51 to 75 of 721 Model Context Protocol Jobs in the UK

stability. You will help deliver GenAI services using public cloud capabilities. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. You will contribute as a team player who seeks … corporate environment using modern programming and database querying languages, including containerization Knowledge of agent-to-agent (A2A) communication, Model Context Protocol (MCP), AI skills development, personal AI assistants, or agentic orchestrators #LLMSuiteEngineering_jobs #J-18808-Ljbffr ...

graph, and hybrid approaches. Design multi-agent systems with modern orchestration and reasoning architectures, including human-in-the-loop and autonomous frameworks. Define memory, context, planning, tool-use, and reasoning strategies for agentic systems. Stay technical. Contribute to architecture, critical-path code, design reviews, and the hardest technical problems. … Semantic Kernel, Strands. Advanced retrieval : Graph RAG, knowledge graphs, context graphs, hybrid search, vector databases. Agentic patterns : multi-agent architectures, planning and reasoning, MCP (Model Context Protocol). Model customization: fine-tuning, distillation, and model evaluation at scale. What success looks like in this ...

high-stakes domains: guardrails, autonomy levels, kill switches, and human-in-the-loop approval Experience with agent runtimes - sandboxing and isolation, tool invocation (e.g. Model Context Protocol), multi-agent orchestration, and reasoning-loop control A track record of building or operating an evaluation and analytics harness … next in how AI gets embedded in complex, regulated systems Bonus Points For Experience building or defining agent-to-agent or tool-integration protocols (Model Context Protocol and similar) at platform scale Knowledge of evaluation frameworks and fine‐tuning techniques. Familiarity with graduated autonomy models and agent ...

every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies3+ … engagement monitoring, issue resolution and feedback collectionPreferred: Familiarity with financial data, company information, credit research, corporate ownership or risk management solutionsPreferred: Experience working with Model Context Protocol services, agentic workflows, generative artificial intelligence platforms or embedded data solutionsPreferred: Familiarity with basic coding and analytics principles, including HTML ...

issue resolution and feedback collection Preferred: Familiarity with financial data, company information, credit research, corporate ownership or risk management solutions Preferred: Experience working with Model Context Protocol services, agentic workflows, generative artificial intelligence platforms or embedded data solutions Demonstrated proficiency in artificial intelligence concepts, with hands … data solutions through implementation leadership, technical guidance and consultative support. Lead implementation, onboarding and adoption activities for generative artificial intelligence, agentic workflow, data and Model Context Protocol solutions Manage customer engagements from discovery and requirements gathering through technical onboarding, training, feedback collection and completion Conduct workflow assessments ...

Claude on Bedrock, Gemini, Azure OpenAI), selected per use case for quality, latency and cost. Interfaces: Tools and Model Context Protocol (MCP) for integration; standards-based APIs and secure auth for client systems. What you'll do Conceptualize fast: embed with stakeholders, frame a business process … serve. Engineer the agent core: apply prompt engineering, context engineering, prompt caching, RAG/context-graph retrieval, memory, tool/function calling, MCP integration and multi-agent orchestration. Integrate to standards: connect agents into client ecosystems through proven integration patterns, standards-based APIs and secure authentication. Make reusability ...

Claude on Bedrock, Gemini, Azure OpenAI), selected per use case for quality, latency and cost. Interfaces: Tools and Model Context Protocol (MCP) for integration; standards-based APIs and secure auth for client systems. What you'll do Conceptualize fast: embed with stakeholders, frame a business process … serve. Engineer the agent core: apply prompt engineering, context engineering, prompt caching, RAG/context-graph retrieval, memory, tool/function calling, MCP integration and multi-agent orchestration. Integrate to standards: connect agents into client ecosystems through proven integration patterns, standards-based APIs and secure authentication. Make reusability ...

Claude on Bedrock, Gemini, Azure OpenAI), selected per use case for quality, latency and cost. Interfaces: Tools and Model Context Protocol (MCP) for integration; standards-based APIs and secure auth for client systems. What you'll do Conceptualize fast: embed with stakeholders, frame a business process … serve. Engineer the agent core: apply prompt engineering, context engineering, prompt caching, RAG/context-graph retrieval, memory, tool/function calling, MCP integration and multi-agent orchestration. Integrate to standards: connect agents into client ecosystems through proven integration patterns, standards-based APIs and secure authentication. Make reusability ...

