2,651 to 2,675 of 2,913 LLM Jobs in England

J.P. MORGAN is seeking an Applied AI ML Director specializing in NLP/LLM and graphs to apply advanced ML techniques to real-world problems. The role emphasizes collaboration across business and technology teams to deploy scalable AI solutions with a strong focus on governance and regulatory compliance. The candidate ...

IQVIA is seeking a Senior AI Platform Engineer to define and deliver the infrastructure strategy underpinning its LLM programmes. You will provide technical leadership across compute, data, model lifecycle management, and platform engineering, ensuring research innovations can be transformed into secure, scalable, production-ready AI solutions. You will partner with ...

Economist Group AI Lab is seeking a skilled NLP/LLM engineer to fine-tune models, curate datasets, and build RAG pipelines using structured content. You will prototype TTS pipelines for audio-first products and collaborate with editors to align generation with the editorial voice. You will define generation quality ...

create advanced AI applications that address complex problems through robust workflows and multi-agent orchestration. The ideal candidate will have hands-on experience with LLM APIs, strong Python skills, and a solid understanding of cloud platforms. This role offers a collaborative environment with opportunities for career growth and competitive salary ...

Pangaea Data Limited is seeking an AI Engineer to build and productise LLM and agent capabilities within its AI Platform. You will own problems from definition to deployment, turning patient notes, FHIR data and clinical guidelines into structured outputs and integrating tools and retrieval workflows. You will work with clinicians ...

Hamilton Barnes Associates Limited is seeking a Customer-Facing AI Data Scientist to lead LLM-driven engagements for enterprise clients. You will architect training pipelines, fine-tune models, and translate client needs into actionable technical plans, partnering with sales and delivery teams to ensure commercially viable outcomes. The role requires ...

Harnham invites applications for a Senior AI Engineer to build production-grade LLM systems and shape a new AI Lab focused on next-generation AI-powered consumer experiences. You will work in a small, high-autonomy team inside a global organisation, collaborating with engineering, product and design on greenfield ...

Data/AI Engineer (Databricks) to drive production-ready data and AI solutions across ~1,000 sites. The role focuses on Databricks engineering, LLM pipelines, and agent development, delivering hands-on delivery rather than advisory work. The contract is initially 6 months with remote working. You will own ingestion, model ...

will own the development of the NLP system that extracts structured intelligence from unstructured data across health and social care. Your role involves designing LLM-based processing and developing embedding infrastructure. Ideal candidates will have relevant degrees, programming experience, and 3+ years in an NLP or ML role. The company ...

London Stock Exchange Group (LSEG) invites a Principal Applied Data Scientist to lead hands-on NLP/LLM initiatives within the LSEG Workspace. You will design, build, test, and deploy production-grade AI solutions used by financial professionals and collaborators across teams. You will work with cutting-edge NLP tooling ...

Engineer to push the boundaries of applied AI across customer-facing chatbots and document processing. You will craft production-ready Python services, expand LLM-enabled actions, and design robust data workflows that automate complex credit-related processes. You will work in a hybrid London-based setup, collaborating with product ...

parsers. You will own discovery through deployment, working with data, models, and automation to deliver tangible improvements. Role focuses on hands-on Python development, LLM-led workflows, and designing scalable pipelines in a fast-growing fintech environment. Hybrid in-office requirements apply to some roles. #J-18808-Ljbffr ...

that ingest knowledge bases, conversations, tickets, and logs, producing reliable instructions with confidence scoring. The role covers extending learning libraries, designing end-to-end LLM-powered workflows, and collaborating directly with enterprise customers to move ideas from prototype to production. #J-18808-Ljbffr ...

responsibilities include building scalable systems and collaborating with various teams. The ideal candidate should have a strong software engineering background and experience with LLM-powered systems. Competitive compensation and numerous benefits are offered, including 35 days of annual leave. #J-18808-Ljbffr ...

energised by the scale of the challenge, we’d love to hear from you. About the Role Choosing between algorithmic strategies for multi‐step LLM work is a measurement problem, and most teams solve it badly: comparisons run case by case, by whoever needs them that week, on whatever task … authorship of a benchmark or evaluation paper at a recognised venue – NeurIPS Datasets and Benchmarks, ICML, ICLR, ACL – ideally on agentic or LLM evaluation, or a comparably rigorous evaluation contribution A working understanding of how LLM and agent evaluation goes wrong: contamination, over‐fitting to benchmarks, weak baselines, under‐powered ...

