2,676 to 2,700 of 4,063 LLM Jobs in the UK

A financial services company in Greater London is seeking a Senior AI Engineer to design and deliver AI systems integral to their business processes. This hands-on role involves building production-grade solutions utilizing LLMs ...

Aurora Energy Research Limited is seeking a Senior AI Software Engineer to lead a team of engineers and data scientists in building cloud-based software for modelling power grids. You will own projects from initial ...

build and manage a high-performing NLP research team. You are likely to have: Significant experience in NLP, machine learning and/or LLM research. Extensive hands-on experience training and fine-tuning large language models. A strong understanding of transformer architectures and modern deep-learning techniques. Experience working with … advantageous, particularly where you have directly contributed to alpha generation or quantitative strategy development. However, we are equally interested in exceptional NLP/LLM researchers from leading technology companies, AI labs and academia who are excited by the opportunity to apply their expertise to financial markets. A genuinely technical leadership ...

across the firm. We are looking for an exceptional NLP Performance Engineer to join our NLP Engineering team and take ownership of large-scale LLM inference performance.This is a specialist Quantitative Developer role. Like all our Quantitative Developers, you will work alongside researchers to bring their ideas to life, with … work will help shape the tooling and infrastructure that underpins our NLP capabilities.Key responsibilities of the role include:Profiling, benchmarking and optimising large-scale LLM inference workloads across our compute infrastructureEnsuring efficient deployment of the latest models across a range of GPU architectures, adapting the inference stack as hardware evolvesDesigning ...

across the firm. We are looking for an exceptional NLP Performance Engineer to join our NLP Engineering team and take ownership of large-scale LLM inference performance. This is a specialist Quantitative Developer role. Like all our Quantitative Developers, you will work alongside researchers to bring their ideas to life … will help shape the tooling and infrastructure that underpins our NLP capabilities. Key responsibilities of the role include: Profiling, benchmarking and optimising large-scale LLM inference workloads across our compute infrastructure Ensuring efficient deployment of the latest models across a range of GPU architectures, adapting the inference stack as hardware ...

decisions across billions of content signals while continuously adapting to emerging content risks driven by generative AI. You will own the science strategy for LLM-powered classification and semantic understanding, real-time multimodal content evaluation, adversarial ML and adaptive model resilience, proactive risk intelligence and content risk hunting, AI-generated … will build living systems that learn and respond in real time. You will do this at internet scale, developing low-latency ML and LLM-powered systems evaluating content safety, brand suitability, misinformation risk, and emerging content risk vectors across massive real-time traffic streams, making billions of decisions ...

hands-on experience with deep learning frameworks such as PyTorch . Large-Scale Models: Experience developing ML models at scale, including programmatically querying LLMs, LLM post-training, and running experiments over massive datasets. Scientific Rigor: Demonstrated ability to apply a scientific framework to debug complex agent traces, evaluate model behaviour … Science, Computer Engineering, or a relevant technical discipline (or equivalent practical experience). Preferred Qualifications: Direct experience in generative AI, multi-agent systems, or LLM research. Advanced academic training or equivalent practical research experience in Machine Learning, AI, or a closely related quantitative field (e.g., Master’s level coursework, doctoral ...

opportunity and autonomy to have massive impact. What You’ll Work On Build and own the training framework responsible for large-scale LLM training. Design distributed training abstractions (data/tensor/pipeline parallelism, FSDP/ZeRO strategies, memory management, checkpointing). Improve training throughput and stability on multi-node … other large transformer architectures. Contributions to ML frameworks (PyTorch, JAX, DeepSpeed, Megatron, xFormers, etc.). Familiarity with evaluation and serving frameworks (vLLM, TensorRT-LLM, custom KV caches). Experience with data pipeline optimization, sharded datasets, or caching strategies. Background in performance engineering, profiling, or low-level systems. Bonus: paper ...

experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows. Experience managing complex authentication systems, token handling, and legacy user migrations. Deep domain expertise in health data systems, data reconciliation, and wearable device ...

drafting, project coordination, development follow-up, testing, launch and post-operation iteration. AI Scenario Implementation : Design and deliver AI-driven financial scenarios based on LLM, data analysis and intelligent algorithms, covering intelligent bookkeeping, automated reimbursement, financial reconciliation, risk early warning, intelligent financial reporting and audit inspection. Demand Management : Communicate with … settlement, analysis, audit and risk control), able to independently mine demands and design business scenarios. AI Product Competency : Familiar with underlying AI technologies including LLM and machine learning; capable of designing financial AI solutions and cooperating with algorithm teams for model optimization. Professional Skills : Skilled in product tools (Axure, Xmind ...

