326 to 350 of 431 Deep Learning Jobs in the UK

product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit … solutions we deliver for our clients. As a Customer AI Developer Specialist, you will: Play a key part in delivering impactful Machine Learning (ML) and Generative AI solutions across a variety of industries and use cases. From solving complex business problems to deploying scalable AI models, you'll operate ...

achievable improvements that get used every day.We’ll Count on You To:Design and build ML/AI solutions (classical ML + modern deep learning/LLM approaches) aligned to product outcomes. Demonstrate proficiency in full-stack technologies for enterprise-scale websites and applications.Work as part … Owner and stakeholders to understand business needs, define and develop applications/architecture, design, review, implement and optimize Engineering processes.Build data expertise and a deep understanding of business domain knowledge and own data quality for allocated areas of ownershipMaintain and enhance microservices based components for the application suite.Recommend, create ...

achievable improvements that get used every day.We’ll Count on You To:Design and build ML/AI solutions (classical ML + modern deep learning/LLM approaches) aligned to product outcomes. Demonstrate proficiency in full-stack technologies for enterprise-scale websites and applications.Work as part … Owner and stakeholders to understand business needs, define and develop applications/architecture, design, review, implement and optimize Engineering processes.Build data expertise and a deep understanding of business domain knowledge and own data quality for allocated areas of ownershipMaintain and enhance microservices based components for the application suite.Recommend, create ...

languages such as Python, TypeScript/JavaScript, Java, or C++.2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelinesFamiliarity with cloud-based machine learning tools and platforms (e.g. … Azure)Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasetsExcellent written and verbal communication skills to collaborate effectively in a cross-functional environmentNice to haves:Experience working at a startup, particularly as founding engineerExperience building and deploying large-scale AI solutionsStrong ...

globally for its attitudes and rigour more importantly, you will be surrounded by smart people deeply interested in teaching what they know, and in learning from you.You will join the quant team, designing, analysing and improving sport prediction models and high frequency trading strategies. You’ll be part … testing data.Quant Analysts Must Ideally Have:Comp Ski, Maths, Stats or Engineering degree.Outstanding background in probability and statisticsExperience and interest in modern machine learning techniques, for example, deep learning, Bayesian methods and graphical modelsProgramming experience with python, julia or RYou will be joining a progressive and exciting ...

looking for a talented Senior Algorithms Engineer to join an innovative engineering team developing advanced machine learning and computer vision solutions for complex, real-world applications. This is an exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer vision … technically challenging projects, influence future development activities, and support the growth of engineering capability through collaboration and mentoring. Key Responsibilities Develop and optimise machine learning and computer vision algorithms for real-world applications. Investigate complex technical challenges, designing experiments and approaches to identify effective solutions. Analyse datasets, model performance ...

your penultimate/final year of education. Experience in one or more research areas; natural language understanding/processing, computer vision, LLMs, machine learning, algorithmic foundations of optimization, data mining, machine intelligence (Artificial Intelligence), AI/ML algorithms, deep learning or image processing, multimodal, multilingual and reinforcement … extend and improve on Google's product offering. Contribute to a wide variety of projects utilising natural language processing, artificial intelligence, data compression, machine learning, and search technologies. Please complete your application before 23rd October 2026. We encourage you to apply as early as possible as we review applications ...

high-impact publication. Shaping the research agenda by identifying high-impact projects that balance scientific rigour with real-world relevance. Contributing thought leadership and deep technical expertise to support wider evaluation and red-teaming efforts. Supporting our positioning as a global leader through active external engagement with frontier labs … from framing novel problems to generating high-quality research artifacts. Passion for technical AI safety, whether developed in academia, industry labs, or evaluation roles. Deep knowledge of language models and generative AI architectures, including white-box techniques beyond API-level access. Strong foundation in machine learning fundamentals, particularly ...

architectures. Passion for software design and commitment to the development of reusable, scalable, and testable software components. Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow). Hands-on experience with Google Cloud Platform, in particular the services we build on: Cloud Run, Google … Artifact Registry, Cloud SQL. Fluency in English. Preferred Qualifications & Skills If you have the following characteristics, it would be a plus: Familiarity with machine learning principles and state-of-the-art modelling approaches. Experience in design, development and deployment of commercial cloud-native software and infrastructure. Experience building ...

Firm the company is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 53,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues … have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. the company has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing well ...

opportunity to work at the heart of data science, research and public policy. Advanced Analytics is hiring a Senior Data Scientist to develop machine learning (ML) and Artificial Intelligence (AI) solutions, with a focus on robust prototyping. We have pioneered the application of new analytical approaches in the Bank … England, such as generative AI, machine learning, natural language processing, agent-based models, network analytics, and randomised control trials. We’re looking for someone with ML/AI expertise to help us continue pushing the organisation’s analytical frontier to inform policymaking. DAT is leading the transformation ...

opportunity to work at the heart of data science, research and public policy. Advanced Analytics is hiring a Senior Data Scientist to develop machine learning (ML) and Artificial Intelligence (AI) solutions, with a focus on robust prototyping. We have pioneered the application of new analytical approaches in the Bank … England, such as generative AI, machine learning, natural language processing, agent-based models, network analytics, and randomised control trials. We’re looking for someone with ML/AI expertise to help us continue pushing the organisation’s analytical frontier to inform policymaking. DAT is leading the transformation ...

operate at the cutting edge of AI/ML, working across areas including:Computer VisionReinforcement LearningLarge Language Models (LLMs)Natural Language Processing (NLP)Deep Learning and advanced ML techniquesNovel algorithm development and experimentationA key part of the role is taking academic research and state-of-the-art techniques ...