training instability Build and maintain research infrastructure: training pipelines, experiment tracking, and evaluation harnesses Publish papers and engage with the broader RL and LLM research community Collaborate closely with the engineering team to bring research innovations into production training Requirements We're looking for exceptional individuals who can operate … step RL tasks and the specific challenges they present Experience with distributed training infrastructure and running experiments at scale on GPU clusters Background in LLM training methodologies (pre-training, post-training, fine-tuning) Experience working at a frontier lab on critical path research About General Reasoning General Reasoning ...

core research team on the systems they live inside. What we’re looking for High‐performance, large‐scale distributed systems experience, preferably for LLM workloads. Proficiency in Python and PyTorch or JAX. Hands‐on experience with large‐scale LLM training or inference technologies, e.g., SGLang, vLLM, verl, Megatron, OpenRLHF. Good ...

/post-training (SFT, DPO, RLHF/RLAIF) at scale Data engineering & synthetic data pipelines Agentic frameworks, reasoning, tool use, memory systems Evaluation & benchmarking (LLM-as-judge, safety/alignment metrics) Inference optimisation (quantization, distillation, vLLM/TensorRT-LLM) Requirements: - PhD or Master's in CS/AI/ ...

this sprint than something perfect next quarter. Key Responsibilities: Role AccountabilitiesBuild 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. … understand the business problem properly, because the best prompt cannot rescue a misunderstood requirement. Systems, Tools and TechnologyC# .NET (primary development language)Large language model APIs across multiple providersAI coding tools: GitHub Copilot, Cursor or equivalentsPrompt engineering and context design patternsRetrieval-augmented generation (RAG), vector search, embeddings (desirable)Evaluation frameworks ...

this sprint than something perfect next quarter. Key Responsibilities: Role AccountabilitiesBuild 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. … understand the business problem properly, because the best prompt cannot rescue a misunderstood requirement. Systems, Tools and TechnologyC# .NET (primary development language)Large language model APIs across multiple providersAI coding tools: GitHub Copilot, Cursor or equivalentsPrompt engineering and context design patternsRetrieval-augmented generation (RAG), vector search, embeddings (desirable)Evaluation frameworks ...

this sprint than something perfect next quarter. Key Responsibilities: Role AccountabilitiesBuild 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. … understand the business problem properly, because the best prompt cannot rescue a misunderstood requirement. Systems, Tools and TechnologyC# .NET (primary development language)Large language model APIs across multiple providersAI coding tools: GitHub Copilot, Cursor or equivalentsPrompt engineering and context design patternsRetrieval-augmented generation (RAG), vector search, embeddings (desirable)Evaluation frameworks ...

know when to automate and when to seek human input. We're looking for Forward Deployed AI Engineers who have built complex, production LLM-based systems, and want to work directly with our enterprise customers. Whether you've scaled LLM workflows handling millions of requests, built multi-agent systems … problems, prototype solutions, and ship them to production Own customer engagements from discovery and solution design through production, adoption, and expansion. Design and implement LLM-powered systems and agentic workflows from concept to production Use and extend our core context-learning library to solve customer problems, contributing reusable capabilities ...

team with expertise developing and analysing attacks and protections for systems based on large language models or who have broader experience with frontier LLM research and development. An ideal candidate would have a strong track record of performing and publishing novel and impactful research in these or other areas … LLM research. We’re looking for: Research Scientists , who typically lead technical direction –pickingthe questions, designingthe experiments, and owningthe conclusions (typicallyevidencedby a strong publication record). Research Engineers , who typically lead execution – building the systems and code that make thoseexperimentspossible at scale, and owningreliability, speed, and reproducibility. In practice, wecan ...

Meltwater product (searches, dashboards, boolean logic). The Success Architect owns everything on the other side of the connector: how a customer uses an LLM platform to turn Meltwater data into reports, briefs, and decisions, and how they responsibly combine that data with other sources they're bringing into … ahead of them. What You’ll Do: Partner with customers from implementation onward to design how they'll use MCP and LLM platforms to work with Meltwater data, setting the technical and workflow foundation early so adoption sticks Help customers build skills, agents, and repeatable workflows that turn raw Meltwater ...

team With Expertise Developing And Analysing Attacks And Protections For Systems Based On Large Language Models Or Who Have Broader Experience With Frontier LLM Research And Development. An Ideal Candidate Would Have a Strong Track Record Of Performing And Publishing Novel And Impactful Research In These Or Other Areas … LLM Research. We’re Looking For Research Scientists, who typically lead technical direction – picking the questions, designing the experiments, and owning the conclusions (typically evidenced by a strong publication record). Research Engineers, who typically lead execution – building the systems and code that make those experiments possible at scale ...