526 to 550 of 2,795 LLM Jobs in England

later- You use AI coding tools every day, can refactor a largely agent-written codebase, and read what the agents produce- You have shipped LLM features to production, not just prototypes: structured output, validation, batch versus live calls, cost per item and evaluation- You have built for external users: authentication ...

Solutions Associateing, or a similar hands-on technical roleSolid foundation in web development (JavaScript/TypeScript, APIs, modern frameworks)Familiarity with AI-powered development – LLM APIs, prompt engineering, or basic RAG conceptsA demonstrated flair for creative problem-solving - professional experience, side projects, or examples of unconventional solutions all countStrong communication ...

skills in one or more relevant languages, such as Python or JavaScript , alongside experience working with AI/ML technologies. Hands‐on experience with LLM APIs, prompt engineering and AI platforms , including chatbot or agent-based frameworks. Experience working with APIs, system architecture and data integration. Strong technical problem‐solving ...

with version control (Git) and a real change-managed delivery workflow, not ad-hoc scripts on a laptop. Ability to work with AI/LLM tooling (Claude Code preferred) as a practical means to an end, including prompt design and evaluating output quality. Clear written communication - can document what ...

build software Nice to have: Experience with Azure cloud services, IaC (Terraform) and/or YAML pipelines Knowledge of building Generative AI/LLM powered solutions Experience with canvas/webgl What’s in it for you? Take a look at our Glassdoor and Career stories pages ...

authorisation and secrets management (OIDC/OAuth, Azure AD/Entra ID, vault, Keycloak) and of access control models. Security of AI agents and LLM applications (delegated access, tool-use authorisation, prompt injection). Hands-on experience with Kubernetes, Linux and containerised environments, including network policies. Strong grasp of network ...

platform within complex enterprise environments.You will also help shape the conversational experience layer by translating customer requirements into AI Agent behavior through prompt engineering, LLM concepts, and conversational design. Prior conversational design experience is valuable but can be further developed on the job.You will work closely with strategic partners, enterprise ...

have Design-system ownership, or working shoulder to shoulder with a designer on a complex data surface. Django REST, BigQuery, dbt, Cube Cloud, GCP. LLM agents, RAG or evals in production. Shipped an agent that does real work, like agentic audit or fulfilment-rule automation, and the instinct to build ...

across Azure and OCI (Terraform, Bicep) Proven design and delivery of complex CI/CD and automation solutions Experience building and operating AI/LLM-assisted tooling or agents Strong grasp of security, identity (Microsoft Entra/IAM) and secrets management Understanding of resilience, DR and recovery objectives (RTO/ ...

problems, define MVP scope, make trade-offs, and drive to measurable customer outcomes. Preferred Qualifications Startup or internal incubation experience. Experience integrating AI/LLM capabilities into product experiences responsibly. Track record of accelerating teams through strong technical leadership. Experience operating in PM-light environments where engineers help drive prioritisation ...

demonstrate usable AI-enabled solutions; and make clear decisions about what should remain an experiment, be productised or be retired. Agentic AI and LLM engineering: Design and implement reliable agentic workflows, including tool use, retrieval, evaluation, orchestration, guardrails, human-in-the-loop controls and observability. Apply LLMOps practices to evaluate … monitor and improve LLM-based systems, with particular attention to legal accuracy, confidentiality, security, provenance and responsible use. Platforms and technical delivery: Use approved OpenAI capabilities, including relevant API, Skills and Work capabilities, alongside FleetAI and other approved platforms where they best meet the use case and governance requirements. Build ...

Generative AI solutions and intelligent automation platforms The ideal candidate will combine strong expertise in software test engineering with handson experience validating AI models LLM based applications machine learning systems and data driven solutions across the full development lifecycle.Hybrid working :The places that you work from day to day will … Machine Learning and Generative AI solutionsLead QA activities across AI product development ensuring quality reliability performance security and complianceDesign and execute test plans for LLM powered applications chatbots copilots RAG solutions and AI agentsValidate AI model accuracy bias fairness explainability robustness and performanceDevelop and maintain AI test automation frameworks using ...

