1 to 25 of 213 Permanent Model Context Protocol Jobs in the UK excluding London

frontend and backend services—from designing highly performant, intuitive modern user interfaces to building robust API services, Model Context Protocol (MCP) services, and autonomous AI agents. In this role, you will lead the architecture, design, and deployment of scalable Generative AI solutions, ensuring seamless integration into … both frontend and backend development, combined with hands‐on experience building production‐ready GenAI features. You will bridge the gap between backend APIs, custom MCP services, agentic workflows, and responsive modern user interfaces to deliver intelligent, automated planning experiences for our global customers. Your Impact Technical Leadership & System Architecture: Architect ...

DevX) platform using Terraform on Microsoft Azure. This role focuses on automating infrastructure provisioning for AI workloads, integrating Model Context Protocol (MCP) services, and constructing robust pipelines for AI Agent deployment and evaluation. Key Responsibilities & Capabilities IaC & Platform Automation - Author, modularize, and maintain enterprise Terraform scripts …/CD - Construct automated CI/CD pipelines (Azure DevOps/GitHub Actions) designed for agentic workflows, prompt evaluation, automated testing, and release gating. MCP Integration - Design, containerize, and deploy Model Context Protocol (MCP) servers and gateways to connect AI agents securely with enterprise databases and APIs. ...

harden the browser capabilities that make Menlo's features possible. The role blends deep systems and networking engineering with hands-on work on MCP (Model Context Protocol) servers, alongside the cloud infrastructure (AWS, GCP, Kubernetes, Terraform, Linux) that supports them. You'll work alongside engineers across Chromium … expertise to harden Menlo's browser isolation and network-facing infrastructure. Partner with the MARS team to build and integrate AI agent capabilities and MCP (Model Context Protocol) servers into Menlo's platform. Use Python or Rust to build supporting tooling, services, and prototypes alongside core C++ ...

systems on Amazon Bedrock, including multi-agent orchestration, memory management, and tool integration using Amazon Bedrock AgentCore and Strands Agents Build, integrate, and maintain MCP (Model Context Protocol) servers that expose capabilities to AI agents across client platforms Architect and implement RAG pipelines using Amazon Bedrock Knowledge … environments, not limited to basic API calls Agentic AI and multi-agent systems — direct experience designing and deploying agent pipelines with real orchestration complexity MCP (Model Context Protocol) — built or integrated MCP servers in a production or near-production context Strands Agents — familiarity with the framework ...

agent workflows to support complex business and clinical use cases. Implement AI solutions using modern orchestration frameworks and Model Context Protocol (MCP). Design and develop scalable AI services and data processing solutions using Python and related technologies. Build and maintain Retrieval-Augmented Generation (RAG) solutions … multi-agent architectures and AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen. Hands-on experience with Model Context Protocol (MCP) implementations. Strong understanding of vector databases and technologies such as Pinecone, Weaviate, FAISS, or Azure AI Search. Experience building and supporting Retrieval-Augmented Generation ...

agent workflows to support complex business and clinical use cases. Implement AI solutions using modern orchestration frameworks and Model Context Protocol (MCP). Design and develop scalable AI services and data processing solutions using Python and related technologies. Build and maintain Retrieval-Augmented Generation (RAG) solutions … multi-agent architectures and AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen. Hands-on experience with Model Context Protocol (MCP) implementations. Strong understanding of vector databases and technologies such as Pinecone, Weaviate, FAISS, or Azure AI Search. Experience building and supporting Retrieval-Augmented Generation ...

values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces … related field. Hands-on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction, ranking, summarization, copilots). Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces. Familiarity with LLM application patterns: embeddings ...

values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces … related field. Hands-on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction, ranking, summarization, copilots). Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces. Familiarity with LLM application patterns: embeddings ...

deliver AI innovation opportunities across our Salesforce platform landscape — including Salesforce Agentforce, Data Cloud (Data 360), and Model Context Protocol (MCP)-based integrations, as well as adjacent AI tooling. The role focuses on hunting for value opportunities for sales teams; understanding the data and process foundations required … customer/employee experience Document current-state business processes and design future-state processes that incorporate Salesforce Agentforce agents, Data Cloud (Data 360), and MCP-based integrations Gather business requirements, high-level user stories, and acceptance criteria for AI agent workflows — including agent actions, guardrails, escalation paths, and human ...

