2,451 to 2,475 of 2,915 LLM Jobs in England

Job Title: Senior Agentic AI Engineer Location: Hertfordshire Salary: up to £120,000 DOE This is a unique opportunity for an experienced AI engineer to join a specialised team in virtual design for a wide ...

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies ...

Senior Software Engineer | Northampton | £45-55k My client is an engineering-led technology company specialising in intelligent imaging and connected systems, developing innovative products that combine software, hardware, data processing, and cloud-based services ...

refine your craft as a research engineerCare about the societal impacts of AI and responsible scalingStrong Candidates May Also Have: Previous experience training LLM's or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scaleContributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh ...

passionate about applying the latest advancements in LLMs to create user-centric products. In this role, you will stay on top of the latest LLM trends, build evaluation frameworks for AI features, and apply your knowledge with a product-oriented focus. You will be an integral part of the founding … work will be pivotal in scaling Granola to its next 100x growth milestone. In this role, you will: Own the development and application of LLM-based features end-to-end Build and maintain evaluation frameworks for prompt iteration and semantic retrieval Optimize embeddings and vector stores for performance and scalability ...

passionate about applying the latest advancements in LLMs to create user-centric products. In this role, you will stay on top of the latest LLM trends, build evaluation frameworks for AI features, and apply your knowledge with a product-oriented focus. You will be an integral part of the founding … work will be pivotal in scaling Granola to its next 100x growth milestone. In this role, you will: Own the development and application of LLM-based features end-to-end Build and maintain evaluation frameworks for prompt iteration and semantic retrieval Optimize embeddings and vector stores for performance and scalability ...

慨正橡扯 is seeking an MLOps Engineer (LLM/GenAI) based in Sheffield, UK, to engineer production-grade infrastructure for modern AI. The ideal candidate will design scalable model hosting platforms, optimise inference performance, and build fine-tuning pipelines. This role requires deep expertise in AI platforms, particularly in LLMs ...

need to see: A graduate degree from a leading university in a STEM related discipline. 5+ years of hands-on experience running the large language model lifecycle across multi-node systems: training, fine-tuning, inference, serving, and/or agentic workflows. Strong collaboration and communication skills, with the ability … Experience with NVIDIA's AI software stack, powered by CUDA and CUDA-X libraries, e.g. NVIDIA AI Enterprise, NeMo Framework, Megatron Bridge, NIM, TensorRT-LLM, Dynamo, NeMo Agent Toolkit, and Triton Inference Server, as well as the Nemotron open-model methodology. As a Solutions Architect, there is travel involved ...

JPMorgan Chase's Chief Data & Analytics Office (CDAO) invites applications for an Applied AI ML Director – NLP/LLM and Graphs. This role will apply sophisticated machine learning methods to NLP, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with diverse teams to deploy ...

Job summary Autonomous Labs is building the next generation of AI-driven scientific laboratories, with the mission of automating the entire scientific discovery workflow - from experimental design and execution to analysis and iterative learning. Foundation ...

JPMorgan Chase & Co. is seeking an Applied AI ML Lead to design and deliver production-grade AI/ML solutions for the LLM Suite platform. This role requires hands-on engineering, architecture ownership, and collaboration with engineering teams to implement secure and high-quality software. Ideal candidates should have ...

build the platform that converts raw neuro-signals into longitudinal patient insights. You will join the CoVision project to develop an on-device LLM system for neuromonitoring, ensuring reliability, safety, and regulatory compliance across a deployed fleet. You will work in a hybrid setting with at least four days ...

oversee the AI strategy, crafting agentic systems that analyse millions of documents to extract critical factual information for winning cases. You will design LLM agents, develop robust evaluation pipelines, and drive prompt engineering while balancing token limits, cost and latency. #J-18808-Ljbffr ...

continuer à innovant dans le domaine des LLMs et agents. Missions principales: Développement de 2+ applications AI sur @PlayStore Construction propre d'un modèle LLM Collaboration avec 3+ startups AI Profil recherché: Compétence en python et image processing Expérience dans le développement d'applications AI Certifications de Startup India, StartupUP ...

deployed engineer who ships AI-enabled solutions in production, focusing on safe, scalable Python-based implementations and API integrations. The role emphasizes production-grade LLM workflows, guardrails, evals, cost and latency optimization, and collaboration with Decisioning and Data Science teams to deliver load-bearing capabilities. #J-18808-Ljbffr ...

real business outcomes. You'll collaborate with ML engineers and software engineers to take prototypes into production, own data science aspects of a live LLM system, and translate insights into measurable, defensible metrics #J-18808-Ljbffr ...

used to an AI environment, have built out and maintained LLMs and the associated infrastructure for complex systems, ideally multi agent. Building LLM pipelines is second nature, you have evaluated and proved LLM pipelines too, constantly optimising to ensure smooth operations. The tools you use don't matter ...

Summary We are looking for a researcher/research engineer to help mitigate the security risks that come with building AI systems-especially LLM-powered web agents and chatbots. In this role, you'll design and implement secure-by-design architectures, audit our LLM-powered web agent (https://… direction on how we identify, measure, and reduce security risk across AI products. Responsibilities Design and execute adversarial evaluations to uncover failure modes in LLM-powered web agents and chatbots (e.g., prompt injection, tool abuse, data exfiltration) Analyze model behavior (including internal thoughts) to understand and forecast security risks ...

highly creative, fast-paced and interdisciplinary environment, you will be partnering with leading research scientists and engineers to conceive, design, and develop cutting edge LLM applications that help to unlock new modelling capabilities and predictive power which will be critical to the organisation's success. You will draw upon your … core research in machine learning by pushing the boundaries of Large Language Models in their application to the world of drug discoveryDevelop and refine LLM-driven approaches for multiple use cases across our research areas, using your extensive knowledge of the field to modify and apply models and explore their ...

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 ...

month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences. LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling … Vanta, Workday, and more. About the role Location: London, UK Work closely with companies on the frontier of LLM-applications, bringing ideas to production-ready apps Collaborate on a wide variety of LLM-apps from concierge search, codegen, agentic co-pilots and more Give technical demos the entire suite ...

that are used by millions of customers every day. Data-savvy: A knack for getting your hands dirty with data using SQL, or Python. LLM Experience: You'll be surrounded by experts and encouraged to build LLM-powered insights and workflows from day one. You will need familiarity with LLMs. ...

good enough to ship" means for AI features What you bring Backend engineering in TypeScript (or comparable), with 1-2+ years shipping production LLM features Experience with agent frameworks, tool calling, and multi-step orchestration Production evals: dataset curation, LLM-as-judge failure modes, regression testing under model swaps ...