226 to 250 of 361 Model Context Protocol Jobs in England

agentic solutions that automate complex workflows, enhance critical decision-making, and deliver scalable, cutting-edge technology at a global scale. Responsibilities: Advanced Agent and Model Development Design and orchestrate complex multi-agent systems where autonomous agents collaborate, coordinate, negotiate, and delegate tasks to solve business problems that exceed … track record of architecting multi-agent systemsusing frameworks likeGoogle ADK, LangGraph, AutoGen or CrewAI. This includes hands-on experience withplanning/reasoning,memory systems,MCP and Vector DBs Practical knowledge of LLMs and their application within agentic architectures, including API design and integration for AI services. Demonstrated mastery ofPrompt ...

team across client programs. You'll contribute to quality engineering, assess maturity, mentor engineers, manage client relationships, and drive GenAI tooling adoption (Playwright, MCP, Copilot, Claude). Occasional travel to client sites in the UK is required. #J-18808-Ljbffr ...

AI. You will shape roadmaps, mentor engineers, and collaborate across global teams to deliver reliable, automated, self-healing infrastructure. You will design AI agents, MCP integrations, and pipelines for observability, incident response, and proactive remediation, ensuring safety, security, and high availability at #J-18808-Ljbffr ...

Storybook or design‐to‐code workflows. Experience embedding accessibility standards into design systems. Practical experience using AI tools such as Claude, ChatGPT or Figma MCP to improve design workflows. Experience working within high‐growth consumer technology, fintech or other digital product businesses. Experience scaling design systems across multiple product teams ...

visibility intelligence to win every moment of discovery – across AI and traditional search. Yext's API-first architecture connects structured data to APIs, MCP servers, and generative interfaces, so partners and developers can build purpose-built experiences on the same infrastructure powering Yext's own products. Thousands of brands ...

/authz, tenant isolation, and privileged access Immerse yourself in the agent security domain our customers are focused on: prompt injection, agent supply chain, mcp permissions, and non-human identities Security Engineering & Operations Own security across Geordie's cloud infrastructure and internal environments. Own the company's security roadmap, risk ...

through LLMs and NLP. Deploys LLM and agentic capabilities to improve engineering quality, delivery speed, and operational resilience, covering automated code review, standards enforcement, context‐aware development assistance, copilot‐delivered boilerplates, root‐cause analysis, incident diagnosis, and system audits that surface technical debt, delivering measurable reductions in rework … native vendors at various maturity stages. Familiarity with current AI industry developments, including agentic AI systems, emerging agent‐to‐agent integration standards (e.g., MCP), AI‐assisted software development (e.g., Claude Code, GitHub Copilot), frontier model capabilities, and evolving best practices for embedding AI into enterprise workflows. Experience working with ...

through LLMs and NLP. Deploys LLM and agentic capabilities to improve engineering quality, delivery speed, and operational resilience, covering automated code review, standards enforcement, context-aware development assistance, copilot-delivered boilerplates, root-cause analysis, incident diagnosis, and system audits that surface technical debt, delivering measurable reductions in rework … native vendors at various maturity stages. Familiarity with current AI industry developments, including agentic AI systems, emerging agent-to-agent integration standards (e.g., MCP), AI-assisted software development (e.g., Claude Code, GitHub Copilot), frontier model capabilities, and evolving best practices for embedding AI into enterprise workflows. Experience working with ...

Responsibilities Build production-grade GenAI, LLM, RAG and Agentic AI solutions Develop AI Agents and Multi-Agent Systems Work with LangChain, LangGraph and MCP Build intelligent retrieval using Embeddings, Vector Databases and Semantic Search Apply Prompt & Context Engineering Integrate AI solutions through REST APIs and cloud platforms Test, evaluate … Strong Python and SQL Hands-on experience with LLMs, RAG, AI Agents and Agentic AI Experience with LangChain and/or LangGraph Experience with MCP Knowledge of Embeddings and Vector Databases Experience deploying AI solutions in enterprise environments Cloud experience across Azure, AWS or GCP Understanding of LLM evaluation ...

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 … 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 ...

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 … 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 ...

empower specialist teams across the organization. Understanding 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 … 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 ...

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 ...

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 ...

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 ...