26 to 40 of 40 Model Context Protocol Jobs in England

will fundamentally change how their Application Security is Delivered within the SDLC. Early Phases of the Programme have already defined the Target Architecture, Threat Model & Prompt Engineering Strategy . The Next Stage is to Transform this Foundation into a Production - Grade Capability Used Daily by Engineering Teams , enabling Developers … Engineering Solutions Ideally Experience would include: Delivered AI/Agent Platforms or AppSec Automation Solutions at Scale Familiarity with: Anthropic Claude/Claude Code MCP or similar Agent/Tool Orchestration Frameworks Experience with AI Security Tooling or AISPM Platforms Exposure to Financial Services Regulatory Environments (eg DORA, FCA/ ...

systems using RAG, reasoning, planning, memory, and tool orchestration Develop multi-step AI solutions capable of autonomous decision-making and tool usage Work with MCP-style architectures and modern orchestration frameworks Deliver recommendation, classification, forecasting, and automation solutions using large-scale datasets Deploy scalable AI systems across cloud environments including … LangGraph, or similar frameworks Demonstrable experience building Agentic AI systems and AI agents Strong understanding of RAG architectures and LLM optimisation Experience with FastAPI, MCP/FastMCP, or similar technologies Familiarity with cloud-native AI deployments and data-driven applications Important Applications must clearly demonstrate hands-on Agentic AI experience. ...

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 ...

multi-agent system on AWS, orchestrating multiple AI providers across signal generation, content, and research workflows, and is exposed to clients through their own MCP server. What We're Looking For We are seeking an AI Engineer to help shape the technical direction of the AI platform. You will design … execution loop, tool dispatch, context management, sub-agent spawning, and sandboxing Design agent memory, context management, and tool-calling patterns Extend the MCP server with new tools and capabilities Enforce structured outputs and validation across LLM boundaries 2. LLM Quality, Evals & Observability Build the layer that lets ...

multi-agent system on AWS, orchestrating multiple AI providers across signal generation, content, and research workflows, and is exposed to clients through their own MCP server. What We're Looking For We are seeking an AI Engineer to help shape the technical direction of the AI platform. You will design … execution loop, tool dispatch, context management, sub-agent spawning, and sandboxing Design agent memory, context management, and tool-calling patterns Extend the MCP server with new tools and capabilities Enforce structured outputs and validation across LLM boundaries 2. LLM Quality, Evals & Observability Build the layer that lets ...

Proficiency: Leverage agentic development environments such as Kiro (and similar AI-assisted IDEs) to accelerate development workflows, including spec-driven development, agent hooks, MCP server configuration, and AI-assisted code generation. * Pre-Production Validation: Guide customers through testing, evaluation, and validation of AI agent performance against defined success criteria before … strategies and evaluating model performance across different foundation models * Building Lambda functions and API integrations that serve as tools for AI agents * Configuring MCP servers to expose customer APIs, databases, and tools in a standardized format for agent consumption * Designing A2A workflows where Amazon Connect agents hand ...

environments. What You’ll Be Doing Owning and evolving our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Designing internal AI tooling to accelerate delivery Leading advanced technical AI sessions within our upskilling programme Evaluating emerging AI tools, frameworks … prompt engineering, agent workflows, RAG systems) Experience shipping AI-powered features to production Proficiency in 2+ modern programming languages Familiarity with evolving AI tooling (MCP, A2A, Threads or similar) Consultancy or client-facing delivery experience Desirable: Vector databases, embeddings, fine-tuning Cloud experience (AWS preferred) Open-source contributions or visible ...

APIs and understanding of JSON data structures AI/LLM Exposure: Practical experience interacting with LLM APIs (OpenAI, Anthropic, etc.) and understanding concepts like Context Windows, RAG, System Prompts, and Temperature Concurrency: Understanding of asynchronous programming (WebSockets, goroutines) is highly beneficial given the real-time nature of voice data … experience in industry A team player who shows initiative Desirable experience: Experience with LLM guardrails and PII-redaction Understanding of LLM tool development and MCP Knowledge of Speech-to-Text (STT) or Text-to-Speech (TTS) technologies Experience with WebSockets and streaming data Familiarity with Telephony/VoIP Other Skills ...

