7 of 7 Permanent Model Context Protocol Jobs in the UK excluding London

inference pipelines using PyTorch, and related ML frameworks Source, curate, and prepare training datasets; implement preprocessing, augmentation, and validation workflows. Run structured experiments, evaluate model performance, and iterate based on measurable results Build, deploy, and operate end-to-end MLOps pipelines, including experiment tracking, model versioning, and production … deploy agent-based AI systems that can execute multi-step workflows and integrate with external tools. Build Model Context Protocol (MCP) servers to enable standardised integration between models, APIs, and data sources. Evaluate and integrate large language models into production systems where they add clear value. Collaborate ...

alerting, MS Teams integrations, and telemetry based improvements. Drive AI enabled operations using Bedrock/SageMaker and the Model Context Protocol (MCP) for log analysis, anomaly detection, and incident workflows. Define cloud guardrails and enforce security controls, including IAM boundaries, SCPs, OPA policies, tagging, centralized logging … Kubernetes, Docker, Linux, Windows, IIS, .NET, Java, Spring Boot, CI/CD, GitHub Actions, Bamboo, Python, PowerShell, Bash, Datadog, Observability, SLIs, SLOs, Bedrock, SageMaker, MCP, OPA, IAM, Cloud Security, Infrastructure Automation, AI enabled Operations, Container Security ...

Strong understanding of Machine Learning and Generative AI concepts, with practical experience using AI/ML tools and frameworks in application development. Familiarity with MCP, AI agents, and similar orchestration/control plane technologies used in AI-driven SaaS solutions. Experience integrating AI/ML capabilities into enterprise SaaS products ...

deep understanding of the e-commerce landscape and its underlying technologies. Knowledge of AI Agentic Infrastructure, including Agent Orchestration Layers and integration protocols like MCP and ACP. Familiarity with the cloud environment, DevOps tools and observability for monitoring and optimizing agent performance. An understanding of customer data, databases, and data ...

technically exceptional Lead AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. You will drive end-to-end innovation, from model selection and orchestration design to scalable backend implementation, all while collaborating with cross-functional teams to transform AI research into production-ready solutions. This … Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs along with MCP integrations Implement Retrieval-Augmented Generation (RAG) techniques leveraging vector databases (Pinecone/ChromaDB/Weaviate/pgvector/etc), search engines such as ElasticSearch/ ...

areas include: Agentic AI systems Energy systems flexibility Creative industries applications Emerging work across generative AI, reinforcement learning, neuro-symbolic AI, verifiable AI, and MCP-style architectures You will work closely with academic partners, industry collaborators, and funding bodies, translating cutting-edge research into usable systems, IP, and demonstrators. What ...

strangler fig) to deliver clean, modern APIs Ship improvements in fast cycles with measurable gains in performance and reliability Build AI-powered tooling, including MCP servers and AI-assisted CI/CD pipelines Demonstrate how AI transforms developer productivity and code quality What We're Looking For 6+ years' backend … experience (Java) Proven experience modernising production systems at scale Hands-on use of AI development tools (e.g. Claude Code, GitHub Copilot, LLMs) Experience with MCP, AI automation, or agentic AI systems Strong understanding of microservices and API design Java/Microservices/API design/LLMs/AI/Claude ...