26 to 50 of 66 Model Context Protocol Jobs in the UK

Drive the ongoing transition from monolithic to distributed architecture. Design and implement architecture to be agentic ready, enabling rapid deployment of AI products and MCP server integrations. Own technical decisions balancing immediate business needs with long‐term architectural goals. Hands‐On Development Write production‐quality Python code for critical platform ...

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 ...

Kubernetes, Docker, Linux, Kafka, RabbitMQ, or git. Using AI coding assistants to accelerate development while owning the outcome. Exposure to agentic frameworks or MCP server development. Knowledge of financial concepts, exchange trading, or physical energy trading. #J-18808-Ljbffr ...

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 ...

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 ...

practices DevOps (CI/CD, Pipelines, Infrastructure-as-Code) Experience managing a team of developers Exposure to Agentic AI patterns (tool use, orchestration frameworks, MCP, or similar) Familiarity with modern UI frameworks and tooling (React, React Native, npm) Experience working with Azure DevOps build and release pipelines Core Values ...

practices DevOps (CI/CD, Pipelines, Infrastructure-as-Code) Experience managing a team of developers Exposure to Agentic AI patterns (tool use, orchestration frameworks, MCP, or similar) Familiarity with modern UI frameworks and tooling (React, React Native, npm) Experience working with Azure DevOps build and release pipelines Core Values ...

shipped recently Cut ~$50k/year off our Elasticsearch bill by migrating compute to more efficient chips. (Apr 2026) Built the foundation for our MCP server platform : leveraging and contributing to open-source tooling to give the whole company extensible, production-grade AI integrations. (2025–2026) Rebuilt production from scratch ...

Working knowledge of SQL, HTML, CSS, and JavaScript. Using AI coding assistants to accelerate development while owning the outcome. Exposure to agentic frameworks or MCP server development. Knowledge of financial concepts, exchange trading, or physical energy trading. For more information about DRW's processing activities ...

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 ...

augment your end-to-end design and development process. Expertise with modern AI technologies and ability to apply them to design problems (e.g., MCP, Claude Code, Codex, Skills). Experience shipping production-ready experiences and influencing technical and design choices across teams. Strong understanding of user-centered design principles ...

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 ...

will fundamentally change how their Application Security is Delivered within the SDLC. Early Phases of the Programme have already defined the Target Architecture, Threat Model & Prompt Engineering Strategy . The Next Stage is to Transform this Foundation into a Production - Grade Capability Used Daily by Engineering Teams , enabling Developers … Engineering Solutions Ideally Experience would include: Delivered AI/Agent Platforms or AppSec Automation Solutions at Scale Familiarity with: Anthropic Claude/Claude Code MCP or similar Agent/Tool Orchestration Frameworks Experience with AI Security Tooling or AISPM Platforms Exposure to Financial Services Regulatory Environments (eg DORA, FCA/ ...

product requirements, and to provide early, high‐level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships … 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 ...

LLMs. Skills Development for LLM Models - Understanding of selected LLM technologies and the ability to create and maintain the supporting skills files and MCP servers required. Understanding of Linux - Good working knowledge of Linux, with Docker experience an advantage due to toolchain dependencies. Prompt Design and Context Engineering - Strong … skills in designing prompts and engineering the right context to optimise LLM outputs. Evaluation and Testing - Experience creating test cases and test harnesses for LLM solutions to enable repeatable outcomes where possible. Architectural Guidance - Capability to challenge designs, guide architecture decisions, and drive innovative solutions. Model Management, Outcome ...

process at varying customer scales, and expertise in associated migration utilities, and hybrid SaaS and on-premise deployment models Experience with Rovo, Agentic AI, MCP, and/or other AI integrations You're fluent in English. Due to a strong customer presence in the DACH region, professional-level German communication ...

intelligent document management system with additional AI‐powered features with intuitive human‐centred UX Integrate the firmwide AI Assistant with internal data sources using MCP attributes Engineering mindset focused on delivering practical solutions that solve real business problems Self‐directed and comfortable working autonomously with minimal supervision Pragmatic approach … intelligent document management system with additional AI‐powered features with intuitive human‐centred UX Integrate our firmwide AI Assistant with internal data sources using MCP attributes Key Relationships You will work closely with the Digital Transformation Team to understand business requirements and roll out production‐grade applications to solve them. ...

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 ...

zero. Based in Oxford, you will work in a dynamic and growing engineering organisation that builds cloud‐based software to track and model power grids around the world. As a Senior Software Engineer on the AI team you will build systems where LLMs autonomously plan, and call tools … infrastructure Desirable attributes: Hands‐on experience building LLM‐based systems Experience testing non‐deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary‐Exchange Pension Employee Assistance Programme ...

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 ...

develop AI‐related features such as: Intelligent search/retrieval experiences and RAG Summarisation and document comprehension at scale Context management AI agents, MCP servers, and best‐practice configuration of, for example, AGENTS.md Advanced use of tools such as Claude Code and Codex Assistants and copilots embedded into workflows ...

multi-agent system on AWS, orchestrating multiple AI providers across signal generation, content, and research workflows, and is exposed to clients through their own MCP server. What We're Looking For We are seeking an AI Engineer to help shape the technical direction of the AI platform. You will design … execution loop, tool dispatch, context management, sub-agent spawning, and sandboxing Design agent memory, context management, and tool-calling patterns Extend the MCP server with new tools and capabilities Enforce structured outputs and validation across LLM boundaries 2. LLM Quality, Evals & Observability Build the layer that lets ...

multi-agent system on AWS, orchestrating multiple AI providers across signal generation, content, and research workflows, and is exposed to clients through their own MCP server. What We're Looking For We are seeking an AI Engineer to help shape the technical direction of the AI platform. You will design … execution loop, tool dispatch, context management, sub-agent spawning, and sandboxing Design agent memory, context management, and tool-calling patterns Extend the MCP server with new tools and capabilities Enforce structured outputs and validation across LLM boundaries 2. LLM Quality, Evals & Observability Build the layer that lets ...

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 … 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 ...

layer — evaluation frameworks, reviewer loops, control-plane behavior, orchestration, and tool integration — that applications and MCPs wrap around. Design opinionated harnesses that expose through MCP or similar integration patterns without overfitting to one vendor or one moment in the tooling market. Must-have Bachelor's degree in computer science, engineering … experiment frameworks for AI/machine learning/agentic workflows. Nice-to-have Experience with tool-using systems, retrieval, evaluation pipelines, agent orchestration, or MCP-style integrations. Experience building expert-facing interfaces, workflow products, or technical demos for real users. Experience packaging desktop applications or supporting Windows-heavy enterprise environments. ...