Claude on Bedrock, Gemini, Azure OpenAI), selected per use case for quality, latency and cost. Interfaces: Tools and Model Context Protocol (MCP) for integration; standards-based APIs and secure auth for client systems. What you'll do Conceptualize fast: embed with stakeholders, frame a business process … serve. Engineer the agent core: apply prompt engineering, context engineering, prompt caching, RAG/context-graph retrieval, memory, tool/function calling, MCP integration and multi-agent orchestration. Integrate to standards: connect agents into client ecosystems through proven integration patterns, standards-based APIs and secure authentication. Make reusability ...

system that solves it. Architecture, implementation, evaluation, and production operation. You are responsible for the system working, not just for your code compiling. Design context and retrieval strategies. What goes into the context window and what stays out is the most consequential design decision in an AI system. … thinking or external contributions in AI engineering (talks, writing, open source) Experience with multi-agent coordination: task decomposition, handoff, shared state Practical experience with MCP (Model Context Protocol) or equivalent agent integration standards What We Are Not Looking For Pure ML researchers without production engineering experience. ...

potential impact and value for Cigna, advising senior leadership on AI strategy, feasibility and adoption paths.AI ArchitectureDefine architectural patterns and standards to support AI model lifecycle management, AI and data pipelines, feature engineering, and associated design artefacts.Architect and own enterprise-scale Generative AI platforms supporting multiple business use cases … LLMs), embeddings, prompt engineering - Retrieval-Augmented Generation (RAG), Knowledge bases and Multimodal embeddingsAgentic AI workflows and tool calling - Model Context Protocol (MCP) concepts and context managementKnowledge on foundational models and inference profiles, regional hosting and restrictions of various models and be able to identify the right ...

Lead for FactSet’s Banking and Insurance offerings across Europe, the Middle East, and Asia-Pacific and global leadership responsibilities for FIG AI and MCP initiatives.This senior role has two complementary mandates. First, you will lead international client engagement, market development, and product opportunity identification for FactSet’s Banking … Insurance offerings. Second, you will lead Deep Sector FIG’s contribution to FactSet’s broader AI and MCP initiatives globally. Partner with FactSet’s AI, Applications, Content, and Engineering teams to ensure Banking and Insurance content is structured, contextualized, discoverable, and reliable for AI-enabled and agentic workflows. Engage directly ...

bridge between cutting‐edge AI technologies and existing high‐code and low‐code platforms, the role focuses on AI enablement rather than foundational model building, ensuring intelligence is thoughtfully integrated into systems and workflows. The AI Engineer designs, develops, and assures AI-enabled solutions, improves automation efficiency, elevates engineering … automation platforms (e.g., Power Automate, n8n, Workato) by embedding intelligent processing and applying agentic patterns where relevant. Implement Model Context Protocol (MCP) servers for secure AI‐to‐system connectivity. Lead AI‐based document parsing and intelligent data extraction initiatives. Contribute to educating and enabling Enterprise Capabilities areas ...

Engineer at Oxford Dynamics, you will build and ship agentic AI systems in production: designing the multi-agent pipelines, the reasoning and retrieval, the model integration, and the infrastructure that carries them into production. These are systems people rely on to make consequential decisions, so what you build … behaviour, performance monitoring) Experience with agent orchestration patterns and inter‐agent communication protocols (e.g. A2A) Familiarity with the Model Context Protocol (MCP) for tool and context integration in agentic systems Familiarity with secure‐by‐design development principles (ISO 27001, NIST, OWASP) Experience in defence, national security ...

Engineer at Oxford Dynamics, you will build and ship agentic AI systems in production: designing the multi-agent pipelines, the reasoning and retrieval, the model integration, and the infrastructure that carries them into production. These are systems people rely on to make consequential decisions, so what you build … behaviour, performance monitoring) Experience with agent orchestration patterns and inter‐agent communication protocols (e.g. A2A) Familiarity with the Model Context Protocol (MCP) for tool and context integration in agentic systems Familiarity with secure‐by‐design development principles (ISO 27001, NIST, OWASP) Experience in defence, national security ...

