51 to 71 of 71 MCP Jobs in England

working in Agile delivery environments (Agile, SAFe, XP, Jira, Confluence, etc.) Desirable Experience Experience in Banking (essential focus area) Exposure to Model Context Protocol (MCP) Experience in regulated enterprise environments Understanding of MLOps/LLMOps practices Ability to contribute to ROI modelling, business cases, and AI value articulation Experience mentoring ...

with AI and LLM platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures, with experience integrating AI securely and at scale Practical experience in enterprise AI governance, prompt engineering, and deployment approaches (including ...

with AI and LLM platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures, with experience integrating AI securely and at scale Practical experience in enterprise AI governance, prompt engineering, and deployment approaches (including ...

drive measurable business outcomes. Skills & Responsibilities Build and deploy production-grade AI agents and LLM-powered applications. Design agentic workflows using LangChain, LangGraph, MCP, FastMCP, or similar frameworks. Develop and optimise Retrieval-Augmented Generation (RAG) systems. Integrate AI solutions into products, APIs, and business workflows. Work with AWS, Azure … experience and production software engineering skills. Proven track record shipping LLM-based solutions into production environments. Tech stack: Python | LLMs | Agentic AI | LangChain | LangGraph | MCP | RAG | Vector Databases | AWS | Azure | GCP | APIs | SQL | Machine Learning | Forecasting Senior AI Engineer (LLM/Agentic AI) | London (Hybrid) | £600–£700/day | Outside ...

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. ...

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 ...

APIs) and bespoke data visualisation and presentation solutions. You will also contribute to our growing "question in insight out" initiative, exposing consortium data through MCP servers and agent-based interfaces so that researchers can ask scientific questions in natural language and get back analysis, not just download links. You will … orchestration (e.g. with kubernetes) Experience processing of biological archive data Tests and CI/CD Curiosity or experience with LLM APIs, agent frameworks, MCP, or retrieval-augmented systems - we are actively building in this space and welcome enthusiasm here even without prior production experience Contract length: 2 years grant funded ...

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 ...

stack and infrastructure,system access and permissions, security and compliance requirements, SSO, internalplatforms, and enterprise services API & Contract Design Define and maintain APIs and MCP-based interfaces between systems. Ensure clear ownership boundaries between domains. Enable secure access to company data through well-defined contracts rather than data duplication. What … Experience in early-stage startups and fast-paced environments. Experience building company-wide knowledge platforms and enterprise search systems. Familiarity with: LangGraph, Mastra, n8n, MCP ecosystem, Modern agent frameworks Experience with access-controlled enterprise knowledge retrieval systems. Previous experience supporting executive decision-making systems or internal AIcopilots. What Success Looks ...

guide integration patterns between applications, platforms, and AI services Make pragmatic decisions about when and how emerging AI integration approaches (e.g. protocols such as MCP) should be adopted Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions Ensure solutions meet standards … production environments Desirable experience: Integrating software systems with AI platforms or AI-enabled services Exposure to emerging AI integration patterns or protocols (e.g. Model Context Protocol ) Platform engineering or DevOps at scale Experience working in regulated or security-conscious environments Defining technical standards or architectural direction across multiple teams ...

agents, and automated workflows for internal teams Integrate frontier AI models (primarily Claude) into our systems, third-party platforms, and BigQuery data warehouse via MCP servers, APIs, and CLI workflows Set up and secure self-hosted infrastructure including GPU workloads, model serving, and internal endpoints Own the security posture … TypeScript/Node.js a plus Deep hands-on experience with the Anthropic API, Claude, tool use, MCPs, and prompt engineering Comfortable building and extending MCP servers and working in CLI-first environments Solid infrastructure knowledge: Linux, Docker, cloud deployment (GCP/AWS), self-hosted server administration Security-first mindset with ...

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 ...

guide integration patterns between applications, platforms, and AI services - Make informed decisions on when and how emerging integration approaches (e.g. protocols such as MCP) should be applied as part of broader system design - Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions ...

complex environments Desirable experience: Integrating software systems with AI platforms or AI-assisted workflows Exposure to emerging AI integration approaches or protocols (e.g. MCP) Platform engineering or DevOps at scale This is an opportunity to sit at the intersection of modern software engineering, DevOps, and applied AI , working on real ...

owning dbt models on BigQuery across trading, finance, and regulatory domains Supporting both BI users (Looker dashboards) and AI agents consuming governed data via MCP Owning pipeline reliability during London hours; incident response, schema drift, reconciliation breaks Semantic layer work that needs to be precise enough for AI agents ...