501 to 525 of 724 Model Context Protocol Jobs in the UK

customer-facing, technically demanding, and genuinely novel — there is no playbook yet, and we're writing it in real time. We call our delivery model co-work. We don't build things for our customers. We build alongside them, teaching them to think, design, and ship with Claude … Scope engagements: assumptions, risks, milestones, and dependencies Embed with customer teams to co-build agentic applications on the Claude Build technical artifacts — evaluation frameworks, MCP servers, sub-agents, and deployment configurations — tailored to the customer's stack What Success Looks Like Customers move from proof-of-value to production Engineering ...

Bedrock, Docker). Notable understanding and experience building generative AI applications (LangChain, AutoGen, CrewAI or similar). Validated production experience with RAG, agent, and MCP-based systems, including AgentOps (CI/CD, monitoring, optimisation). Applied, pragmatic "builder/hacker" mindset with rapid iteration (idea to POC to production). … ongoing support for the continued effectiveness of analytics and modelling solutions to users. Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. Ensure all development activities are undertaken within the defined control environment. Vice President Expectations To contribute or set strategy, drive requirements and make ...

manage risk, non-functional requirements (NFRs), and technical debt.Agentic AI & Commerce Innovation: Design AWS-based agentic AI platforms (orchestration, RAG, memory, guardrails, and MCP). Establish reusable patterns and advise clients on emerging Agentic Commerce standards (ACP, AP2, A2A, and secure payment models).Client Engagement & Account Growth: Build trusted relationships … serverless patterns and appropriate integration components).Agentic AI & Commerce: Strong understanding of building agentic AI platforms on AWS (e.g., Bedrock, orchestrations, RAG, gateways/MCP) and awareness of emerging Agentic Commerce concepts and standards (ACP, AP2, A2A).Software Engineering & API Design: Strong development background (ideally TypeScript/JavaScript) coupled with ...

want to talk to you! Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g. Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate. Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external channels … Agentforce and deep fluency with D360 and core Salesforce platform services. Advanced Integration - Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A). Governance & Observability - Familiarity with prompt governance, observability, and monitoring frameworks. Cross‐Platform Background - Background in cross‐platform integrations (e.g., Hyperscaler SDKs to Salesforce ...

want to talk to you!Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g. Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate.Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external channels including … Salesforce Agentforce and deep fluency with D360 and core Salesforce platform services.Advanced Integration - Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A).Governance & Observability - Familiarity with prompt governance, observability, and monitoring frameworks.Cross-Platform Background - Background in cross-platform integrations (e.g., Hyperscaler SDKs to Salesforce Flows).Multimodal ...

secure and governed access patterns for LLMs and enterprise tools using APIM, platform gateways, Entra ID, RBAC and managed identities Contribute to LLMOps and model runtime patterns, including model access, routing, caching, token optimisation … cost-aware usage controls Support lifecycle and evaluation practices for agent configurations, prompts and AI workflows Design secure tool-access patterns for agents, including MCP/tool abstraction, credential management and enterprise API integration Contribute to AgentOps and GenAIOps capabilities, including telemetry, run history, task outcomes, error analysis and feedback ...

join a small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, with a primary focus on our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll work across model … gateways, model routing, vendor abstraction, or cost attributionExperience building developer platforms, internal platforms, or self-serve infrastructureExperience building and deploying AI agents or MCP servers in productionExperience with eval systems, LLM observability, tracing, RAG, search, or vector databasesDiversity, Equity and InclusionAt Deliveroo, we know that a great workplace reflects ...

join a small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, with a primary focus on our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You'll work across model … gateways, model routing, vendor abstraction, or cost attributionExperience building developer platforms, internal platforms, or self-serve infrastructureExperience building and deploying AI agents or MCP servers in productionExperience with eval systems, LLM observability, tracing, RAG, search, or vector databasesDiversity, Equity and InclusionAt Deliveroo, we know that a great workplace reflects ...

create rather than inherit Nice to have: e commerce integrations, governance frameworks built from scratch, subscription and omnichannel data, LLM based analytics using MCP, vendor or small team management. Package 70,000 to 85,000 GBP plus growth based bonus 28 days holiday plus bank holidays accelerated career path direct ...

