7 of 7 Permanent Model Context Protocol Jobs in Central London

language for enterprise microservice integration. Hands-on experience with vector databases and semantic search pipeline design. Experience with Model Context Protocol (MCP). Experience with large-scale data platforms such as Databricks and search engines such as Elasticsearch, in an analytical or AI feature engineering context. Demonstrated ...

engineers through constructive code reviews, hands-on coaching and sharing engineering best practices. Nice to have Experience with Model Context Protocol (MCP), vector search or embeddings. Python or other programming experience beyond the Salesforce platform. Salesforce certifications across development, architecture or AI. Why join? Work on innovative ...

Design secure architectures for Microsoft 365 Copilot, Copilot Studio, AI agents, custom AI applications, retrieval-augmented generation, Azure AI services, third-party models and Model Context Protocol integrations. * Own the technical security control catalogue and map control objectives to architecture patterns, technology configurations, owners, evidence and testing ...

tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony Engineering for production from day one: guardrails, security … projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into it Desirable: Vector databases, embeddings, fine-tuning Cloud experience ...

experience with C# ideally Python experience Entra experience Azure Cloud experience - including Azure functions such as Service Bus, Azure DevOps AI Foundry API MCP Frontier AI tools and Models Large Language Models SQL DevOps understanding/experience Retrieval Augmented Generation (RAG) Desirable experience: Experience with other cloud platforms Azure certifications … Solutions Architect, AI Foundry, Azure, AZ-305, AZ-104, AI-103, TOGAF, Zachman, Python, C#, Agile, Azure AI, Agentic, OpenAI, LLM, Integration, API, MCP, Retrieval Augmented Generation, RAG, SQL, PostgreSQL, DevOps, Azure Functions, Service Bus, Cosmos, Solutions Architect, AI Architect, AI Solutions Architect, AI Foundry, Azure ...

tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony Engineering for production from day one: guardrails, security … projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into it Desirable: Vector databases, embeddings, fine-tuning Cloud experience ...

environments, translating business and client needs into product or technical requirements Experience defining business or technical requirements for agentic systems and interoperability protocols (e.g., MCP, A2A) Demonstrated ability to partner effectively with Liquid AI, engineering, and product teams to shape and prioritize a roadmap from a business and commercial perspective … flexibility to adapt scope as Circanas approach to agentic technology continues to evolve Fluency in English (required) Preferred Familiarity with protocols such as MCP, A2A, and AgentUser Interaction Protocol (AG-UI) Familiarity with major AI agent ecosystems (e.g., Microsoft Copilot, Google Gemini, Anthropic Claude) from a business or strategic ...