26 to 50 of 722 Model Context Protocol Jobs in the UK

This capability is responsible for advancing Insulet’s AI enablement foundation through MuleSoft Anypoint Platform, MuleSoft AI Gateway, Model Context Protocol (MCP), MuleSoft Agent Fabric, API-led connectivity, event-driven integration, and secure agent-to-system orchestration. The role will help transform existing enterprise APIs and integrations … Security, Enterprise Architecture, SRE, and MuleSoft CoE teams to establish reusable agent-ready integration patterns. Enable secure access to enterprise systems and APIs through MCP servers, AI Gateway policies, governed API products, and reusable integration services. Support global delivery and follow-the-sun operational readiness for business-critical AI-enabled ...

This capability is responsible for advancing Insulet’s AI enablement foundation through MuleSoft Anypoint Platform, MuleSoft AI Gateway, Model Context Protocol (MCP), MuleSoft Agent Fabric, API-led connectivity, event-driven integration, and secure agent-to-system orchestration. The role will help transform existing enterprise APIs and integrations … Security, Enterprise Architecture, SRE, and MuleSoft CoE teams to establish reusable agent-ready integration patterns. Enable secure access to enterprise systems and APIs through MCP servers, AI Gateway policies, governed API products, and reusable integration services. Support global delivery and follow-the-sun operational readiness for business-critical AI-enabled ...

powered Production Intelligence platform. You will combine Site Reliability Engineering practices with modern agentic AI (reusable Skills, Model Context Protocol (MCP), and LLM tooling) to transform how engineering and leadership teams monitor, diagnose, and auto-remediate global SaaS infrastructure.Whatyou'lldo Technical Leadership & Architecture: Define the technical roadmap … architecture for AI-assisted observability, automated incident response, and self-healing cloud infrastructure.Agentic Workflows & Tooling: Design and build production-grade AI agents, MCP tool integrations, and deterministic evaluation pipelines for automated operational decision support.Telemetry & Insights: Architect ingestion and correlation pipelines across distributed logs, metrics, OpenTelemetry traces, change events, and runbooks ...

powered Production Intelligence platform. You will combine Site Reliability Engineering practices with modern agentic AI (reusable Skills, Model Context Protocol (MCP), and LLM tooling) to transform how engineering and leadership teams monitor, diagnose, and auto-remediate global SaaS infrastructure. What you'll do Technical Leadership & Architecture: Define … architecture for AI-assisted observability, automated incident response, and self-healing cloud infrastructure. Agentic Workflows & Tooling: Design and build production-grade AI agents, MCP tool integrations, and deterministic evaluation pipelines for automated operational decision support. Telemetry & Insights: Architect ingestion and correlation pipelines across distributed logs, metrics, OpenTelemetry traces, change events ...

incidents via telemetry-driven automation and blameless postmortems. Champion AI‐enabled operations using AWS Bedrock/SageMaker and Model Context Protocol (MCP) for log analysis, anomaly detection, incident triage, and workflow orchestration; establish adoption guardrails. Define and enforce cloud guardrails and security controls (SCPs/IAM boundaries … . Applying AI in CI/CD, observability, and incident response using AWS Bedrock/SageMaker and Model Context Protocol (MCP).Hands-on Agile delivery experience, actively participating in stand-ups and sprint ceremonies.Why Choose Fitch: Hybrid Work Environment: 2 to 3 days a week in office ...

incidents via telemetry-driven automation and blameless postmortems. Champion AI‐enabled operations using AWS Bedrock/SageMaker and Model Context Protocol (MCP) for log analysis, anomaly detection, incident triage, and workflow orchestration; establish adoption guardrails. Define and enforce cloud guardrails and security controls (SCPs/IAM boundaries … . Applying AI in CI/CD, observability, and incident response using AWS Bedrock/SageMaker and Model Context Protocol (MCP).Hands-on Agile delivery experience, actively participating in stand-ups and sprint ceremonies.Why Choose Fitch: Hybrid Work Environment: 2 to 3 days a week in office ...

incidents via telemetry-driven automation and blameless postmortems. Champion AI‐enabled operations using AWS Bedrock/SageMaker and Model Context Protocol (MCP) for log analysis, anomaly detection, incident triage, and workflow orchestration; establish adoption guardrails. Define and enforce cloud guardrails and security controls (SCPs/IAM boundaries … . Applying AI in CI/CD, observability, and incident response using AWS Bedrock/SageMaker and Model Context Protocol (MCP). Hands-on Agile delivery experience, actively participating in stand-ups and sprint ceremonies. Why Choose Fitch: Hybrid Work Environment: 2 to 3 days a week ...

incidents via telemetry-driven automation and blameless postmortems. Champion AI‐enabled operations using AWS Bedrock/SageMaker and Model Context Protocol (MCP) for log analysis, anomaly detection, incident triage, and workflow orchestration; establish adoption guardrails. Define and enforce cloud guardrails and security controls (SCPs/IAM boundaries … . Applying AI in CI/CD, observability, and incident response using AWS Bedrock/SageMaker and Model Context Protocol (MCP). Hands-on Agile delivery experience, actively participating in stand-ups and sprint ceremonies. Why Choose Fitch: Hybrid Work Environment: 2 to 3 days a week ...

LLMs, retrieval pipelines, agentic workflows, and platforms such as Anthropic Claude. Experience designing and deploying AI agents, leveraging Model Context Protocol (MCP), and orchestrating enterprise-grade AI solutions will be highly valued. Acting as a bridge between business and technology, you’ll work across product, data science … deploying agentic AI solutions using platforms such as Anthropic Claude, including AI agents, tool orchestration, reasoning workflows, Model Context Protocol (MCP), and enterprise-scale automation use cases. Hands-on experience building AI-enabled systems, such as LLM pipelines, document extraction, structured output generation, AI-assisted analytics, prediction ...