make Entropia the room they reach for on the next mandate. This role is based in London. We mainly use an in-person work model, with a flexible work-from-home policy. Strategic Implementation: Take the lead in integrating Entropia's solutions into client workflows, ensuring smooth adoption ...

directly with trading desks, providing a rare and exciting opportunity to gain direct front‐office exposure. You’ll work at the intersection of business context and applied AI: understanding how teams operate, then helping them adopt approved AI tools safely and effectively through training, workflow mapping, and lightweight prototyping. … interaction, including: Practical understanding of prompt engineering techniques and common LLM failure modes Experience grounding AI outputs in data (e.g. through document retrieval, APIs, MCP or structured context rather than free‐text prompting alone) Exposure to designing AI‐assisted workflows that support repeatable tasks rather than one‐off interactions. ...

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 from day one: guardrails, security … data engineering to build the whole thing yourself Hands-on production LLM and agent experience: prompt engineering, agent workflows, RAG, tool orchestration and MCP, with evidence you've shipped AI users actually rely on, and how you proved it could be trusted Evaluation-driven habits: golden datasets, eval frameworks, guardrails ...

security review and risk assessment of all AI integrations entering production, including LLM APIs, SaaS copilots, AI code editors, agentic workflows, third‐party MCP servers, and vendor‐embedded AI. Build and scale Ripple's Shadow AI detection capability, surfacing unsanctioned AI usage, driving adoption of the AI acceptable use policy … ensuring all AI workflows operate within Ripple's auditable perimeter. Serve as Ripple's go‐to technical resource on agentic AI risks, including MCP server security, tool poisoning, prompt injection at the orchestration layer, and excessive agency in multi‐agent systems, translating emerging threats into concrete mitigations with Engineering ...

other systems of record and engagement. Design integration patterns that let AI capabilities interoperate safely with enterprise data, identity,workflowand process automation platforms– including MCP and A2A and how these capabilities enable an enterprise Agent mesh. Understand the data,governanceand change implications of embedding AI into mission-critical enterprise processes. … Orchestration & control plane Architect the orchestration and control-plane layer that governs how AI capabilities are exposed,routedand managed across the enterprise. Design MCP, AI and LLM gateway layers for secure,observableand policy-controlled access to models and tools. Design agent and skills registries — including recommending suitable technologies and patterns ...

across human users, systems, and non-human agents. Our Tech & Ecosystem: Databricks, Lakebase, Unity Catalog, Entra ID/Azure Identity, Okta, ZScaler, GitHub Actions, MCP patterns, and Terraform What you'll do Platform Engineering & CI/CD Build and maintain Infrastructure-as-Code (IaC) using Terraform across development, test … deprovisioning and access models with single-revoke capability and full auditability. AI Gateway & Governance Harden existing AI gateway and agent orchestration layers (built on MCP patterns) into secure, production-ready capabilities. Implement API gateway controls: authentication, routing, rate limiting, token budgets, policy-as-code, and action logging. Build platform-, tool ...

batch patterns, data graph design, and activation strategies within D360.Map and integrate external agents from hyperscalers (e.g., Copilot, Gemini) into Agentforce via open standards (MCP, A2A); advise customers on how these systems collaborate within their enterprise architecture.Navigate ambiguous, high-stakes technical conversations with authority — knowing when to prescribe, when … engineering, agent lifecycle management, and hands-on prototype development.Hands-on proficiency in programming (e.g., Python, JavaScript, SQL) and data frameworks.Understanding of agent interoperability standards (MCP, A2A) and the broader external agent ecosystem.Experience operating in complex, matrixed enterprise environments across multiple EMEA markets.Exceptional communicator and storyteller — able to translate architectural complexity ...

intelligent search) Familiarity with Retrieval-Augmented Generation (RAG), vector databases, or embeddings Experience with cloud platforms (AWS preferred) Awareness of emerging AI tooling (e.g. MCP, A2A, Threads or similar) Open-source contributions or side projects, particularly involving scalable systems or AI This role is best suited to software engineers … interested in applying AI to enhance real-world products and platforms. What's in it for me? Salary £70,000 - £100,000 Hybrid working model with remote flexibility Private healthcare Professional development and funded learning Opportunity to work on modern, AI-enabled systems at scale Clear progression within ...