Engineer at Oxford Dynamics, you will build and ship agentic AI systems in production: designing the multi-agent pipelines, the reasoning and retrieval, the model integration, and the infrastructure that carries them into production. These are systems people rely on to make consequential decisions, so what you build … behaviour, performance monitoring) Experience with agent orchestration patterns and inter‐agent communication protocols (e.g. A2A) Familiarity with the Model Context Protocol (MCP) for tool and context integration in agentic systems Familiarity with secure‐by‐design development principles (ISO 27001, NIST, OWASP) Experience in defence, national security ...

Engineer at Oxford Dynamics, you will build and ship agentic AI systems in production: designing the multi-agent pipelines, the reasoning and retrieval, the model integration, and the infrastructure that carries them into production. These are systems people rely on to make consequential decisions, so what you build … behaviour, performance monitoring) Experience with agent orchestration patterns and inter‐agent communication protocols (e.g. A2A) Familiarity with the Model Context Protocol (MCP) for tool and context integration in agentic systems Familiarity with secure‐by‐design development principles (ISO 27001, NIST, OWASP) Experience in defence, national security ...

team's work spans the full surface of how Multiverse operates. You own the technical architecture of our agentic operating system: the agent orchestration, context strategy, tool integrations, evaluation framework, and production operation. Your design decisions shape what is possible for human and AI teams at Multiverse Ship production … Published thinking or external contributions in AI engineering (talks, writing, open source) Experience designing platform layers that other teams build on Practical experience with MCP (Model Context Protocol) or equivalent agent integration standards What We Are Not Looking For Pure ML research without production engineering experience. ...

agent platforms (e.g. Amazon Bedrock, Microsoft Agent Framework, Claude Agent SDK), or comparable tools, including standards such as Model Context Protocol (MCP) for connecting agents to tools and data. Experience with retrieval systems for agents: retrieval-augmented generation, embedding models, vector databases, and long-term memory. Experience … support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRocks hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting ...

agent platforms (e.g. Amazon Bedrock, Microsoft Agent Framework, Claude Agent SDK), or comparable tools, including standards such as Model Context Protocol (MCP) for connecting agents to tools and data. Experience with retrieval systems for agents: retrieval-augmented generation, embedding models, vector databases, and long-term memory. Experience … support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRocks hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting ...

have: Experience building CLIs with clean argument parsing, help text, and user‐friendly error handling Understanding of Model Context Protocol (MCP), have built MCP servers/clients, and understand how LLMs invoke tools and interact with external systems Experience with Redis Streams, event‐driven architectures, or real ...

client data into reliable pipelines, and turn those pipelines into production AI systems that deliver measurable business value. You will own the data and model layers of our client projects: designing and building the pipelines that feed AI systems, developing and deploying ML and LLM‐powered solutions, and standing … LangGraph, AutoGen, CrewAI), including agent evaluation and observability (e.g. LangSmith) Familiarity with tool/function calling and the Model Context Protocol (MCP) for connecting agents to external systems and data Experience with infrastructure‐as‐code and serverless data/ML deployment (Lambda, Cloud Run, Azure Functions) Exposure ...

Role Description gravity9 is expanding its Forward Deployed Engineering team to build production agentic AI systems for enterprise clients, in partnership with leading frontier-model providers. We already support clients from different verticals to have agentic and RAG systems live in production across healthcare, financial services, retail and global … observability. Strong advantage Anthropic certification (Claude Developer/Anthropic‐issued credential), an explicit advantage at shortlisting. Anthropic Agent SDK production experience, a significant bonus. MCP (Model Context Protocol): building servers and clients, tool exposure, auth patterns. Claude Code as an autonomous SDLC agent: sub‐agents, hooks, custom ...

architecture differentiates us from competitors like MuleSoft and BoomiInfluence enterprise architecture decisions and multi-year technology strategies at the executive levelAI, Agentic Automation & Enterprise MCP StrategyShape and guide customers' AI and agentic automation journeys, leveraging Workato's AI capabilities and ecosystemAdvise on the design and adoption of agent-based workflows … human-in-the-loop models, and decision automation frameworksPartner with customer executives to define enterprise MCP (Model Context Protocol) strategies including context management, secure AI orchestration, and governanceTranslate emerging AI capabilities into practical, scalable enterprise use cases that drive measurable business outcomesPosition Workato as the integration ...

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 ...