LLMs, retrieval pipelines, agentic workflows, and platforms such as Anthropic Claude. Experience designing and deploying AI agents, leveraging Model Context Protocol (MCP), and orchestrating enterprise-grade AI solutions will be highly valued.Acting as a bridge between business and technology, you’ll work across product, data science, architecture … deploying agentic AI solutions using platforms such as Anthropic Claude, including AI agents, tool orchestration, reasoning workflows, Model Context Protocol (MCP), and enterprise-scale automation use cases.Hands-on experience building AI-enabled systems, such as LLM pipelines, document extraction, structured output generation, AI-assisted analytics, prediction interfaces ...

design, build, and deliver next-generation AI-enabled applications and agentic systems. This role combines hands-on engineering across frontend applications, Python backend services, MCP infrastructure, agent workflows, and secure enterprise integrations. As an AI Engineer, you will build user-facing applications and backend services that integrate with Model Context Protocol (MCP) servers, LLM-based applications, RAG-based retrieval systems, and agent orchestration platforms. You will work closely with AI developers, platform engineers, product teams, and other stakeholders to deliver scalable, secure, observable, and production-ready AI solutions. This engineering role is suited for candidates ...

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 ...

workflows, models, 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 and auditability.Establish monitoring … services.Experience 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 high availability, autoscaling ...

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 ...

patterns, governance, and delivery support.CE AI owns and operates core AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway. Rather than delivering individual business use cases end‐to‐end, the team enables product engineering groups across LSEG to expose knowledge, data, and actions … agents in a consistent, governed, and repeatable way.The team operates a Central MCP Delivery model: building critical MCP tools and services “for” product teams where required, while simultaneously defining standards, patterns, and platform capabilities that allow teams to progressively move towards self‐service contribution.LSEG AI Assist/Internal MCP ...

patterns, governance, and delivery support.CE AI owns and operates core AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway. Rather than delivering individual business use cases end‐to‐end, the team enables product engineering groups across LSEG to expose knowledge, data, and actions … agents in a consistent, governed, and repeatable way.The team operates a Central MCP Delivery model: building critical MCP tools and services “for” product teams where required, while simultaneously defining standards, patterns, and platform capabilities that allow teams to progressively move towards self‐service contribution.LSEG AI Assist/Internal MCP ...

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 ...

agent orchestration framework (such as LangGraph or first‐party agent SDKs) and understand tool calling and the Model Context Protocol (MCP) Evaluation engineering: you have built or operated eval harnesses (golden datasets, regression gates in CI, LLM‐judge calibration) and can explain why they gate merges Post … compatible object storage as the data platform, Neo4j Enterprise as the semantic knowledge graph, an agent memory plane serving episodic and precedent memory over MCP, MCP‐native connectors, OpenTelemetry and Grafana for observability, all on CNCF‐conformant Kubernetes with Helm and Argo CD, deployable to any hyperscaler or on‐prem. ...

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 … firm knowledge into a knowledge graph and vector storeBuild and evolve the serving layer — including graph and vector retrieval, GraphRAG, response assembly, and a Model Context Protocol endpoint consumed by downstream agentsExtract and promote reusable components into a shared core library, reducing duplication across the platform ...

translate capability changes into delivery capability and commercial offerings. Building and Embedded Delivery Build production AI systems hands-on: agents, tool use, retrieval pipelines, MCP integrations and enterprise workflow connectors. Embed with client teams to map how work actually runs across functions, then design and deliver against it. Lead … Intellectual Property Own and productise Invoka's AI delivery IP: the accelerator framework, reusable components, prompt libraries and evaluation suites. Take our in-house MCP servers from internal tools to supported, documented, sellable asset, and own its roadmap. Develop our temporal data and change analysis capability, which we deliver ...

collaborative culture through communities of practice and emerging-technology events. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities.Job ResponsibilitiesDesign, develop, and troubleshoot software solutions using creative approaches … environment using modern programming and database querying languagesExperience with containerizationKnowledge of agent-to-agent (A2A) communication conceptsFamiliarity with Model Context Protocol (MCP)Experience with agentic orchestrators, personal AI assistants, or AI skills development#LLMSuiteEngineering_jobsJ.P. Morgan is a global leader in financial services, providing strategic advice and products ...

collaborative culture through communities of practice and emerging-technology events. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. Job Responsibilities Design, develop, and troubleshoot software solutions using creative … programming and database querying languages Experience with containerization Knowledge of agent-to-agent (A2A) communication concepts Familiarity with Model Context Protocol (MCP) Experience with agentic orchestrators, personal AI assistants, or AI skills development J.P. Morgan is a global leader in financial services, providing strategic advice and products ...

collaborative culture through communities of practice and emerging‐technology events. You will explore and operationalize emerging patterns such as agent‐to‐agent communication, model context protocols, and agentic orchestration, turning early‐stage concepts into scalable, production‐ready capabilities. Job Responsibilities Design, develop, and troubleshoot software solutions using creative … programming and database querying languages Experience with containerization Knowledge of agent‐to‐agent (A2A) communication concepts Familiarity with Model Context Protocol (MCP) Experience with agentic orchestrators, personal AI assistants, or AI skills development #J-18808-Ljbffr ...

stability. You will help deliver GenAI services using public cloud capabilities. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. You will contribute as a team player who seeks … large corporate environment using modern programming and database querying languages, including containerizationKnowledge of agent-to-agent (A2A) communication, Model Context Protocol (MCP), AI skills development, personal AI assistants, or agentic orchestrators#LLMSuiteEngineering_jobsJPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small ...