1 to 25 of 118 Model Context Protocol Jobs in the UK

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. ...

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 ...

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 ...

Claude, OpenAI, and API ecosystems to automate the generation of static and video ad assets. Architect and manage Model Context Protocol (MCP) servers and configurations, establishing secure, standardized connections between LLM applications and external tools, data sources, and asset repositories. Develop and maintain the technical plumbing … integrations connecting performance data pipelines, media libraries, and production software. Engineer advanced context and prompt frameworks, utilizing MCP and other tooling to ensure context such as brand guidelines, design specs, program specific data sources are accessible and agent-readable. Build automated agents capable of reading design systems, parsing ...

Platform Engineer - TypeScript | AWS | MCP | Agentic AI Salary: £80,000 Location: London We're working with an established, technology-led business in the sports betting industry that's making a significant investment in AI, with ambitious plans to transform how its platform operates, automate complex processes and deliver increasingly personalised … Engineer to join this newly established function, working alongside an experienced technical lead to design and build a Model Context Protocol (MCP) gateway that will enable AI agents and LLMs to securely interact with the company's existing services, APIs and business logic. This is a genuine ...

OAuth2), rate limiting, usage attribution, and audit logging controls. Implement safe integrations with AI agents, tool calling, and Model Context Protocol (MCP) services. Key Skills & Experience Required: Strong hands-on experience building production APIs/backend services in Python or TypeScript/Node.js. Practical experience integrating … Clearance Desirable Skills: Experience with Cloudflare AI Gateway or custom AI proxy configurations. Hands-on experience with Model Context Protocol (MCP) or agentic frameworks. Knowledge of RAG, vector databases, embeddings, or LLM evaluation frameworks. Awareness of AI security threats (prompt injection, data leakage, unsafe tool execution). ...

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 ...

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 ...

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 ...

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 ...

data integration project for a leading organisation. The project will focus on integrating Claude AI with Tableau using Model Context Protocol (MCP), enabling AI-driven data analysis and reporting through integration with Snowflake. Key Skills & Experience: - Strong experience with Snowflake, dbt and Azure Data Factory (ADF). … data integration. - Strong SQL and data pipeline development skills. - Experience with APIs and system integrations. - Understanding of Model Context Protocol (MCP) and LLM integrations. - Exposure to Claude AI or similar AI platforms would be advantageous. Contract Details: - Outside IR35 - Remote working An excellent opportunity to work ...

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. ...

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. ...

including: Azure AI Foundry Azure API Management (APIM) Azure Kubernetes Service (AKS) Azure Container Apps Azure AI Search Model Context Protocol (MCP) services and supporting infrastructure Establish and maintain platform standards, guardrails, policies and onboarding requirements. Review technical and solution designs, providing guidance to ensure alignment with … Azure AI Search GitHub Enterprise CI/CD tooling and automated delivery pipelines Infrastructure as Code Platform observability and monitoring Identity and Access Management Model Context Protocol services Agentic architecture and engineering patterns Typical Candidate Background: Platform Engineer Cloud Platform Engineer DevOps Engineer Site Reliability Engineer Platform ...

Sr. Solutions Engineer for scale-up. The pattern is proven by AI-native companies — Anthropic, Palantir, OpenAI — and this role brings that model to GSK.This specific role sites in the Chemical Manufacturing & Control (CMC) area. This is the GSK function that turns a validated molecule into a reliably manufactured … team background is ideal. Strong hands-on experience with agent frameworks and multi-agent orchestration, tool use and Model Context Protocol (MCP), and agent evaluation and tracing. Experience automating scientific or technical workflows with agents: data pipelines from lab and process systems, code generation for analysis ...

agentic workflows. Line manage engineers, manage performance, support CPD, lead technical recruitment, and maintain workforce plans. Oversee delivery across AWS Bedrock, AI Gateways, model integration, observability, cost controls, and security. Partner with Architecture, Cyber Security, FinOps, and Operations to deliver secure, resilient live services. Key Skills & Experience Required: Proven … Cloudflare AI Gateway or custom AI proxy/gateway technologies. Experience building AI agents, tool-using systems, or Model Context Protocol (MCP) integrations. Experience with RAG, embeddings, vector search, or enterprise knowledge integration. Infrastructure automation using Terraform, Docker, Kubernetes/ECS, and CI/CD pipelines. ...

