151 to 175 of 723 Model Context Protocol Jobs in the UK

Required Skills Kotlin TLS DNS unit testing AWS MCP AI Java TypeScript CDK AWS CDK Networking CI/CD Job Summary Backend Software Engineer – AWS CDK & Edge Platforms Location: London (Hybrid) Pay Rate: £400/day Inside IR35 Duration: 12 Months The Opportunity Looking to work on high-scale distributed … Doing Developing resilient backend microservices using AWS-native services. Building out integration points for AI tools via Model Context Protocol (MCP) frameworks. Improving system performance, automated failovers, and low-latency client routing. Collaborating within an established engineering team to maintain operational standards. What We Are Looking ...

Solutions Consulting team and own a new, post-sales discipline at Meltwater: helping our most sophisticated customers get real, measurable value out of our MCP solutions once they're live. This is not a support role and it's not a sales role. It's the connective tissue between what … customers will expect you to be ahead of them.What You'll Do:Partner with customers from implementation onward to design how they'll use MCP and LLM platforms to work with Meltwater data, setting the technical and workflow foundation early so adoption sticksHelp customers build skills, agents, and repeatable workflows ...

Solutions Consulting team and own a new, post-sales discipline at Meltwater: helping our most sophisticated customers get real, measurable value out of our MCP solutions once they're live. This is not a support role and it's not a sales role. It's the connective tissue between what … will expect you to be ahead of them. What You’ll Do: Partner with customers from implementation onward to design how they'll use MCP and LLM platforms to work with Meltwater data, setting the technical and workflow foundation early so adoption sticks Help customers build skills, agents, and repeatable ...

strong emphasis on maintainability, consistency, and developer experience. Hands-on experience designing and integrating AI-powered applications using Model Context Protocol (MCP) servers, LLM APIs, agent workflows, tool orchestration, Desirable Skills/Experience Strong understanding of design token architecture, token governance, and cross-platform token management using ...

intelligence workflows. 3. Shape the Future of AI‐Driven Intelligence (Longer Term) You will: Prototype and test Model Context Protocol (MCP) servers enabling Natural Language Querying (NLQ) and Natural Language Generation (NLG). Support experimentation with NLP and LLM‐driven enrichment alongside analysts and researchers. This … world‐class intelligence data environment, including: A fully operational graph‐based data pipeline handling heterogeneous sources A scalable knowledge graph schema and entity‐relationship model A robust lineage and governance framework A future‐focused roadmap for team and capability growth Key Skills and Experience Strong hands‐on experience with ...

live at scale in enterprise with room to grow. Malcolm is in production with Aviva for Home and Life insurance, operating through MCP (Model Context Protocol) and 1st party chat experiences. We have a small engineering team, a clear technical roadmap, and a founder who has deep … differentiation.Grow and lead the engineering team (currently 1-3 engineers), hiring deliberately as the roadmap demands.Work directly with insurer partners on integrations - the commercial context matters here and you’ll be in those conversations.Be a genuine co-founder partner to the CEO: product strategy, commercial decisions, fundraising narrative.WHO ...

approval 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 ...

approval 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 ...

with healthy scepticism around reliability, privacy, security and hypeNice to HaveExperience in one or more of the following areas would be particularly useful:Building MCP servers, MCP clients, tool registries or secure agent-accessible APIsSlack, Microsoft Graph, SharePoint, OneDrive, Outlook, Teams, Google Workspace, Jira, Snowflake, Figma or similar workplace … appropriate retrieval or indexing infrastructureInfrastructure: AWS, Kubernetes, DockerIntegrations: Slack, Microsoft Graph, SharePoint, OneDrive and other business-system APIsAgentic capabilities: LLM APIs, typed tool interfaces, MCP and workflow or agent SDKs selected according to the problemOperations: Structured logging, tracing, evaluation, audit history and production monitoringWe expect the team to make deliberate ...