sprint than something perfect next quarter. Key Responsibilities Role Accountabilities Build AI features quickly and properly – from prompts and context design through to full LLM integration in established C# .NET codebases. Make them production-grade – error handling, fallbacks, latency management, logging, monitoring and solid evaluation before anything reaches a customer. … with a fast-moving space and spreading knowledge through code, examples and conversation. Key Activities and Contributions Design and build prompts, context strategies and LLM integrations for product features, in domains where a confidently wrong price, part match or stock answer is worse than no answer. Work primarily in C# ...

Python, C, C++, Java, JavaScript). 1 year of experience with data structures and algorithms. Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows. Preferred qualifications Experience in Java and SQL. Working with complex distributed systems and data-flow. Collaborating with teams that have different domain ...

experience with AI coding agents. For example, having extensively used and compared frontier coding agents, or having designed/developed coding agents Experience with LLM-as-a-judge setups or AI monitoring more broadly Experience designing and running experiments, analyzing results, and iterating based on empirical findings e.g. prompting, scaffolding ...

required for regulatory submissions and internal management reportingPlay a key role in advancing the risk organizations adoption of Artificial Intelligence (AI), Large Language Model (LLM) and Data Product solutions to enhance market risk analytics, automation, and strategic decision-making.Required qualifications, capabilities, and skillsSubject matter expertise in FRTB across both Internal ...

required for regulatory submissions and internal management reportingPlay a key role in advancing the risk organizations adoption of Artificial Intelligence (AI), Large Language Model (LLM) and Data Product solutions to enhance market risk analytics, automation, and strategic decision-making.Required qualifications, capabilities, and skillsSubject matter expertise in FRTB across both Internal ...

runs.Building reproducibility and regression testing infrastructure.Developing a performant fault-tolerant distributed checkpointing system.Key Responsibilities:Build and own the training framework responsible for large-scale LLM training.Design distributed training abstractions (data/tensor/pipeline parallelism, FSDP/ZeRO strategies, memory management, checkpointing).Improve training throughput and stability on multi-node … training LLMs or other large transformer architectures.Contributions to ML frameworks (PyTorch, JAX, DeepSpeed, Megatron, xFormers, etc.).Familiarity with evaluation and serving frameworks (vLLM, TensorRT-LLM, custom KV caches).Experience with data pipeline optimization, sharded datasets, or caching strategies.Background in performance engineering, profiling, or low-level systems.Bonus: paper at top-tier ...

communication skillsAre passionate about the potential impact of AI and are committed to developing safe and beneficial systemsStrong candidates may have:Familiarity with LLM architectures and training methodologiesExperience with reinforcement learning techniques and environmentsExperience with virtualization and sandboxed code execution environmentsExperience with KubernetesExperience with distributed systems or high-performance computingExperience ...

Nationwide is seeking a hands-on AI Engineer to turn emerging AI technologies into practical solutions that deliver real business value. You will design, build and deploy AI-powered products using Azure AI Foundry, Azure ...

J.P. Morgan in London seeks an Applied AI Scientist to advance ML and generative AI capabilities. You will design experiments, implement production-ready solutions, and collaborate with product, data, software, and ML teams to deploy ...

particular) Practical experience with model deployment workflows - loading, format conversion, quantisation, or framework integration Comfortable working with inference serving stacks (for example vLLM, TensorRT‐LLM, or similar) Familiarity with Linux, containerisation (Docker), and cluster environments Comfortable in a customer‐facing role, able to communicate clearly with ML and infrastructure engineering ...

integral part of the IPB Tech AIML team, reporting to the Head of AI, IPB Tech. Job responsibilities Leads applied research into open-source LLM evaluation and deployment for cost, sovereignty, and data-residency optionality Runs fine-tuning work for tone, lexicon, and domain-specific tasks that are currently brittle ...

Candidate profile: - Consulting background with demonstrable delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong stakeholder ...

Candidate profile: - Consulting background with demonstrable delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong stakeholder ...

Candidate profile: - Consulting background with demonstrable delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong stakeholder ...

Head of Machine Learning We're partnering with an innovative AI-first technology company on a mission to redefine how people manage tasks, conversations, organisation, and workflows. Their flagship product is an intelligent assistant designed ...