Generative AI workloads run on: the platform layer beneath LLMs, agents, and MLOps pipelines. This spans GPU-accelerated compute and container platforms, model serving and gateway infrastructure, evaluation and guardrail systems, and the MLOps/LLMOps tooling that takes a model from experiment to production. You’ll work … workload cost attribution • Agent orchestration and tool-calling frameworks (e.g. LangGraph or equivalent), including familiarity with the Model Context Protocol (MCP) • Evaluation engineering (golden datasets, regression gates in CI, LLM-judge calibration) • Guardrail and AI-observability tooling (e.g. NeMo Guardrails, OpenTelemetry GenAI conventions, LangSmith, Braintrust) MLOps & LLMOps ...

including LLMs, retrieval-augmented generation (RAG), autonomous and multi-agent systems, and modern interoperability standards such as the Model Context Protocol (MCP)—coupled with excellent communication skills to engage with clients and internal teams effectively. Your roleIn the role of Senior Consultant within Topaz Unit, you will … Experience in designing and scaling GenAI chatbots. Experience in Agentic AI solutions. Good knowledge of Agentic AI frameworks (LangGraph, AutoGen, CrewAI) and orchestration tooling (MCP Servers) in at least 1 Hyperscaler Good understanding of Responsible AI principles Ability to transform business problems into analytical solutions, fostering cross functional collaboration between ...

batch data processing pipelines across modern cloud lakehouse architectures (Delta Lake, streaming architectures, and unified governance layers). Systematic Evaluation & Benchmarking: Establish continuous model evaluation, reproducibility checks, tracing, and benchmarking frameworks (MLflow, LLM-as-a-judge, golden test suites) to ensure performance, safety, and auditability. Architecture & Backlog Leadership … data science, or production ML/AI environments. Agentic Frameworks: Proven delivery with LangGraph, AutoGen, CrewAI, smolagents, or Model Context Protocol (MCP) integrations. Lakehouse & Data Engineering: Strong background with enterprise Databricks environments (Delta Lake, Unity Catalog, Delta Live Tables/DLT, Spark Structured Streaming, or Autoloader). ...

batch data processing pipelines across modern cloud lakehouse architectures (Delta Lake, streaming architectures, and unified governance layers). Systematic Evaluation & Benchmarking: Establish continuous model evaluation, reproducibility checks, tracing, and benchmarking frameworks (MLflow, LLM-as-a-judge, golden test suites) to ensure performance, safety, and auditability. Architecture & Backlog Leadership … data science, or production ML/AI environments. Agentic Frameworks: Proven delivery with LangGraph, AutoGen, CrewAI, smolagents, or Model Context Protocol (MCP) integrations. Lakehouse & Data Engineering: Strong background with enterprise Databricks environments (Delta Lake, Unity Catalog, Delta Live Tables/DLT, Spark Structured Streaming, or Autoloader). ...

Software Engineering solutions to automate and enhance SDLC processes. Hands-on experience with Java-based AI frameworks such as Spring AI, LangChain4j, Semantic Kernel, MCP (Model Context Protocol), or similar technologies. Experience implementing RAG, prompt engineering, tool calling, workflow orchestration, and agent-based architectures. Experience applying ...

protocol requirements into clear technical specs before building. Leverage AI-assisted development workflows (e.g. Claude Code) and work with emerging paradigms like MCP (Model Context Protocol) and agent-based tooling. Collaborate and contribute to engineering cultureWork cross-functionally with protocol, product, and infrastructure teams. Mentor … Experience building blockchain indexers, data pipelines, dApps, or smart contracts (Solidity). Familiarity with AI-assisted development workflows: spec-driven development, code generation tools, MCP, or agent-based paradigms. Contributions to open-source projects. Experience with Rust. What We Offer: Competitive base salary and discretionary bonusHybrid/Flexible Working Arrangements ...

enabled automation Prompt engineering, AI evaluation and Responsible AI AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP) Data engineering, pipelines, modelling and governance Advanced analytics, machine learning and statistical modelling Data visualisation and insight solutions Candidates should understand the importance of trusted, accessible ...