tools, retrieval systems and configurations for production use. Integrate AI systems with enterprise APIs, databases, applications and data platforms. Develop reusable connectors, APIs and Model Context Protocol tools. Build automated CI/CD, testing, configuration management and deployment workflows. Implement authentication, access control, secrets management, security … with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform and CI/CD technologies. Experience with LangGraph, AutoGen, smolagents or similar frameworks. Experience with Model Context Protocol, model‐serving platforms, vector databases and LLM gateways. Experience implementing AI evaluation, observability, tracing and performance monitoring. Experience with ...

including: Azure AI Foundry Azure API Management (APIM) Azure Kubernetes Service (AKS) Azure Container Apps Azure AI Search Model Context Protocol (MCP) services and supporting infrastructure Establish and maintain platform standards, guardrails, policies and onboarding requirements. Review technical and solution designs, providing guidance to ensure alignment with … Azure AI Search GitHub Enterprise CI/CD tooling and automated delivery pipelines Infrastructure as Code Platform observability and monitoring Identity and Access Management Model Context Protocol services Agentic architecture and engineering patterns Typical Candidate Background: Platform Engineer Cloud Platform Engineer DevOps Engineer Site Reliability Engineer Platform ...

based tools are part of the daily toolkit here — used to synthesize customer and competitive signal, pressure-test requirements, and prototype against MCP clients and agent runtimes before a single line of production code is written. The person in this role will be defining security for a category they … ownership of an assigned surface area of MARS for Agents — across capabilities such as the agent registry, Claude integration, Microsoft Copilot integration, MCP Server, MCP Proxy, and LLM proxy — from researched opportunity, to written requirement, to shipped and supported capability. A current, honest, decision-changing competitive point of view ...

systems across customer-facing and operational domains. Defining and owning Aviva’s canonical engineering patterns for applied AI, including orchestration architectures, context engineering, MCP integration, memory design, fine-tuning and multimodal systems. Building and maintaining a reusable library of agent tools, MCP servers, skills and shared engineering assets adopted … Context & Retrieval: Advanced context engineering expertise, including multi-hop retrieval, knowledge graphs (Neptune/Nebula), structured memory injection and dynamic prompt construction. MCP & Tooling: Advanced knowledge of Model Context Protocol (MCP), designing and implementing server architectures for enterprise tooling integration. Model Fine-Tuning: Experience ...

optimize prompts and interaction strategies for LLMs to achieve desired outcomes in agentic systems. Integrate various tools, APIs, and data sources, potentially utilizing MCP Servers, to enhance model context and tool integration. Develop robust, scalable, and maintainable code in Python for all components of the agentic applications, from … translate requirements into technical solutions. Stay up-to-date with the latest research and developments in generative AI, LLMs, agentic systems, and protocols like MCP, evaluating their potential for our products. Contribute to the architecture and technical roadmap of our AI initiatives. Mentor junior engineers and share knowledge within ...

Senior Lead Software Engineer at JPMorganChase within the Corporate Technology Data and Analytics Services team, you will be a founding contributor to the Context Plane — a greenfield platform that connects the firm's data mesh and knowledge sources to AI agents and large language model tools. You will … knowledge into a knowledge graph and vector store Build and evolve the serving layer — including graph and vector retrieval, GraphRAG, response assembly, and a Model Context Protocol endpoint consumed by downstream agents Extract and promote reusable components into a shared core library, reducing duplication across the platform ...

Senior Lead Software Engineer at JPMorganChase within the Corporate Technology Data and Analytics Services team, you will be a founding contributor to the Context Plane — a greenfield platform that connects the firm's data mesh and knowledge sources to AI agents and large language model tools. You will … knowledge into a knowledge graph and vector store Build and evolve the serving layer — including graph and vector retrieval, GraphRAG, response assembly, and a Model Context Protocol endpoint consumed by downstream agents Extract and promote reusable components into a shared core library, reducing duplication across the platform ...

bridge between cutting‐edge AI technologies and existing high‐code and low‐code platforms, the role focuses on AI enablement rather than foundational model building, ensuring intelligence is thoughtfully integrated into systems and workflows. The AI Engineer designs, develops, and assures AI-enabled solutions, improves automation efficiency, elevates engineering … automation platforms (e.g., Power Automate, n8n, Workato) by embedding intelligent processing and applying agentic patterns where relevant. Implement Model Context Protocol (MCP) servers for secure AI‐to‐system connectivity. Lead AI‐based document parsing and intelligent data extraction initiatives. Contribute to educating and enabling Enterprise Capabilities areas ...

