26 to 50 of 361 Model Context Protocol Jobs in England

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 ...

with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, 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 Competencies … 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 Preferred: Familiarity with basic coding and analytics principles, including ...

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 ...

native" metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. Ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication. About the job Google Cloud’s mission is to make every business successful through AI by combining cutting-edge … development of complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment. Design and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs ...

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 ...

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 ...

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 ...

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 ...

similar).Experience with GenAI/LLM systems in a production context (RAG, prompt orchestration, evaluation, guardrails, cost/latency optimisation).Exposure to MCP (Model Context Protocol) and tool-based/function-calling architectures. Experience deploying and operating machine learning models/MLOps pipelines (e.g. model ...

role is engineering AI agents and agentic workflows. You will design how agents use trusted knowledge, approved tools, Model Context Protocol (MCP) services, approvals, human hand-offs and safe failure paths. You will ensure that evaluation, observability, identity, permissions and data boundaries are built into delivery rather … agents and agentic workflows using trusted knowledge, tools, actions, approvals, human hand-offs, evaluation and safe failure paths Design and implement integrations with approved MCP Servers and lead development of MCP tools or services using secure, reusable patterns Integrate Power Platform and AI solutions with Microsoft 365, SharePoint, Microsoft Graph ...

Apply Prompt Engineering and Context Engineering techniques to optimise AI performance and accuracy. Implement AI solutions using frameworks such as LangChain , LangGraph , and MCP . Integrate AI services and enterprise platforms through REST APIs and cloud-native architectures. Deliver scalable, secure, and reliable solutions using Python … Natural Language Processing (NLP) Prompt Engineering , Context Engineering AI Agents , Agentic AI , Multi-Agent Systems LangChain , LangGraph , Model Context Protocol (MCP) RAG , Embeddings , Vector Databases Python , SQL , REST APIs Git , CI/CD Cloud Platforms (Azure, AWS, or GCP) LLM & AI Agent Testing and Evaluation Desirable ...

Planning and Analysis (FP&A), Accounting, and leadership rely on to make critical decisions. You'll design and build the Snowflake architecture and dbt model infrastructure that underpins our topline data chain, and you'll be the person the team counts on when something needs to be fixed before … Functions) or AWS; familiarity with auth patterns (JWT, OAuth) and CI/CD fundamentals Preferred: Experience with Model Context Protocol (MCP) or similar frameworks for connecting AI agents to structured data Preferred: Background in B2B SaaS metrics: ARR, gross revenue retention (GRR), net revenue retention (NRR), churn ...

Planning and Analysis (FP&A), Accounting, and leadership rely on to make critical decisions. You'll design and build the Snowflake architecture and dbt model infrastructure that underpins our topline data chain, and you'll be the person the team counts on when something needs to be fixed before … Functions) or AWS; familiarity with auth patterns (JWT, OAuth) and CI/CD fundamentals Preferred: Experience with Model Context Protocol (MCP) or similar frameworks for connecting AI agents to structured data Preferred: Background in B2B SaaS metrics: ARR, gross revenue retention (GRR), net revenue retention (NRR), churn ...

Planning and Analysis (FP&A), Accounting, and leadership rely on to make critical decisions. You'll design and build the Snowflake architecture and dbt model infrastructure that underpins our topline data chain, and you'll be the person the team counts on when something needs to be fixed before … Functions) or AWS; familiarity with auth patterns (JWT, OAuth) and CI/CD fundamentals Preferred: Experience with Model Context Protocol (MCP) or similar frameworks for connecting AI agents to structured data Preferred: Background in B2B SaaS metrics: ARR, gross revenue retention (GRR), net revenue retention (NRR), churn ...

Amazon Bedrock; model gateways and routing, retrieval and hybrid search, document ingestion, tool/function calling, Model Context Protocol (MCP), and agent orchestration AI Evaluation & Quality: Eval harnesses and golden datasets, LLM-as-judge and human-in-the-loop review, regression suites, and red-teaming Observability … support to developers using platform services, triaging and resolving requests and issues. Support governed self‐service access to AI platform capabilities, including model access, retrieval tooling, and evaluation workflows, so AI capabilities can move from prototype to production using standard platform patterns. CI/CD, Release Management & Test Automation ...

engineering role, not a configuration one. As Salesforce grows into a serious AI platform, you'll be building with Agentforce, Einstein, Prompt Builder, Model Builder, and Data Cloud to create agents and AI-driven features that hold up under real workloads.The work varies a lot. One day you might … building solutions for large-scale environments supporting hundreds or thousands of Salesforce users.Nice to have: familiarity with the Model Context Protocol (MCP), vector search and embeddings, or Python for AI tooling.Consulting & DeliveryProven experience translating complex business requirements and user stories into scalable technical solutions.Experience delivering solutions using ...

project management skills in Agile environments Experience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques Apply now to find out more about this Backend Software Engineer/Developer (Python LLM MLOps … MCP) opportunity. ...

agentic AI systems, intelligent workflows or AI orchestration capabilities. Experience evaluating AI solutions for quality, reliability, latency, cost and security. Understanding of prompt engineering, context engineering, Retrieval‐Augmented Generation (RAG), tool calling and modern AI application architectures. Experience applying AI‐assisted engineering practices throughout the software development lifecycle, including … Beneficial Experience with React and modern frontend development. Experience building Enterprise SaaS or ERP products. Experience working with Model Context Protocol (MCP) or similar AI integration standards. Experience with vector databases, AI observability or AI evaluation frameworks. Experience designing and delivering enterprise‐scale AI platforms ...

backend services and REST/GraphQL APIs using Java/Spring Boot (or equivalent modern backend stack). Contribute to system architecture and data model design in collaboration with senior/lead engineers. Write clean, well-tested, maintainable code following TDD/BDD practices and team coding standards. Participate … strong aptitude to learn) building or integrating agents using frameworks such as LangChain, LangGraph, AutoGen, CrewAI , or the Model Context Protocol (MCP) . Ability to design and expose backend services as tools/functions callable by AI agents (tool schemas, function calling, structured outputs). Experience with ...