seeking a skilled and motivated Computer Vision Engineer to join our team. In this role, you will bridge the gap between high-level machine learning research and high-performance production environments. You will be responsible for building robust SDKs, automating deployment pipelines, and ensuring our models run efficiently across … performance software development kits (SDKs) to expose computer vision capabilities to end-users and internal products.Model Deployment and Integration Port, convert, and deploy machine learning models across various hardware targets, including Qualcomm SoCs, Intel CPUs, and NVIDIA GPUs.Performance OptimizationUse hardware-specific toolkits to optimize model throughput without sacrificing accuracy.Evaluation ...

breakthrough technology of personalised medicine. Since the beginning, our proprietary insight has always been that the company to create a true active learning data engine with a loss function against human wellbeing would be the one to crack it, becoming one of the most impactful companies in the world … stakes, you belong at Anima. Your work here will save lives. - Shun Long before the "vertical AI" craze, we were obsessed with active reinforcement learning—a niche field in 2021 that the world, pre-ChatGPT, largely ignored. Our trajectory has been unwavering since our YC application: achieving the "holy ...

capabilities, and skills Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application Experience in tackling real world data science problems, end-to-end from prototype … production, using Python Excellent communication skills (both verbal and written) and the ability to present findings to a non-technical audience Passion for learning, sharing knowledge, building collaborations, and getting things done Preferred qualifications, capabilities, and skills Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub ...

capabilities, and skills Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application Experience in tackling real world data science problems, end-to-end from prototype … production, using Python Excellent communication skills (both verbal and written) and the ability to present findings to a non-technical audience Passion for learning, sharing knowledge, building collaborations, and getting things done Preferred qualifications, capabilities, and skills Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub ...

seeking a skilled and motivated Computer Vision Engineer to join our team. In this role, you will bridge the gap between high-level machine learning research and high-performance production environments. You will be responsible for building robust SDKs, automating deployment pipelines, and ensuring our models run efficiently across … software development kits (SDKs) to expose computer vision capabilities to end-users and internal products. Model Deployment and Integration Port, convert, and deploy machine learning models across various hardware targets, including Qualcomm SoCs, Intel CPUs, and NVIDIA GPUs. Performance Optimization Use hardware-specific toolkits to optimize model throughput without ...

question to high-impact publication.Shaping the research agenda by identifying high-impact projects that balance scientific rigour with real-world relevance.Contributing thought leadership and deep technical expertise to support wider evaluation and red-teaming efforts.Supporting our positioning as a global leader through active external engagement with frontier labs … industry labs, or evaluation roles.Deep knowledge of language models and generative AI architectures, including white-box techniques beyond API-level access.Strong foundation in machine learning fundamentals, particularly in robustness, explainability, or uncertainty estimation.Proficiency with deep learning frameworks like PyTorch and the Python skills required to build robust ...

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 … reference solutions. Your work will influence long-term platform evolution and help shape the architecture, software stack and tooling that underpins large-scale machine learning computation. Key responsibilities Collaborating with researchers, senior stakeholders and engineers to understand their compute challenges and design optimised solutions. Profiling, benchmarking and tuning large ...

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 … reference solutions. Your work will influence long-term platform evolution and help shape the architecture, software stack and tooling that underpins large-scale machine learning computation. Key responsibilities of the role include: Collaborating with researchers, senior stakeholders and engineers to understand their compute challenges and design optimised solutions. Profiling ...

usYou hold a degree (or PhD) in a STEM discipline or an equivalent commercial experience.You bring hands-on experience with sophisticated architectures, such as deep learning, graph-based, or sequence-based models (experience in Fintech, Fraud Prevention, or Payments is a big plus).You can translate complex … concepts into practical product solutions and communicate these ideas clearly to non-technical peers.You are comfortable owning the full lifecycle, from deep-dive analysis and feature engineering to prototyping, validation, and live A/B testing.You lead by example, writing clean, high-quality code and raising the team ...

international consortium to deliver cutting-edge translational research.In this role you will:Develop and apply advanced AI methods, including multimodal foundation models and deep learning, to analyse complex neurotechnology and clinical datasets.Work with multimodal data including EEG, fNIRS, MRI, movement analysis and clinical assessments to develop explainable … data, and enjoy working collaboratively within a multidisciplinary research environment.Essential:A PhD (or equivalent experience and professional qualification) in Artificial Intelligence, Computer Science, Machine Learning, Biomedical Engineering, Computational Neuroscience or a closely related discipline.Experience developing AI or machine learning methods using frameworks such as PyTorch and/ ...

model training. This isn't traditional DevOps. It isn't conventional MLOps. It's a rare opportunity to sit at the intersection of machine learning, distributed systems, cloud infrastructure and robotics. What you'll do:Design and own our large-scale AI training infrastructure.Scale distributed model training across hundreds … background, but titles matter less than experience. We're particularly interested in people with experience in:Large-scale distributed training.PyTorch and modern deep learning frameworks.Kubernetes, Slurm or GPU orchestration platforms.AWS and specialist GPU cloud providers.High-performance computing and distributed systems.Training optimisation, memory management and networking.MLOps tooling, CI/ ...

full model lifecycle, from data preparation through to production and you will translate research decisions into systems that set the direction for how machine learning operates across Klarna. You will be part of a small, high ownership team where what you build has genuine impact on the products Klarna … ships. Who you are Deep understanding of transformer architectures and sequence modelling, with the ability to reason through architectural tradeoffs Hands-on experience designing tokenisation schemes for heterogeneous feature types such as numerical, categorical, and temporal Proficiency in Python, PyTorch, SageMaker, and Airflow Experience owning the full model lifecycle ...