1,901 to 1,925 of 2,421 LLM Jobs in the UK

JPMorganChase in Glasgow is seeking a Lead Software Engineer to advance LLM inference performance within the AI/ML Data Platform. You will benchmark, tune, and optimize production workloads, collaborating with senior engineers to deliver fast, cost-efficient, production-ready models across the firm's AI systems. This role blends ...

different range of applications. This involves a blend of technical expertise and collaborative problem-solving to ensure both efficiency and quality throughout the entire LLM deployment lifecycle. The role includes opportunities for both IC and TL opportunities, and is open to both Software Engineering and Research Engineering backgrounds. There … bottlenecks. Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism). Familiarity with writing performance-optimized kernels. Understanding of LLM architecture and inference performance dynamics (e.g., Transformer models, memory bandwidth and compute bounds, KV cache scaling). Responsibilities: Collaborate closely with Research teams to understand ...

GenixBit Labs Pvt. Ltd. is seeking an AI Engineer in London specializing in LLM fine-tuning and Generative AI. You will work on optimizing and tailoring models for specific applications, ensuring high performance in low latency environments. The ideal candidate has over 3 years of experience in Natural Language Processing ...

JPMorgan Chase's Chief Data & Analytics Office seeks an Applied AI ML Director - NLP/LLM and Graphs to apply cutting-edge machine learning methods to complex tasks such as NLP, graph analytics, and time-series predictions. You will collaborate with business, technology, product, legal, and compliance teams to deploy ...

Meet DeepL DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today ...

Join a global model risk organization at the heart of keeping JPMorgan Chase strong and resilient. In this role, you will shape products that enable effective model risk governance across the firm. You will partner ...

Join a global model risk organization at the heart of keeping JPMorgan Chase strong and resilient. In this role, you will shape products that enable effective model risk governance across the firm. You will partner ...

JPMorganChase is seeking a Senior Lead Software Engineer to shape reliable AI infrastructure at scale. You will own LLM serving stacks, optimize performance and costs, and lead incident response across cloud and on-prem GPU clusters. The role emphasizes secure software delivery, observability, and strong engineering fundamentals. You will collaborate ...

with onshore and offshore teams to design and deliver innovative technology solutions for the front office and Credit Risk Business, using Python, FastAPI, MCP, LLM, and Java. The role focuses on building enterprise-scale, componentized applications and participating in an evolving tech stack. #J-18808-Ljbffr ...

digging into technical questions. This role spans a number of disciplines within the ML, NLP, and AI disciplines and is not just another LLM-wrapper position. If your experience is solely around using LLMs within the AI space, this role will not be for you; it is important that … system design and evaluation, as well as an understanding of the current state of the art in generative systems. You will bridge NLP pipelines, LLM-based reasoning, and knowledge graph grounding to produce outputs that are accurate, explainable, and suitable for use in regulated healthcare environments. The role combines architectural ...

AI. Job Summary: As a Generative AI Executive Director in the Chief Analytics Office, you will lead the design and delivery of production‐grade LLM systems that power mission‐critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption … scale. Job Responsibilities: You will architect scalable APIs and agentic workflows, enabling automation and efficiency across the firm. Architect and deliver production LLM‐based systems for text, image, speech, and video applications. Own end‐to‐end delivery, performance, and continuous improvement of LLM Suite products. Working closely with ML Engineering ...

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# ...

model, and production readiness standards. Decide when to use agentic AI, deterministic flows, NLU, Knowledge AI, xApps, or human handover. Define reusable patterns for LLM Prompt nodes, tool schemas, Resolve Tool Actions, context management, API integrations, fallback handling, escalation, and error recovery. Provide technical direction to Cognigy AI Engineers, review … voice AI, or agentic AI solutions. Strong hands-on Cognigy AI architecture and delivery experience, including Flows, Voice Gateway, Agentic AI tool calling, LLM Prompt nodes, Knowledge AI, xApps, Playbooks, Insights, environment management, and reusable solution patterns. Strong practical understanding of LLM prompting, tool design, tool orchestration, structured tool results ...

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 ...

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 ...

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 ...

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 ...

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 ...

Description The Alexa International Tech (AIT) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language ...

About Us Founded in the US in 2022 and now based in London, UK, Recraft is an AI tool for professional designers, illustrators, and marketers, setting a new standard for excellence in image generation. We ...

volume. This is not a prompt-engineering role, and not a research role where someone else ships your work. It's also not "LLM app" building - the output here has to compile, run and be fun, millions of times, at a cost that works. You'll work with core engineering … runtime, and play telemetry feeding back into the loop. Move playability pass rate up and cost per generation down, at volume. Run benchmark suites, LLM-as-judge and playability pass/fail checks, and show output quality improving over time. Own the economics: tiered model routing, RAG/templates, caching ...

We are seeking an AI Solutions Consultant to join Valcon’s advisory team, helping clients move from AI ambition to practical, governed and scalable delivery. This is a hands-on advisory and delivery role for ...

find the answer yourself, then turn it into a plan the team can execute. Nice to have Real exposure to agentic/LLM systems and why they change the threat model — an agent actively probes and exploits standing permissions rather than stumbling onto them. That removes the "security through obscurity … transition from long-lived secrets toward ephemereal, time-based, risk-scored credentials, scoped to task duration and issued via JWT/OIDC. Layer LLM/software guardrails (policy-as-text plus human review) on top of whatever hard guardrails are feasible across the estate. Establish an opinionated onboarding standard (e.g. ...

AI Governance Lead Location: Edinburgh - Hybrid Salary: £100,000 + Bonus We are seeking an AI Governance Lead to join a leading global consulting and technology organisation helping clients harness the potential of Artificial Intelligence ...