The position is based either in London, Paris or Zurich (depending on the successful candidate’s location). The successful candidate will support the global GIA team based in the EMEA, UK, US and APAC ...

claims to customer service and risk assessment. This role sits at the intersection of software engineering, applied AI, and technical leadership, turning the latest LLM capabilities into reliable, production-grade systems built on our Azure and Databricks platform. As a senior member of the team, you will not only build … organization. Key Responsibilities: Lead the design and build of end-to-end generative AI applications using LangGraph, including agentic workflows, RAG pipelines, and LLM-integrated services. Define and drive architecture for scalable, secure, reliable, and maintainable AI solutions deployed in production. Develop robust, well-tested backend APIs with FastAPI, containerized ...

AI Platform Engineer, Agentic Interfaces Full-time At IFS, we're building the next generation of AI-native enterprise software, transforming how some of the world's largest organisations manage assets, operations and critical services. ...

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 ...

vector databases, hybrid search and retrieval optimisation Build scalable Python applications, APIs and microservices to integrate AI capabilities with enterprise systems Develop and optimise LLM-powered applications, including prompt engineering, tool calling, evaluation and performance monitoring Implement AI orchestration patterns, including multi-step planning, agent collaboration, fallback handling and workflow … into production Excellent Python engineering skills, including experience developing APIs, microservices and production-ready applications Hands-on experience building and deploying Generative AI/LLM-based solutions in production environments Experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel or similar Strong understanding of RAG architectures, embeddings ...

approval boundaries, iterate with users, and drive adoption through pilots, feedback loops, and measurable outcomes. Production AI/ML Integration: Build AI applications using LLM APIs, retrieval-augmented generation, embeddings, vector search, prompt and context management, structured outputs, response validation, and evaluation harnesses required for production use. Cloud, DevOps & MLOps … including serverless, containerization, managed services, automated deployment, monitoring, and cloud security standards. Experience designing cloud‐based AI solution architectures that integrate managed AI services, LLM providers, retrieval and vector search, secure data access, API gateways, event‐driven workflows, identity and entitlement controls, observability, deployment automation, and cost and resilience trade ...

decisively beyond static reporting toward a proactive, intelligent analytics capability: partnering with Data Science to productize and visualize their models, enabling generative AI and LLM-based access to our data, building exception-based systems that alert users when outcomes deviate from expectation in a statistically meaningful way, and designing agents … loops that turn models and research into products the business actually uses. Partner with Product Management and Data Engineering to enable generative AI and LLM access to enterprise data. This includes preparing the semantic and metadata foundation that makes data legible to models, delivering conversational analytics, text ...

decisively beyond static reporting toward a proactive, intelligent analytics capability: partnering with Data Science to productize and visualize their models, enabling generative AI and LLM-based access to our data, building exception-based systems that alert users when outcomes deviate from expectation in a statistically meaningful way, and designing agents … loops that turn models and research into products the business actually uses. Partner with Product Management and Data Engineering to enable generative AI and LLM access to enterprise data. This includes preparing the semantic and metadata foundation that makes data legible to models, delivering conversational analytics, text ...

About Us: Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients ...

Job-ID: 1005604Category: Information TechnologyLocation: LONDON, LONDON, United KingdomSchedule: Full timePosted: 2026-11-11Closes: 2026-12-11Senior AI & Automation Engineer (Agentic)Location: London, King’s CrossWorking pattern: HybridDesign and deliver enterprise agentic AI ...

ABOUT US LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open‐access partners with a dedication to excellence in delivering the services our ...

reusable tools that allow AI agents to interact reliably with data and services.Agent Development: Develop agentic applications using LangGraph, combining tools, retrieval and LLM reasoning to solve complex research and automation problems.AI-Ready Data: Work with the team to transform, enrich and index data for effective use by AI systems.Evaluation … Google Cloud and technologies such as Docker.Strong problem-solving, communication and collaboration skills.Experience with GraphRAG or knowledge graph-based retrieval, entity resolution, LLM evaluation, enterprise data platforms or Microsoft Copilot Studio would be an advantage.What’s in it for youOur rapidly growing, award-winning business offers a dynamic environment ...

reusable tools that allow AI agents to interact reliably with data and services. Agent Development: Develop agentic applications using LangGraph, combining tools, retrieval and LLM reasoning to solve complex research and automation problems. AI-Ready Data: Work with the team to transform, enrich and index data for effective … Google Cloud and technologies such as Docker. Strong problem-solving, communication and collaboration skills. Experience with GraphRAG or knowledge graph-based retrieval, entity resolution, LLM evaluation, enterprise data platforms or Microsoft Copilot Studio would be an advantage. What’s in it for you Our rapidly growing, award-winning business offers ...