10 of 10 Contract MCP Jobs

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/ ...

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 ...

Python. You will also have practical experience with LangGraph or other agentic workflow frameworks. You will have a deep understanding of context management and MCP-style tool protocols.Experience with RAG architectures including embeddings, retrieval strategies etc. You should have strong understanding of workflow orchestration concepts (state, retries, idempotency). ...

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 ...

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 ...

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 ...

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 ...