101 to 125 of 625 LLM Jobs in England

team. An interest in financial technology and improving access to financial services. Desirable experience Banking, fintech, payments or another regulated sector. Delivering AI or LLM features into live products. Cloud platforms such as AWS, Azure or GCP. Containers and infrastructure as code. Mentoring colleagues or helping establish engineering practices. ...

Experience with Microsoft Azure - deploying and managing cloud-hosted applications, with App Insights for monitoring. Active use of AI coding assistants and experience integrating LLM APIs and building agentic workflows or MCP servers. Strong working knowledge of security principles including OWASP Top 10, GDPR, and ISO27001. Experience in a small ...

with clients on exciting AI transformation projects Build and deploy real-world AI-powered applications Strong exposure to Python, Hugging Face, LangChain, Pinecone and LLM technologies Combine Full-Stack Engineering, Applied AI and Client Delivery Work closely with senior business stakeholders and technical decision-makers Take ownership of projects from ...

Assess engagements - the prototype is the discovery tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony Engineering for production ...

deployment principles Desirable exposure: Accessibility and performance standards Cloud platforms (Azure and/or AWS) CI/CD pipelines Technical architecture concepts AI/LLM tooling About You An experienced senior developer with a strong track record of delivery Detail-driven, quality-focused and methodical in your approach to problem ...

engineering excellence are key to success.What the role covers:Designing, developing, optimizing, and enhancing a GenAI prompt security platform to protect firm AI/LLM-based applications from adversarial attacks and prompt injections.Building and automating a security testing framework to validate protection mechanisms for various LLM use cases.Owning solutions that …/or Go, and associated tooling (Git, Maven, IDEs, Jenkins, Bitbucket etc)Expertise in designing and implementing secure APIs and libraries.Experience in Generative AI, LLM frameworks, LLM prompt engineering and/or adversarial testing is a bonus.Experience with Cyber engineering and Operations, which could include DevSecOps or MLSecOps.Experience contributing ...

challenges The latest technology solutions from industry and academia and how to apply them to solve real world customer problems As a Full Stack LLM Development Associate Manager - Anthropic/Claude, you will: Design, build, test and operate Claude-powered web applications, APIs, copilots and agentic workflows from inception through … Vertex AI, with broader AWS, Google Cloud or Microsoft Azure experience. DevSecOps, containers, infrastructure as code, cloud security, monitoring, scaling, resilience and operational support. LLM evaluation, prompt and agent testing, tracing, observability, responsible AI controls and token/cost optimisation. Experience leading engineering delivery, reviewing code, mentoring developers and converting ...

node classification, link prediction, embeddings, and Graph Neural Networks. Design GraphRAG and knowledge-grounded security assistants that combine graph traversal, vector retrieval, structured evidence, LLM reasoning, citations, and human approval controls. Partner with SOC, threat intelligence, IAM, vulnerability management, cloud security, architecture, data engineering, and product teams to convert operational … Practical use of MITRE ATT&CK, STIX/TAXII, CVE, CWE, CAPEC, NIST frameworks, CIS Controls, and common threat-intelligence vocabularies. GenAI and GraphRAG: LLM-based extraction, retrieval orchestration, agent/tool integration, prompt design, evaluation, grounding, guardrails, explainability, and evidence traceability. MLOps and observability: Experiment tracking, model versioning, deployment ...

through to robust, production-ready applications for enterprise clients. What you'll be doing: Build production applications and APIs using Python and FastAPI Develop LLM, RAG and AI agent solutions Build RAG pipelines covering embeddings, retrieval and generation Work with OpenAI, Anthropic, Mistral, Llama and similar LLMs Use LangChain, LangGraph … databases Experience with CI/CD using GitHub, GitLab or Jenkins Agile engineering experience Experience with AI agents, tool calling, embeddings, prompt engineering or LLM observability is beneficial React/TypeScript and Terraform/IaC experience is beneficial Experience taking GenAI POCs into production is highly beneficial Why this role ...

through to robust, production-ready applications for enterprise clients. What you'll be doing: Build production applications and APIs using Python and FastAPI Develop LLM, RAG and AI agent solutions Build RAG pipelines covering embeddings, retrieval and generation Work with OpenAI, Anthropic, Mistral, Llama and similar LLMs Use LangChain, LangGraph … databases Experience with CI/CD using GitHub, GitLab or Jenkins Agile engineering experience Experience with AI agents, tool calling, embeddings, prompt engineering or LLM observability is beneficial React/TypeScript and Terraform/IaC experience is beneficial Experience taking GenAI POCs into production is highly beneficial Why this role ...