frontier foundation models. You will be a valued member of the AI & Digital Engineering team and work collaboratively with architects, engineers, hyperscaler and frontier model partners, and clients. This is a hybrid technical-leadership role: you'll architect solutions that push what frontier models — large language models, multi-modal … orchestration, prompt and context management, retrieval pipelines, vector stores, agent frameworks, and tool/context integration (including emerging protocols such as MCP) Define and enforce responsible AI, governance, and assurance frameworks — covering bias, safety, data privacy, and model risk — aligned to client and regulatory requirements (including ...

scepticism around reliability, privacy, security and hype Nice to Have Experience in one or more of the following areas would be particularly useful: Building MCP servers, MCP clients, tool registries or secure agent-accessible APIs Slack, Microsoft Graph, SharePoint, OneDrive, Outlook, Teams, Google Workspace, Jira, Snowflake, Figma or similar workplace … appropriate retrieval or indexing infrastructure Integrations: Slack, Microsoft Graph, SharePoint, OneDrive and other business-system APIs Agentic capabilities: LLM APIs, typed tool interfaces, MCP and workflow or agent SDKs selected according to the problem Operations: Structured logging, tracing, evaluation, audit history and production monitoring We expect the team to make ...

orchestration, prompt and context management, retrieval pipelines, vector stores, agent frameworks, and tool/context integration (including emerging protocols such as MCP) Define and enforce responsible AI, governance, and assurance frameworks - covering bias, safety, data privacy, and model risk - aligned to client and regulatory requirements Lead … team of AI engineers and architects, building technical capability and clear career pathways within the practice Own technical relationships with hyperscaler and frontier model partners (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI) to stay ahead of platform capability Drive reusable accelerators, frameworks, and IP that ...

goal-driven decision architectures.A strong understanding of Generative AI, large language models and agent-based system design, including reasoning, planning, memory, tool use, model selection and routing.Experience designing autonomous solutions with suitable guardrails, controls, human oversight and escalation paths.Strong expertise in Microsoft Power Platform, including Power Automate, Power Apps … Copilot Studio.Experience with Microsoft Foundry, including Foundry Models and Foundry Agents Service.An understanding of agent integration and extensibility standards such as Model Context Protocol and Agent-to-Agent.Experience owning complex technical problems through design, implementation, deployment, operational support, incident resolution and continuous improvement.The ability to work autonomously ...

machine learning to real business problems, ideally including agentic or LLM-based systems. Strong grasp of modern platforms: cataloguing and metadata, semantic and context layers, and data quality across structured and unstructured data. A track record of influencing senior business and technology stakeholders and translating between them. Systems … enterprise environment. Experience with vector databases (for example pgvector, Pinecone, Weaviate, or Chroma) and agent or orchestration frameworks (for example LangChain, LlamaIndex, or the Model Context Protocol). Experience with MLOps/LLMOps tooling such as experiment tracking, model versioning, monitoring, evaluation/observability platforms ...

enterprise environment. Experience with vector databases (for example pgvector, Pinecone, Weaviate, or Chroma) and agent or orchestration frameworks (for example LangChain, LlamaIndex, or the Model Context Protocol). Experience with MLOps/LLMOps tooling such as experiment tracking, model versioning, monitoring, evaluation/observability platforms … pushing back on scope, proposing better alternatives, and protecting quality and team capacity when it counts. You stay current as the tooling and model landscape shifts, and you help the people around you do the same. “I can apply in less than 4 minutes.” You’ve reviewed this ...

