoid is hiring a VLA Pre-training Engineer (Deep Learning) in London to enhance their AI robotics through training capable policies using deep learning. You will manage complex data processes, partner with teams for data quality, and ensure continuous training cycles. Preferred qualifications include 3+ years … deep learning, proficiency in Python and frameworks like PyTorch/JAX, and effective communication. The role offers 23 days off, private healthcare, and a pension scheme. #J-18808-Ljbffr ...

Capital One Europe is seeking a Lead Data Scientist/Deep Learning Practitioner to lead the development of proprietary deep learning models for underwriting. You will drive the use of multi‐modal data and advanced neural networks to improve predictive power and deliver actionable customer insights. ...

cardiac chamber, large-vessel and pulmonary vascular analysis; identify technical limitations and prioritise changes required for heterogeneous CAPTURE-PH imaging. Develop and optimise supervised deep-learning methods for segmentation, feature extraction, classification and prediction, including retraining or fine‐tuning existing models using expert‐reviewed contours and labels where … recruitment process you can contact ClinMed‐Staffing@sheffield.ac.uk. A PhD (submitted, achieved or equivalent research/professional experience) in computer science, machine learning, medical imaging, biomedical engineering, data science or a closely related discipline. Essential (Application/interview) Strong practical experience developing deep‐learning methods for medical ...

Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. About the role: As a Principal Machine Learning Scientist , you will be the technical anchor for our core discovery engine. You will lead the machine learning strategy and execution that powers … grade engineering, directly influencing multi-objective business outcomes like user engagement, booking conversion, etc. You will tackle complex, ambiguous problems at the intersection of deep multi-task ranking, sequential user modeling, and graph-based travel recommendations. If you are passionate about building state-of-the-art AI systems ...

major healthcare provider based in London, who are seeking a Clinical AI Engineer to design, develop, validate, and deploy artificial intelligence and machine-learning systems for clinical and healthcare applications. The role sits at the intersection of clinical practice, software engineering, data science, and AI , with a strong focus … clinical decision support, clinical workflows, medical imaging, patient monitoring, or other healthcare applications. Translate clinical requirements and workflows into technical specifications and machine-learning solutions. Build, evaluate, and optimise machine-learning and deep-learning models using appropriate clinical datasets. Develop robust data pipelines for clinical, imaging ...

develop algorithms and optimizations for our LPX inference and compiler stack. You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future NVIDIA platforms. This is your chance to be part of something outstandingly innovative! What … including IR design, optimization passes, or code generation. Experience with LLVM and/or MLIR, including building custom passes, dialects, or integrations. Familiarity with deep learning frameworks such as TensorFlow and PyTorch, and experience working with portable graph formats such as ONNX.Solid understanding of parallel and heterogeneous compute ...

develop algorithms and optimizations for our LPX inference and compiler stack. You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future NVIDIA platforms. This is your chance to be part of something outstandingly innovative! What … including IR design, optimization passes, or code generation. Experience with LLVM and/or MLIR, including building custom passes, dialects, or integrations. Familiarity with deep learning frameworks such as TensorFlow and PyTorch, and experience working with portable graph formats such as ONNX. Solid understanding of parallel and heterogeneous ...

user PCs/Apple Macs to Unix equipment, eg remote desktops and file shares. To advise and assist users in the use of deep learning to analyse large datasets, including training and inference with computer vision or LLMs. To provide other general technical assistance as required, for example … staff and the Head of Scientific Computing, to propose, develop, implement, test, upgrade and maintain hardware and software solutions, especially those with application of deep learning to large datasets. To research, develop and maintain the Institute's High Performance Computer (HPC) cluster and multi-petabyte data storage systems ...

market we operate in. Our Risk ML team is building the next generation of financial crime detection at Wise - investing in modern architectures like deep learning, graph neural networks, and foundation models to detect increasingly sophisticated fraud and money laundering patterns. We're looking for a Staff Applied … Wise's FinCrime organisation, owning the full ML and AI foundation for financial crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop and Risk Modelling. You'll sit in Risk Modelling, working alongside data scientists, platform engineers, product and domain experts. We operate with high ...

SENIOR MACHINE LEARNING ENGINEER LOCATION: Central London SALARY: Negotiable WAY OF WORKING: Full Time | Contract | Hybrid Working THE SENIOR MACHINE LEARNING ENGINEER OPPORTUNITY Design, develop, and deploy scalable machine learning systems that support demand forecasting and related AI products. Build and maintain end-to-end ML pipelines … evaluation, deployment, monitoring, and optimisation. Develop large-scale data processing and feature engineering solutions using technologies such as PySpark and Databricks. Create multimodal machine learning models that combine image, text, metadata, and behavioural data to enhance forecasting and AI capabilities. Collaborate with Applied Scientists, Data Engineers, Product Managers ...

House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel. Founded in 2012 and now operating in 90+ … House has always been private‐by‐design. It embraces first‐party advertising and a relentless approach to innovation. RTB House offers end‐to‐end Deep Learning‐powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long‐term demand for a global ...

money worldwide. It helps people and businesses send money internationally, spend abroad, and make and receive international payments. Задачи Design and ship ML and deep learning models for financial crime detection, serving real-time decisions at scale Define the architecture strategy for applying modern ML to risk, including … architectural decision-making Own problems end to end, from research and architecture decisions through production deployment and impact measurement Требования Production experience shipping deep learning models at scale, serving real traffic under latency constraints Ability to make architecture-level decisions independently on model selection, training infrastructure, and serving ...