Role Description gravity9 is expanding its Forward Deployed Engineering team to build production agentic AI systems for enterprise clients, in partnership with leading frontier-model providers. We already support clients from different verticals to have agentic and RAG systems live in production across healthcare, financial services, retail and global … observability. Strong advantage Anthropic certification (Claude Developer/Anthropic‐issued credential), an explicit advantage at shortlisting. Anthropic Agent SDK production experience, a significant bonus. MCP (Model Context Protocol): building servers and clients, tool exposure, auth patterns. Claude Code as an autonomous SDLC agent: sub‐agents, hooks, custom ...

role is engineering AI agents and agentic workflows. You will design how agents use trusted knowledge, approved tools, Model Context Protocol (MCP) services, approvals, human hand-offs and safe failure paths. You will ensure that evaluation, observability, identity, permissions and data boundaries are built into delivery rather … agents and agentic workflows using trusted knowledge, tools, actions, approvals, human hand-offs, evaluation and safe failure paths. • Design and implement integrations with approved MCP servers and lead development of MCP tools or services using secure, reusable patterns. • Integrate Power Platform and AI solutions with Microsoft 365, SharePoint, Microsoft Graph ...

role is engineering AI agents and agentic workflows. You will design how agents use trusted knowledge, approved tools, Model Context Protocol (MCP) services, approvals, human hand-offs and safe failure paths. You will ensure that evaluation, observability, identity, permissions and data boundaries are built into delivery rather … agents and agentic workflows using trusted knowledge, tools, actions, approvals, human hand-offs, evaluation and safe failure paths. • Design and implement integrations with approved MCP servers and lead development of MCP tools or services using secure, reusable patterns. • Integrate Power Platform and AI solutions with Microsoft 365, SharePoint, Microsoft Graph ...

role is engineering AI agents and agentic workflows. You will design how agents use trusted knowledge, approved tools, Model Context Protocol (MCP) services, approvals, human hand-offs and safe failure paths. You will ensure that evaluation, observability, identity, permissions and data boundaries are built into delivery rather … agents and agentic workflows using trusted knowledge, tools, actions, approvals, human hand-offs, evaluation and safe failure paths. • Design and implement integrations with approved MCP servers and lead development of MCP tools or services using secure, reusable patterns. • Integrate Power Platform and AI solutions with Microsoft 365, SharePoint, Microsoft Graph ...

role is engineering AI agents and agentic workflows. You will design how agents use trusted knowledge, approved tools, Model Context Protocol (MCP) services, approvals, human hand-offs and safe failure paths. You will ensure that evaluation, observability, identity, permissions and data boundaries are built into delivery rather … agents and agentic workflows using trusted knowledge, tools, actions, approvals, human hand-offs, evaluation and safe failure paths. • Design and implement integrations with approved MCP servers and lead development of MCP tools or services using secure, reusable patterns. • Integrate Power Platform and AI solutions with Microsoft 365, SharePoint, Microsoft Graph ...

role is engineering AI agents and agentic workflows. You will design how agents use trusted knowledge, approved tools, Model Context Protocol (MCP) services, approvals, human hand-offs and safe failure paths. You will ensure that evaluation, observability, identity, permissions and data boundaries are built into delivery rather … agents and agentic workflows using trusted knowledge, tools, actions, approvals, human hand-offs, evaluation and safe failure paths. • Design and implement integrations with approved MCP servers and lead development of MCP tools or services using secure, reusable patterns. • Integrate Power Platform and AI solutions with Microsoft 365, SharePoint, Microsoft Graph ...

Apply Prompt Engineering and Context Engineering techniques to optimise AI performance and accuracy. Implement AI solutions using frameworks such as LangChain , LangGraph , and MCP . Integrate AI services and enterprise platforms through REST APIs and cloud-native architectures. Deliver scalable, secure, and reliable solutions using Python … Natural Language Processing (NLP) Prompt Engineering , Context Engineering AI Agents , Agentic AI , Multi-Agent Systems LangChain , LangGraph , Model Context Protocol (MCP) RAG , Embeddings , Vector Databases Python , SQL , REST APIs Git , CI/CD Cloud Platforms (Azure, AWS, or GCP) LLM & AI Agent Testing and Evaluation Desirable ...

systems that support the full machine learning lifecycle. You will lead Kubernetes orchestration, CI/CD automation (including Harness), GPU optimisation, and large‐scale model deployment, owning the path from code commit to reliable, monitored production services This is a unique opportunity to shape the future … offline/online evaluation, and human‐in‐the‐loop workflows (e.g., RLHF) to enable continuous improvement. Familiarity with Model Context Protocol (MCP) for tool interoperability, plus Google ADK, LangGraph/LangChain for agent orchestration and multi‐agent patterns. Ray, Kubeflow, or similar frameworks. Experience embedding controls, audit ...