Business Services, Corporate banking, Wealth Management, Group Functions, Retail and Investment Banking.On behalf of this organisation, AMS are looking for an API Backend Engineer (MCP) for a 6 Months contract based in Edinburgh or London (Hybrid). Purpose of the Role: As API Backend Engineer (MCP) you will be responsible … practices, and delivering solutions within SCRUM agile ways of working. Apigee experience is an advantage. Responsibilities of the role: As a API Backend Engineer (MCP) you will be responsible for: Design, develop, and maintain backend services and APIs (REST and event-driven). Build and operate APIs and MCPs using ...

platform that learns how the people running a company think, holds persistent organisational memory, and turns decisions into reliable execution • Bishop - our data foundation model for structured operational data with a live SaaS layer • AI systems for LEC Robotics and LEC Beverages - digital twins, agentic operations, and intelligent automation … operational environments • Proof of concept builds for new companies launching inside the group STACK Python, FastAPI, React, Postgres with pgvector, Neo4j, Redis, MinIO, Claude, MCP, OpenRouter, Ollama, multi-agent orchestration, RAG pipelines, vector search, Docker WHO WE ARE LOOKING FOR • Undergraduate (2nd year onwards) or postgraduate ...

prompt engineering, writing skills, and working with LLMs in real-world applications. You can demonstrate: Either a track record of implementing and documenting CLI & MCP services and advanced AI workflows. or hands-on experience building and deploying ML or Deep Learning pricing/analytical models. You are familiar with Python … obvious AI platforms such as GPT, Opus, Gemini, Sonnet. You will help the company move to a more fluid API/MCP architecture, including building connectors, that will make it easier for 3rd party ISVs to consume our data and features, and make it easier for the company to consume ...

workflows, prompts, rules and orchestration logic aligned to governance and risk requirements. Utilise Mulesoft tool such as Agent Fabric,Vibes, AI Gateway (LLM/MCP/A2A) to integrate agents into existing flows, data models and processes. Agent Control, Monitoring & Governance Implement control, monitoring and observability for Salesforce agents, including … experience working with Salesforce, including customisation, integration and automation. Knowledge of existing and emerging MuleSoft technologies such as Agent Fabric, Vibes, Gateway (LLM/MCP/A2A). Experience designing or implementing agentic or AI-driven automation within Salesforce or similar platforms. Strong understanding of API security, authentication mechanisms ...

This is a hands-on technical role with meaningful client exposure. You won't just build pipelines, you'll encode business logic into a context layer that makes AI genuinely useful on real commercial data. You'll deploy platforms for new brands, maintain and evolve existing ones, and help … handling raw data ingestion, structuring analytical output, and QA'ing every number before it reaches a stakeholder Extend and improve AI-integrated workflows including MCP servers, prompt engineering, and structured data pipelines that feed Claude-powered analytical outputs Own platform health and evolution, monitoring pipeline integrity, adapting the context ...

transformer architectures, SLMs, convolutional models, and related AI frameworks Build and optimise graph databases to support intelligent data relationships and retrieval Design and implement MCP servers and supporting AI infrastructure Select and apply appropriate machine learning techniques to achieve repeatable and measurable outcomes Contribute to AI architecture decisions, experimentation strategies … solutions Commercial experience with: Large Language Models (LLMs) Small Language Models (SLMs) Transformer architectures Convolutional models Experience designing and optimising graph databases Experience building MCP servers Proven ability to apply AI and ML techniques to solve complex data problems Experience delivering scalable and repeatable AI solutions Generative AI (GenAI) experience ...

Risk assessing AI integrations requires technical depth and will form the core of the role. Develop and maintain a deep working understanding of how MCP servers, API connections, permission scopes, and agentic frameworks function in practice, and what each means for data exposure, privilege escalation, and system integrity. Assess … independently. Able to identify and articulate risks that requesters have not considered. AI & Agentic Systems Knowledge: A working understanding of how LLMs, agentic AI, MCP servers, and AI integration patterns function, and the security risks they introduce, including prompt injection, tool misuse, data leakage, permissions that exceed what the integration ...