19 of 19 Remote/Hybrid Model Context Protocol Jobs in the UK excluding London

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 ...

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. ...

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 ...

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 ...

tooling including Application Insights, Azure Monitor and Log Analytics . Knowledge of emerging AI integration patterns such as Model Context Protocol (MCP) or AI Gateway capabilities. Microsoft certifications such as: Azure Solutions Architect Expert (AZ-305) Azure Developer Associate (AZ-204) Key technologies Azure APIM | Azure | REST ...

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 click apply for full job details ...

RBAC and Cost Controls. Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. · AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens. Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK. WHAT YOU'LL LOVE ...

document processing and retrieval-based solutions. Logic Apps, API Management, Service Bus and Key Vault. TypeScript, JavaScript or Python. Docker, infrastructure as code or Model Context Protocol. Salary & benefits £70,000–£75,000 salary. Four days working from home- one office Flexible working hours. Competitive pension scheme. Health ...

pipelines You have strong communication and collaboration skills, comfortable contributing to technical discussions, working closely with product teams and mentoring others Familiarity with MCP and modern AI tooling would be beneficial What's in it for you: Salary to £80k Personalised training budget Pension Healthcare including dental and optical Various ...

cloud-hosted applications, with App Insights for monitoring. Active use of AI coding assistants and experience integrating LLM APIs and building agentic workflows or MCP servers. Strong working knowledge of security principles including OWASP Top 10, GDPR, and ISO27001. Experience in a small team or full-stack ownership environment, comfortable ...

integration experience AI tools - Claude Code or GitHub Copilot Hands-on experience using OpenAI or Anthropic Highly desirable: Python AI tooling and evaluation scripts MCP server build experience Cyber Resilience Act and AI Act insight Undertake code reviews Knowledge sharing of AI best practice ...

estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language data interfaces. Financial crime, fraud or regulatory-reporting data. Power BI administration and semantic modelling. Why apply? This ...

Skills & Experience 4+ years in Product Management experience - in fast-paced and agile environments. Proven track record of shipping B2B SaaS or enterprise software; MCP and headless experience is a strong plus. Comfortable owning a technical product - able to hold your own with engineers on architecture, performance and trade ...

estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language data interfaces. Financial crime, fraud or regulatory-reporting data. Power BI administration and semantic modelling. The opportunity This ...

LLMs * Retrieval Augmented Generation (RAG) * Multi-Agent Systems * MLOps/LLMOps * LangGraph, LangChain, Semantic Kernel, CrewAI or AutoGen * OpenAI Agents, Microsoft Copilot Studio and MCP * Azure, AWS or GCP Education * 2:1 degree or above from a Russell Group university in Computer Science, Artificial Intelligence, Mathematics, Physics, Engineering … Engineering, Agentic AI, AI Agents, Generative AI, LLMs, Machine Learning, Data Science, Platform Engineering, LangGraph, LangChain, Semantic Kernel, CrewAI, OpenAI Agents, Microsoft Copilot Studio, MCP, MLOps, RAG, SaaS, Cambridge. ...

PyTorch; model servers such as AWS Bedrock; MLOps such as ML Flow or Sagemaker; agent/AI orchestration such as LangGraph or MCP libraries Strong programming skills, especially in Python (other languages like C++, Scala, Rust etc are bonuses). Practical experience implementing and deploying using various techniques including ...

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 ...

feedback to improve the Factory. • Work with partner and developer teams to enable appropriate external use of capabilities through secure APIs and tools, including MCP, where this supports the strategy. Own delivery and the economics of AI • Translate strategy into a prioritised roadmap with clear customer outcomes, milestones, dependencies … limitations. Additional experience that would be valuable • Building agent frameworks, workflow orchestration, AI evaluation or observability capabilities, or developer platforms for AI. • Working with MCP, secure tool access, agent interoperability or external developer and partner ecosystems. • Delivering products where sensitive data, financial accuracy, permissions and auditability are central to customer ...