19 of 19 Contract Model Context Protocol Jobs

translating ambiguous business problems into robust, production-grade solutions. You will play a hands-on role in building and scaling asynchronous task pipelines, implementing MCP (Model Context Protocol) servers and tools around complex APIs and internal systems, and integrating LLM-based orchestration frameworks. On the front … using Celery, Redis (as broker/result backend), Celery Beat (scheduled/periodic tasks), and Flower (task monitoring/observability). * Build and maintain MCP (Model Context Protocol) servers and tools, exposing complex internal APIs, databases, and systems as structured, consumable tools for AI agents and applications. ...

Senior AI Platform Engineer - MCP | TypeScript | AWS | Agentic AI Salary: Up to £100,000 Location: London - Hybrid Type: Permanent We're working with an established, technology-led business in the sports betting industry that's investing heavily in AI, with ambitious plans to transform its platform through LLM integration, intelligent … looking for a Senior AI Platform Engineer to lead the architecture, design and implementation of a Model Context Protocol (MCP) gateway. This will enable LLMs and AI agents to securely interact with existing services, APIs and business logic, laying the foundations for a wider AI strategy focused ...

engineering, distributed systems, Generative AI and full-stack development. You will be responsible for designing and delivering production-grade backend services, asynchronous processing pipelines, MCP (Model Context Protocol) servers and AI-driven workflows, alongside modern React-based front-end applications. You will also work closely with business … solutions. Key Responsibilities Design, develop and maintain backend services using Python. Build asynchronous task-processing pipelines using Celery, Redis, Celery Beat and Flower. Develop MCP servers and tools to expose internal APIs, databases and enterprise systems to AI agents. Implement agentic AI workflows using LangChain and/or LangGraph. Build ...

supporting a public sector organisation with the secure rollout and governance of AI-enabled developer tooling, including GitHub Copilot, Copilot CLI, GitHub CLI and MCP (Model Context Protocol) servers. This role would suit a Platform Engineer, DevSecOps Engineer, AI Platform Engineer, Developer Experience Engineer or GitHub Enterprise … Administrator with experience balancing innovation, security and governance. Key Responsibilities Administer and configure GitHub Enterprise, GitHub Copilot and Copilot CLI. Evaluate, test and govern MCP servers, including GitHub, Jira and Confluence integrations. Implement AI security controls, access policies and approval processes. Conduct threat modelling and AI risk assessments in partnership ...

LLMs, agentic AI and generative AI services. Select and integrate appropriate AI frameworks and tools (e.g. LangChain, Semantic Kernel, Llama, vector-based search, MCP/Model Context Protocol) into the enterprise architecture. Design and implement RAG (Retrieval-Augmented Generation) architectures, including data ingestion, vector stores, and knowledge … Desirable Skills: Experience with LangChain, Semantic Kernel, Llama and related frameworks for building LLM-based applications. Familiarity with Model Context Protocol (MCP) and emerging standards for AI orchestration and context management. Experience designing and implementing RAG architectures in enterprise environments. Background in cloud platforms (e.g. ...

evidence discovery pipeline across ~1,500 SharePoint artefacts (emails, contracts, risk logs) across ~60 nested folders using Model Context Protocol (MCP) to standardise LLM tool integration. Core ResponsibilitiesMCP Server & Tooling Implementation: Design and deploy custom MCP Servers exposing SharePoint Online/Microsoft Graph endpoints and Azure … Search capabilities as standard MCP tools/resources for LLM hosts and agents.SharePoint Ingestion & Ingest Pipelines: Build secure, recursive Graph API routines to extract documents, emails, and attachments, feeding structured metadata and raw content into the indexing and MCP tool pipelines.Agentic GenAI & RAG Architecture: Implement agentic decision-making using MCP ...

part of the role is connecting our AI platform with internal and third-party services through APIs and Model Context Protocol (MCP) integrations. You will build features across the application stack and help ensure they operate reliably in production. Key responsibilities Develop backend services in Node.js … maintain frontend functionality using an appropriate modern web framework. Design, implement, document and integrate APIs connecting our platform, customer applications and external services. Develop MCP clients and servers that expose approved tools, resources and capabilities to AI applications. Define and validate JSON schemas, API contracts and integration payloads. Implement authentication ...

