7 of 7 Contract Model Context Protocol Jobs

into reliable, scalable systems that deliver measurable value in real-world commercial environments . You will work across agent orchestration, LLM and vision-language model integration, retrieval, multimodal data, evaluation and production infrastructure. You'll be expected to understand not only how to make an AI system work … including model performance, agent behaviour and drift. Agent orchestration and inter-agent communication protocols such as A2A. Model Context Protocol (MCP). Secure-by-design development principles, including ISO 27001, NIST or OWASP. Experience working with highly regulated, mission-critical or data-intensive organisations. Experience with ...

cloud, on-premises, sovereign and fully offline environments. Engineer for reliability, latency, security and predictable failure behaviour. Build evaluation and observability capabilities to understand model performance, agent behaviour and failure modes. Take end-to-end ownership of technical workstreams, from architecture through deployment. Establish engineering patterns and technical direction … including model performance, agent behaviour and drift. Agent orchestration and inter-agent communication protocols such as A2A. Model Context Protocol (MCP). Secure-by-design development principles, including ISO 27001, NIST or OWASP. Experience within defence, national security or other highly regulated environments. Contributions to open ...

build enterprise workflow automation solutions. Experience integrating Microsoft 365 services, including Teams and SharePoint. Demonstrated technical leadership and mentoring capabilities. Desirable Skills: Familiarity with MCP (Model Context Protocol) services. Knowledge of Generative AI, LLMs, or Agentic AI technologies. Experience with Azure cloud services. Proficiency in CI/ ...

approval gates so developers can verify and correct agent output before it is merged. Integrate tools and data sources into the agents via MCP (Model Context Protocol). Set up evaluation, guardrails and tests to catch incorrect output early. Work alongside engineering team's and upskill them ...

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 ...

someone who has successfully implemented automation and AI within a Security Operations environment and can articulate both the technical implementation and the operating model required for long-term success. Key Responsibilities Security Automation: * Design, develop and maintain security automation workflows using hyper-automation platforms such as Torq, Tines, Swimlane … measure AI effectiveness, accuracy, quality and operational benefit. * Ensure AI capabilities complement analysts rather than simply replace human activities. * Help define the future operating model for analysts working alongside AI agents and automation platforms. SOC Strategy and Transformation: * Develop a roadmap for Security Automation and AI adoption within ...

wider Information Security organisation, including 1st, 2nd and 3rd lines of defence, you will help deliver agentic security solutions that support our target operating model and future security strategy. Key Responsibilities As a Senior Security Engineer - AI, you will: Design and develop security solutions for AI-driven and agentic … practical implementation or conceptual design, including: Security and governance for AI solutions, including identity, observability and risk management. Agentic architectures and patterns such as MCP, RAG, Tools, Memory and Harnesses. Experience working within complex, enterprise-scale environments. The ability to translate security requirements into practical, engineering-aligned solutions. Hands ...