This role is responsible for defining how we collect, structure, analyse and act on AI-specific telemetry signals—including prompt patterns, model performance, MCP call usage, latency, error conditions, cost metrics, user behaviour signals, and system reliability. You will develop a telemetry foundation that supports: AI governance & risk model … ensure instrumentation is consistent, scalable and compliant. Signal Design & Data Architecture Identify key signals required for: Quality & reliability Latency & throughput Cost tracking & optimisation MCP usage patterns User workflow insights Failure pattern detection Guardrail and safety event monitoring Define retention rules, PII considerations, anonymisation and usage policies in partnership with ...

technology investment decisionsAct as the single point of accountability for post-sales technical strategy and architectural decisions for flagship accountsAI, Agentic Automation & Enterprise MCP StrategyShape and guide customers’ AI and agentic automation journeys, leveraging Workato’s AI capabilities and ecosystemAdvise on the design and adoption of agent-based workflows, human … loop models, and decision automationPartner with customer executives to define enterprise MCP (Model Context Platform/orchestration) strategies, including:Context management across applications, data, and workflowsSecure orchestration of AI agents and automationsGovernance, observability, and lifecycle management for AI-driven systemsAlign AI and agentic initiatives with enterprise security ...

with agentic frameworks (e.g., LangChain, LlamaIndex)Experience in deep learning frameworks and front-end developmentFamiliarity with Langfuse, Langsmith, or other LLM observability toolsUnderstanding of Model Context Protocol and bias/hallucination mitigation techniquesPrevious success in integrating GenAI solutions into enterprise-scale systemsWhy Join CapcoDeliver high-impact technology ...

ready to), and you bring clarity and momentum to a team. NICE TO HAVE Agentic systems — experience building and running agents in production. MCP ecosystems — familiarity with Model Context Protocol tooling. Frontend design systems — component libraries and design systems at scale. Financial products/trading/ ...

coding assistants such as ChatGPT, Claude, Gemini, GitHub Copilot or Codex. Awareness of agentic engineering approaches, AI-assisted workflows and tools such as Model Context Protocol would be advantageous. Experience working with AWS, managed databases and DevOps practices, including Git, GitHub, code review, CI/CD, deployment ...

task unsupervised. A private repository or a work project you can describe in detail counts. You are fluent with tool calling, structured output, the Model Context Protocol, and at least one agent framework or SDK (LangGraph, CrewAI, the OpenAI or Claude Agent SDKs, PydanticAI, or a hand ...

embedding AI-augmented development workflows across the team, driving measurable gains in velocity, quality, and innovationLeverage AI coding assistants (Windsurf, Claude Code) and Model Context Protocols (MCPs) to accelerate software delivery, automate repetitive tasks, and elevate engineering standardsDesign, build, and deploy intelligent, scalable solutions that integrate machine learning … driven engineering practices, fostering a culture of continuous learning and experimentationPartner with Architecture and Data Science teams to define best practices for ML model deployment, data pipeline design, and cloud infrastructure standardsConduct thorough code reviews with a focus on AI-assisted quality, providing constructive feedback to enhance code quality ...

CLIP and CLAP) across diverse, real-time sensor streams. To succeed, you must possess strong architectural intuition, deeply understanding the technical compromises inherent in model selection and able to identify the optimal agentic design pattern for specific tasks Your responsibilities will include: Building core agentic product features; researching, planning … foundations of core ML algorithms, paired with hands‐on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration ecosystems (LangGraph, Google ADK), and Model Context Protocol tooling (RustMCP) Strong written and verbal communication skills to document your work effectively and present it to relevant stakeholders ...

driven enterprise projects and Model Context Protocol integration. You will develop automated testing frameworks, evaluation pipelines, and quality controls for MCP components within our AI platform. You will work in a Classic Agile environment to guarantee reliability, accuracy, and performance of agent-driven workflows in enterprise-scale ...

surface an agent is permitted to touch alongside what needs a human to sign it off, and giving scientists a way to describe a protocol and watch it run. A recurring theme is closing the loop, since assuming a command was obeyed is rarely good enough. Depending … Design data models and pipelines for experimental data, sample tracking, and provenance, so that results are traceable from raw instrument output back to the protocol and physical sample that produced them. Work directly with scientists to understand manual protocols, then translate them into automated workflows, iterating as the biologyand ...