Engineer to lead the build of an enterprise AI evidence discovery platform using SharePoint, Azure AI services and Model Context Protocol (MCP ). The role involves designing AI-powered search and retrieval capabilities across documents, emails, contracts and risk artefacts, while mentoring a junior engineer. Responsibilities - Develop … MCP servers exposing SharePoint and Azure AI Search capabilities to AI agents. - Build SharePoint and Microsoft Graph ingestion pipelines for documents, emails and attachments. - Design and implement RAG and agentic AI workflows using Azure OpenAI. - Deliver hybrid search solutions combining semantic and vector retrieval. - Implement secure, permission-aware access controls ...

agentic systems, covering drift, agent behaviour and performance Familiarity with agent-to-agent orchestration protocols or the Model Context Protocol (MCP) Awareness of secure-by-design frameworks (ISO 27001, NIST, OWASP) Open-source AI/ML contributions Why Apply Real technical ownership: shape the architecture, not just ...

technologies. Develop RAG architectures and integrate vector search solutions. Implement orchestration workflows using Semantic Kernel and LangGraph. Integrate enterprise systems, APIs, and tools using MCP and similar frameworks. Establish AI governance, security, safety, and responsible AI practices. Lead the implementation and deployment of AI services into production environments. Collaborate with … LangGraph. Experience building multi agent architectures, RAG solutions, and complex orchestration workflows. Strong Python development skills with experience building scalable microservices. Knowledge of MCP (Model Context Protocol) and AI tool integration frameworks. Experience with event driven architectures, REST APIs, Docker, Kubernetes, MLOps, and LLMOps. Solid understanding ...

production deployment. Key Skills: Strong Python development skills Azure OpenAI and Azure AI Foundry Semantic Kernel and LangGraph Model Context Protocol (MCP) and tool integration Azure AI Search and RAG architecture Multi-agent systems and orchestration workflows Vector databases, embeddings and semantic search Event-driven architectures ...

high-profile programme building next-generation AI, agentic systems and data platforms. You'll be responsible for developing scalable backend services in Python, building MCP servers and AI-powered workflows, and delivering modern front-end applications using React and AG Grid. This is a hands-on role where … work closely with business stakeholders to turn complex requirements into production-grade solutions. Key skills: Python (5+ years) Celery, Redis, Celery Beat, Flower MCP (Model Context Protocol) LangChain and/or LangGraph React & AG Grid SQL (Oracle desirable) REST APIs & distributed systems Stakeholder engagement & requirements gathering Desirable ...

decision support. Design, generate and validate structured JSON outputs using defined schemas, data types and validation rules. Prepare, clean, transform and structure data for model development, application consumption, reporting and dissemination. Evaluate appropriate approaches, including conventional machine learning, large language models, retrieval-augmented generation and fine-tuning where justified. … data and data validation. Experience preparing datasets, using SQL and building reproducible data processing workflows. Sound understanding of statistical evaluation, overfitting, data leakage and model limitations. Ability to write maintainable, tested code and collaborate through version control. Clear communication and the ability to translate business problems into measurable technical ...

/CD, and Infrastructure as Code. Experience with MLOps, LLMOps, observability, monitoring, and production support. Hands-on experience with agentic AI, multi-agent systems, MCP, A2A, or similar orchestration frameworks. Experience working within enterprise environments where integration with existing systems is critical. This is an excellent opportunity for a Staff ...

document-based RAG. Strong understanding of data quality, governance and access controls. Proven ability to build and productionise scalable data solutions. Desirable: Claude Enterprise, MCP, Fabric data agents or comparable AI-to-data integration technologies. The opportunity Validate AI responses against existing Power BI reporting, then scale the capability across ...

Skills/Tech Experience Required: GCP Python Vertex AI/Gemini LangChain/LangGraph RAG/Vertex AI RAG Engine Multi-Agent Architectures MCP/A2A Terraform Kubernetes UK based for tax purposes If you're a hands-on AI/Data Engineer looking to work on cutting-edge Google ...

Cloud Run, Pub/Sub) Hands on experience with Kafka/Messaging Prior working experience with PostgreSQL/SQL Practical AI Agents (Tool-calling, MCP, Vertex AI) Remote (UK-based) | 6-Month Initial Contract |??£60 per hour (Umbrella) Inside IR35 If you thrive on solving complex integration challenges and want ...

quality, and maintainability considerations. Essential Skills & Experience Active SC Clearance (essential). Strong hands-on experience building and deploying agentic AI solutions. Expertise in model selection, prompt engineering, agent orchestration, and tool integration. Experience applying AI across the Software Development Lifecycle … including code generation, testing, documentation, code review, and modernisation activities. Practical exposure to AI engineering tools such as GitHub Copilot, Claude Code, Codex, Kiro, MCP, or similar technologies. Proven track record defining and implementing engineering standards adopted across multiple teams or programmes. Strong stakeholder engagement skills with the ability ...

intelligent applications and data platforms supporting complex, data-intensive workflows. You will develop Python backend services, asynchronous processing solutions using Celery and Redis, and MCP tools integrating APIs, databases and internal systems. You will also work with LangChain and LangGraph to build agentic AI workflows. This is a hands … months What you'll need to succeed Strong hands-on Python development experience, Strong experience with Celery and Redis Hands-on experience building MCP servers and tools Experience with LangChain and/or LangGraph Strong React development experience, Strong automated testing experience Experience within financial services, commodities, trading or market ...