1 to 25 of 63 MCP Jobs in the UK

real-time. Cutting-Edge Tech Stack: Experiment with the latest LLMs, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol (MCP) servers. Enterprise Scale: Build GenAI solutions across multiple business units while creating unified patterns and reusable component frameworks. Dynamic Culture: Work at the intersection of advanced … environment. We'll Count on You To Lead GenAI Development: Spearhead the creation of enterprise chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, and MCP implementations. Pioneer Innovation: Act as a hands-on engineer bridging the gap between research breakthroughs and production-ready capabilities to generate tangible business value. Build ...

Mosaic AI, MLflow 3.0, and Unity Catalog Designing multi-agent systems with LangGraph, CrewAI, AutoGen, Semantic Kernel, and Bedrock Agents Defining enterprise standards for MCP servers, A2A communication, and agent-to-system interoperability Owning Responsible AI guardrails aligned to NIST AI RMF, EU AI Act, and ISO/ ...

Engineering, Computer Science or equivalent; advanced degree preferred. Agentic AI/LLMs: LLM orchestration, prompt engineering, context-window management and production guardrails; MCP, tool-augmented agents and RAG at enterprise scale. Enterprise integration: Integrating AI into enterprise systems via APIs and data pipelines, with strong security, data governance and residency ...

ODCS), and practical experience implementing quality, schema, and SLA commitments in production. Familiarity with the machine interface layer: APIs (REST, GraphQL), AI agent frameworks, MCP, vectorization, and low-latency query patterns for AI consumption. Understanding of foundational governance capabilities: access security (Entra ID, Unity Catalog), data lineage tooling, CI/ ...

experience in industry A team player who shows initiative Desirable experience: Experience with LLM guardrails and PII-redaction Understanding of LLM tool development and MCP Knowledge of Speech-to-Text (STT) or Text-to-Speech (TTS) technologies Experience with WebSockets and streaming data Familiarity with Telephony/VoIP Other Skills ...

Applications - Finance, Procurement and HCM Modules Understanding of Oracle AI Services and Solutions Understanding of AI ecosystems, full technical stack - Prompt Engineering, Agentic AI, MCP Servers, API's, LLM usages, Headless applications Understanding of AI Governance approach and Data Security/Risks Analyse processes, identify and discuss potential ...

agents and agentic workflows using approved AI platforms Develop API-driven integrations across AI, Microsoft, and enterprise systems Configure and manage Model Context Protocol (MCP) server implementations Collaborate with business leaders to identify and deliver automation opportunities Manage AI solution delivery from intake through deployment and support Ensure governance, security … agents or agentic workflows in production environments Background in legal technology, professional services, or another compliance-sensitive environment Working knowledge of Model Context Protocol (MCP) server configuration and deployment Familiarity with ethical walls, conflict management systems, and matter-based security models Experience integrating large language model APIs and deploying enterprise ...

reached general availability within approximately six months from project start. Solutions may use a wide range of approaches, including agentic systems, model context protocol (MCP) servers, retrieval augmented generation (RAG), classical machine learning, knowledge graphs, data transformations, and business logic. The emphasis is on solving the right problem rather than ...

services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations. Collaborate with clients to understand requirements and translate them into working software. Contribute to technical research, prototyping, and proof-of-concept development to support … development. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor. Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, RAG architectures, or vector databases. Benefits Industry-leading training and development opportunities. Competitive salary with progression potential. 23-days holiday allowance, increasing with length ...

Demonstrated leadership working with engineers, data scientists, and ML practitioners. Experience in customising and optimizing Github Copilot using VSCode Extension or Model Context Protocol (MCP) Experience with AWS and infrastructure‐as‐code tools such as Terraform. Experience in multi‐agent orchestration. Familiarity with MLOps practices, including CI/ ...

Demonstrated leadership working with engineers, data scientists, and ML practitioners. Experience in customizing and optimizing GitHub Copilot using VSCode Extension or Model Context Protocol (MCP). Experience with AWS and infrastructure-as-code tools such as Terraform. Experience with multi-agent orchestration. Familiarity with MLOps practices, including CI/ ...

want to talk to you! Responsibilities Understand Agent Interoperability – Map and integrate external agents from hyperscalers (e.g., Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate. Enable Conversational & Background Agents – Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external … frameworks, sharing insights, and experimenting with cutting‐edge technologies. Preferred Qualifications Advanced Integration – Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A). Governance & Observability – Familiarity with prompt governance, observability, monitoring frameworks, responsible AI and compliance best practices. Cross‐Platform Background – Background in cross‐platform integrations ...

gates so developers can verify and correct agent output before it is merged. Integrate tools and data sources into the agents via MCP (Model Context Protocol). Set up evaluation, guardrails and tests to catch incorrect output early. Work alongside engineering team's and upskill them on agentic patterns ...