Entity: Technology Job Family Group: IT&S Group Job Description: Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil ...

We're supporting a leading technology consultancy that is expanding its AI practice and is looking for a Senior AI Engineering Consultant to help deliver innovative AI-powered solutions for enterprise clients. This is an ...

We're supporting a leading technology consultancy that is expanding its AI practice and is looking for a Senior AI Engineering Consultant to help deliver innovative AI-powered solutions for enterprise clients. This is an ...

optimisation of production machine learning services. Collaborate with data scientists and machine learning practitioners to operationalise models at scale. Contribute to the deployment of LLM-based solutions, including product retrieval and AI-driven content processing applications. Your Skills & Experience Strong experience in MLOps, machine learning engineering, or production ML deployment. ...

from initial design through implementation. What we're looking for Strong product-engineering fundamentals and experience delivering user-facing software. A deep understanding of LLM behaviour , beyond prompting and basic API integration. Experience building agents that use tools and interact with backend services. Sound judgement around model selection, evaluation ...

Knowledge of parallel computing, storage solutions and high-performance networking. Understanding of scientific and engineering applications. Understanding of AI methods, machine learning and large language model training/inference infrastructure. Existing relationships within the UK HPC and AI community. Familiarity with UK public procurement and framework agreements. Negotiation experience ...

government deployments. This is an opportunity to build and operate large-scale production systems, solve complex engineering challenges and use automation, AI and LLM technologies to improve reliability. The role • Build, operate and maintain scalable, high-performance production services. • Own infrastructure reliability, including monitoring, alerting, configuration management and upgrades. • Collaborate ...

products Experience integrating LLMs or AI services into applications , rather than solely using AI as a development tool Understanding of areas such as LLM APIs, orchestration, agents, RAG, guardrails and observability AWS experience, ideally including exposure to Amazon Bedrock JavaScript/TypeScript and modern web engineering experience Experience with Node.js ...

products Experience integrating LLMs or AI services into applications , rather than solely using AI as a development tool Understanding of areas such as LLM APIs, orchestration, agents, RAG, guardrails and observability AWS experience, ideally including exposure to Amazon Bedrock JavaScript/TypeScript and modern web engineering experience Experience with Node.js ...

products Experience integrating LLMs or AI services into applications , rather than solely using AI as a development tool Understanding of areas such as LLM APIs, orchestration, agents, RAG, guardrails and observability AWS experience, ideally including exposure to Amazon Bedrock JavaScript/TypeScript and modern web engineering experience Experience with Node.js ...

products Experience integrating LLMs or AI services into applications , rather than solely using AI as a development tool Understanding of areas such as LLM APIs, orchestration, agents, RAG, guardrails and observability AWS experience, ideally including exposure to Amazon Bedrock JavaScript/TypeScript and modern web engineering experience Experience with Node.js ...

products Experience integrating LLMs or AI services into applications , rather than solely using AI as a development tool Understanding of areas such as LLM APIs, orchestration, agents, RAG, guardrails and observability AWS experience, ideally including exposure to Amazon Bedrock JavaScript/TypeScript and modern web engineering experience Experience with Node.js ...

products Experience integrating LLMs or AI services into applications , rather than solely using AI as a development tool Understanding of areas such as LLM APIs, orchestration, agents, RAG, guardrails and observability AWS experience, ideally including exposure to Amazon Bedrock JavaScript/TypeScript and modern web engineering experience Experience with Node.js ...

products Experience integrating LLMs or AI services into applications , rather than solely using AI as a development tool Understanding of areas such as LLM APIs, orchestration, agents, RAG, guardrails and observability AWS experience, ideally including exposure to Amazon Bedrock JavaScript/TypeScript and modern web engineering experience Experience with Node.js ...

products Experience integrating LLMs or AI services into applications , rather than solely using AI as a development tool Understanding of areas such as LLM APIs, orchestration, agents, RAG, guardrails and observability AWS experience, ideally including exposure to Amazon Bedrock JavaScript/TypeScript and modern web engineering experience Experience with Node.js ...