used by institutional clients. As an early member of a small, senior team, you will work end‐to‐end across research, prototyping, data engineering, model implementation, production systems, and client‐facing applications. This is a high‐ownership role for someone who is comfortable contributing wherever needed in a fast … help harden new modelling approaches, analytical tools, and platform features. Work across the design and build of our internal AI layer, including LLM integrations, MCP servers, and agentic tooling, to automate research workflows and deliver analytical insights within the client‐facing platform. Help with the evolution of our cloud infrastructure ...

that analytics is embedded in day‐to‐day decision‐making rather than delivered as isolated reports. The role holder will apply and role‐model the technical standards the team works to peer review, version control, documentation, testing and release management -and will aid the Data Analytics Manager to raise … with Data Scientists and Actuarial. Hands‐on experience applying AI/LLM tooling to analytics work (e.g. Co‐pilot for Power BI/Fabric, MCP‐style integrations, agentic assistants, code‐generation tools) with a pragmatic view on where they add value. Experience with Microsoft Fabric, dbt, Azure DevOps/GitHub ...

functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel, MCP, vector search and intelligent workflows Engineering around the realities of production AI: accuracy, security, validation, guardrails, latency and cost Working across the stack, including modern … code. That experience could be commercial, independent or through substantial personal projects what matters is that you can explain what you built, how the model was integrated and the engineering decisions surrounding it. Why consider it? This is an opportunity to join a substantial software organisation at a point ...

functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel, MCP, vector search and intelligent workflows Engineering around the realities of production AI: accuracy, security, validation, guardrails, latency and cost Working across the stack, including modern … code. That experience could be commercial, independent or through substantial personal projects what matters is that you can explain what you built, how the model was integrated and the engineering decisions surrounding it. Why consider it? This is an opportunity to join a substantial software organisation at a point ...

functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel, MCP, vector search and intelligent workflows Engineering around the realities of production AI: accuracy, security, validation, guardrails, latency and cost Working across the stack, including modern … code. That experience could be commercial, independent or through substantial personal projects what matters is that you can explain what you built, how the model was integrated and the engineering decisions surrounding it. Why consider it? This is an opportunity to join a substantial software organisation at a point ...

Production experience maintaining human-in-the-loop systems and AI monitoring/observabilityStrong fundamentals in AI/ML evaluation frameworksExperience building agentic systems including MCP, tool calling, memory systems, vector-based knowledge stores, guardrailsIn depth understanding of modern software design principles (e,g. microservices, event-driven architectures, domain driven design … Fixed Income, Equities, Asset Management is a plusKey ResponsibilitiesDevelop and maintain Python-based AI applicationsBuild and maintain document workflows using LLMs and classical NLPDebug model performance issues, handle edge cases, and optimize system reliabilityWrite comprehensive tests and implement monitoring for AI/ML systemsRapidly prototype new features, evaluate them ...

solve real, complex business problems. Owning delivery end-to-end - from initial exploration through to production deployment, integration and ongoing iteration. Working with MCP-style architectures (FastMCP/FastAPI) and LangChain/LangGraph or equivalent frameworks to build reliable, scalable systems. Integrating AI into products, APIs and core business workflows … principles. Cloud deployment experience across AWS, GCP or Azure, using modern engineering practices. A product mindset - you care about impact and adoption, not just model performance. You understand LLM and machine learning trade-offs and design systems accordingly. About you: You'll likely have a Masters or higher ...

zero. Based in Oxford, you will work in a dynamic and growing engineering organisation that builds cloud-based software to track and model power grids around the world. As a Software Engineer on the AI team you will build systems where LLMs autonomously plan, and call tools, to navigate … infrastructure Desirable attributes: Hands-on experience building LLM-based systems Experience testing non-deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary-Exchange Pension Employee Assistance Programme ...