2,326 to 2,350 of 3,940 LLM Jobs in the UK

customers depend on it. Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques. Own technical components end-to-end: from architecture choice to deployed, validated, and observable in production. Build and integrate data pipelines on Salesforce Data ...

integrate and operationalise agentic AI systems in production across cloud, on‐prem, hybrid and restricted environments. You will design production architectures for agentic AI, LLM and vision‐language apps. The role requires strong Python, API development, Docker, cloud deployments, and secure, observable production systems. You will build connectors, CI/ ...

hands-on, build-from-scratch role for someone who thrives in ambiguity and wants outsized ownership. What You’ll Do Design, build, and deploy LLM-powered features and agentic workflows into production Work with MCP (Model Context Protocol) and related tooling to connect AI systems to internal and external data … fast-moving startup environment — from prototype to production What You’ll Bring Strong Python skills, with hands-on experience building LLM-based applications Practical experience with MCP or comparable agent/tool-orchestration frameworks Solid cloud experience (AWS and/or Azure) — deployment, infrastructure, and scaling AI workloads Startup experience ...

scale digital platform. You will design, build and deploy production-grade ML models powering highly personalised customer experiences, including recommendation algorithms, retrieval systems and LLM-powered conversational AI. You will work closely with Product Managers, Engineers and MLOps to move ideas from experimentation into #J-18808-Ljbffr ...

users' hands. You will fit right in if you have experience with: Applied AI — Design and build LLM-powered features that solve real workflows, from prompt to production Model Behavior — Reason about why models fail, when to use which model, and how to make them reliable in production Evals & Iteration … look at real documents, debug bad outputs, and make the system better WHAT WE ARE LOOKING FOR TECHNICALLY Strong experience with Python and modern LLM tooling (OpenAI/Anthropic/Azure OpenAI SDKs, structured outputs, function calling) Experience building production AI systems beyond a wrapper around a chat API Comfortable ...

service. Serving these safely, securely and at scale needs a dedicated engineering owner. We need to evolve our current Claude, Gemini and other frontier LLM deployments into a coherent, safe and effective strategic deployment platform. You are not coming in to write a strategy deck. Pace and learning … includes: AI safety for internal use: sandboxing, policy, integrations, MCP governance, usage guardrails and monitoring expectations. The three platform pillars: control, monitoring and sandboxing (LLM and MCP gateway, anonymisation, local hardening, sandboxed cloud agent hosting); agentic workflow orchestration (a "software factory" in the cloud with hybrid self‐serve and engineering ...

service. Serving these safely, securely and at scale needs a dedicated engineering owner. We need to evolve our current Claude, Gemini and other frontier LLM deployments into a coherent, safe and effective strategic deployment platform. You are not coming in to write a strategy deck. Pace and learning … includes: AI safety for internal use : sandboxing, policy, integrations, MCP governance, usage guardrails and monitoring expectations. The three platform pillars : control, monitoring and sandboxing (LLM and MCP gateway, anonymisation, local hardening, sandboxed cloud agent hosting); agentic workflow orchestration (a "software factory" in the cloud with hybrid self-serve and engineering ...

service. Serving these safely, securely and at scale needs a dedicated engineering owner. We need to evolve our current Claude, Gemini and other frontier LLM deployments into a coherent, safe and effective strategic deployment platform. You are not coming in to write a strategy deck. Pace and learning … includes: AI safety for internal use : sandboxing, policy, integrations, MCP governance, usage guardrails and monitoring expectations. The three platform pillars : control, monitoring and sandboxing (LLM and MCP gateway, anonymisation, local hardening, sandboxed cloud agent hosting); agentic workflow orchestration (a "software factory" in the cloud with hybrid self-serve and engineering ...

1.0’ systems at the right time Build cutting edge products like global context aware chat with semantic search, care orchestration and LLM-enabled cloud telephony e2e Hire/scale the team, while implementing the right processes at the right times to maximise discounted team productivity and minimise discounted dev time ...

guidance service. Serving these safely, securely and at scale needs a dedicated engineering owner.We need to evolve our current Claude, Gemini and other frontier LLM deployments into a coherent, safe and effective strategic deployment platform. You are not coming in to write a strategy deck. Pace and learning … This includes:AI safety for internal use: sandboxing, policy, integrations, MCP governance, usage guardrails and monitoring expectations.The three platform pillars: control, monitoring and sandboxing (LLM and MCP gateway, anonymisation, local hardening, sandboxed cloud agent hosting); agentic workflow orchestration (a "software factory" in the cloud with hybrid self-serve and engineering ...

Here's a summary of the role Data is only powerful when everyone agrees what it means. This is your chance to build a world class product behavioural data system and process from the ground ...

Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers' legs. Ki's mission is simple. Digitally disrupt and revolutionise a 335-year ...

technologies, LLMs, automation, and risk management. What you’ll be responsible for Design and implement security controls for AI and machine learning solutions, including LLM-based applications, model integrations, and supporting cloud infrastructure. Assess the security, privacy, and compliance risks associated with AI systems, including model misuse, prompt injection, data … such as identity and access management, cloud security, application security, data protection, logging and monitoring, and incident response. Knowledge of AI/ML and LLM concepts, including model deployment patterns, APIs, embeddings, vector stores, prompt handling, and common AI security risks. Experience securing cloud environments and modern development workflows ...

scaling a production-grade AI product from the ground up Designing and developing APIs and backend services that power enterprise customer integrations Owning the LLM application layer, including retrieval-augmented generation (RAG) workflows Improving model performance, reliability, evaluation frameworks, monitoring, and cost optimisation Working across the stack to deliver customer … Engineer will have the following skills and experience: Strong commercial experience as a Product Software Engineer or Software Engineer Experience building and scaling an LLM-enabled product from concept through to production Strong backend engineering expertise, ideally within API-first products Experience with Node.js and TypeScript, or a proven ability ...

/ML technologies, LLMs, automation, and risk management.What you’ll be responsible forDesign and implement security controls for AI and machine learning solutions, including LLM-based applications, model integrations, and supporting cloud infrastructure.Assess the security, privacy, and compliance risks associated with AI systems, including model misuse, prompt injection, data leakage … domains such as identity and access management, cloud security, application security, data protection, logging and monitoring, and incident response.Knowledge of AI/ML and LLM concepts, including model deployment patterns, APIs, embeddings, vector stores, prompt handling, and common AI security risks.Experience securing cloud environments and modern development workflows in platforms ...

technical ownership from day oneCompetitive salary + equity7% pension, private healthcare and free daily mealsWhat you’ll be doingBuilding core agentic AI product featuresDesigning LLM architectures and agent workflowsEvaluating models and choosing the right approach for each problemIntegrating AI into complex production softwareDeploying across cloud and on-premise environmentsImproving ...

Job SummaryOur corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Engineer to join our AI team. This position will work on a team to accomplish tasks and ...

integrations, selective agentic patterns) Translate complex scientific and business problems into robust, well-integrated AI system designs Set the engineering bar for GenAI/LLM applications Mentor engineers and shape architectural direction across the department What you'll bring Track record building and operating LLM-powered systems in production ...

management. Nice to have Infrastructure as code (CDK in TypeScript, or Terraform). React/TypeScript, or comfort in a polyglot repo. LLM or MCP integration and AI-facing tooling. Financial-data or regulated-environment background. Experience we’re looking for We care more about what you’ve owned than ...

Engine Familiarity with Cloud Armor and Model Armor for platform and AI protection Understanding of MCP and A2A concepts and how they integrate with LLM services Relevant Google Cloud Platform professional qualifications The ability to apply new AI technologies to real engineering challenges #J-18808-Ljbffr ...

successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams … Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in technical customer-facing roles such as Solutions Architect ...

native product area. You'll work in a cross-functional squad to:Turn ambiguous problems into well-designed, scalable AI-powered systemsBuild high-quality, LLM-driven features end-to-end — from prototype to productionDesign and integrate agentic workflows, retrieval systems, and model-orchestration pipelinesDeliver AI solutions that make a measurable … difference for customersYou'll contribute across the stack, with a strong focus on backend APIs and services that power AI/LLM-driven functionality in expenses and procurement.Our Current StackReact Node.jsJavaScript & TypeScriptLLM APIs (OpenAI/Anthropic/similar)Vector databases & retrieval pipelinesThat said, our interview process is technology-agnostic. ...

Job title: AI/ML Engineer Location: Romsey, Hampshire/Hybrid (2 days per week on site) Salary: £65,000 plus 6% bonus Candidates must be willing and eligible to go through SC security clearance. ...

security awareness and culture across the broader organization.Required QualificationsProven experience in offensive security, including AI Red Teaming/Penetration Testing against agentic frameworks and LLM integrations.Demonstrated ability to engineer or deploy AI Detection and Response (AIDR) workflows utilizing agentic and SIEM technologies, with a strong focus on AI-native threat ...

governance, administration, security, and enablement features that internal teams require to build and run AI agents and workloads at scale — spanning our LLM Gateway, MCP Gateway, agent runtime, and model governance controls. This role requires strong technical judgment, a deep understanding of enterprise deployment patterns, and the ability to translate … platform requirements into elegant, self-service product experiences for builders across the firm. Key Responsibilities Own the roadmap for core platform capabilities including the LLM and tool (MCP) gateways, web search access, audit logging, access controls, and integration of approved AWS and Azure AI services. Develop and maintain the builder ...