containerized workloads, and DynamoDB-backed distributed architectures. Optimize AI systems for latency, throughput, scalability, caching, context efficiency, and cost. Build APIs, integrations, MCP Servers, and reusable platform capabilities to connect AI systems with enterprise platforms, tools, and workflows. Establish evaluation, experimentation, regression, and observability frameworks to continuously improve AI system … evaluation and observability frameworks. Expertise in cloud-native architectures and container orchestration. Proven track record of cross-functional collaboration and leadership. Familiarity with MCP protocols and enterprise integration patterns. Advanced skills in optimizing AI systems for performance and cost. Demonstrated commitment to fostering an inclusive and innovative team culture. #J ...

enterprise data architecture underpinning Quantios Insights, our next-generation data platform that unifies data from all Quantios products and powers analytics, regulatory insights, MCP automation, and AI-driven capabilities. You will define the architectural standards, models, integration patterns, and governance frameworks that ensure the platform is reliable, scalable, secure … sets, and semantic enrichment layers. Collaborate with LLMOps Engineers to ensure high-quality, well-structured data flows into embeddings pipelines and retrieval systems. Support MCP-based data access patterns by designing structured data interfaces and schemas tailored for agent use. Define patterns for unstructured data processing and preparation ...

workflows, prompts, rules and orchestration logic aligned to governance and risk requirements. Utilise Mulesoft tool such as Agent Fabric,Vibes, AI Gateway (LLM/MCP/A2A) to integrate agents into existing flows, data models and processes. Agent Control, Monitoring & Governance Implement control, monitoring and observability for Salesforce agents, including … experience working with Salesforce, including customisation, integration and automation. Knowledge of existing and emerging MuleSoft technologies such as Agent Fabric, Vibes, Gateway (LLM/MCP/A2A). Experience designing or implementing agentic or AI-driven automation within Salesforce or similar platforms. Strong understanding of API security, authentication mechanisms ...

operations. Job Overview Key Responsibilities Help design and build internal AI-assisted developer tooling and engineering workflows. Contribute to AI development harnesses, orchestration tooling, MCP integrations, prompt/tooling standards, and agentic development workflows. Support rollout and adoption of AI engineering and related ecosystem tooling. Help measure and improve developer … engineering. Has decent experience with automation, APIs, scripting, CI/CD, developer tooling, or cloud platforms. Familiarity with prompt engineering, AI orchestration frameworks, MCP servers, or agentic workflows. Nice to Have Experience with developer productivity or DX metrics platforms. Exposure to platform engineering, internal developer platforms, Backstage, or self-service ...

technical projects. Compliance & Best Practices – Understanding of Cyber Essentials, PCI, ISO, and other security standards. Desirable Qualifications (or willingness to work towards): Microsoft Certifications (MCP, MCSA). Cisco Certifications (CCNA). Virtualisation Certifications (VMware/Hyper-V). Cloud Certifications (Azure/AWS). Firewall & Networking Certifications (Fortinet, Cisco, SonicWall ...

focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine‐tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms ...

from monolithic to microservice architectures Experience deploying or governing enterprise AI tooling (Claude Enterprise, Copilot, or similar), particularly around secure rollout, usage policies, and MCP integrations What We Offer Opportunity to shape and own the technical infrastructure Small, collaborative team environment where your expertise will have a direct impact Opportunity ...

Amazon Bedrock and SageMaker Claude/Anthropic Azure AI Foundry or Azure OpenAI Databricks Vector databases and RAG architectures Agentic AI orchestration frameworks and MCP servers Model and data lifecycle management Desirable Experience Experience working within public sector or regulated environments Experience with secure government delivery environments Experience contributing ...

made architecture decisions at meaningful scale, so has a profile that evidence of that kind of decision making. AI as core leverage - LangChain, LangGraph, MCP, Claude Code, spec-driven development, prompt versioning at production etc., rather than just using AI as a productivity tool. Whats on Offer Opportunity to shape ...

/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. using MCP to combine tools in interesting and effective ways) Qualifications Essential requirements Experience in managing and technically leading a software engineering team Soft-skills to interact with ...

Full UK driving licence and eligibility for nuclear-licensed site clearance Desirable Skills & Certifications ITIL Foundation SCCM knowledge Microsoft and CompTIA certifications (A+, Network+, MCP) Behaviours Service excellence mindset; structured and methodical approach Team-oriented; promotes collaboration and knowledge sharing Professional, positive, proactive, calm under pressure Politically aware, reliable ...

Experience building and deploying AI products into production environments Python and modern backend engineering experience Experience with LLMs, RAG architectures and agentic AI systems MCP or similar protocols for connecting AI systems with tools and external services Strong product thinking and commercial awareness Experience operating within high-growth, scale ...