526 to 550 of 724 Model Context Protocol Jobs in the UK

maintaining human-in-the-loop systems and AI monitoring/observability Strong fundamentals in AI/ML evaluation frameworks Experience building agentic systems including MCP, tool calling, memory systems, vector-based knowledge stores, guardrails In depth understanding of modern software design principles (e,g. microservices, event-driven architectures, domain driven … Management is a plus Key Responsibilities Develop and maintain Python-based AI applications Build and maintain document workflows using LLMs and classical NLP Debug model performance issues, handle edge cases, and optimize system reliability Write comprehensive tests and implement monitoring for AI/ML systems Example projects you might ...

scale their impact.We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent … management teams to create and implement new user experiencesAdapt proof-of-concept solutions into production-ready, scalable implementationsLeverage AI, machine learning, and large language model technologies to develop innovative platform featuresInvestigate, diagnose, and resolve technical issues to maintain commercially viable solutionsContribute to API design decisions, understanding considerations and trade ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive … create and implement new user experiences Adapt proof-of-concept solutions into production-ready, scalable implementations Leverage AI, machine learning, and large language model technologies to develop innovative platform features Investigate, diagnose, and resolve technical issues to maintain commercially viable solutions Contribute to API design decisions, understanding considerations ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive … create and implement new user experiences Adapt proof-of-concept solutions into production-ready, scalable implementations Leverage AI, machine learning, and large language model technologies to develop innovative platform features Investigate, diagnose, and resolve technical issues to maintain commercially viable solutionsContribute to API design decisions, understanding considerations and trade ...

real-time/streaming interfaces, or data visualization. FastAPI and Pydantic experience. DynamoDB or Postgres, SQLAlchemy. Exposure to LLM application development, agent frameworks, MCP, or building developer tools. Prior ops or on-call experience. Experience with distributed systems, async task processing, or observability tooling (tracing, metrics, logging). Our Offer … transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every ...

Engineer. The work spans the full stack of what engineering needs to do around a GenAI platform: solving problems natively, backend plumbing, API integrations, MCP server builds, and data connections.Working in our GenAI platform doesn't always mean writing code. Often it means applying engineering judgement to solve problems natively … help you develop along the way.Across both levels familiarity with Azure and Microsoft 365 is an advantage. Hands-on experience with LLM integration patterns, MCP tooling, and AI-enabled or agentic development environments is genuinely valued.AI and LLM experience - you're comfortable using GenAI tools such as Copilot, Claude ...

Engineer. The work spans the full stack of what engineering needs to do around a GenAI platform: solving problems natively, backend plumbing, API integrations, MCP server builds, and data connections.Working in our GenAI platform doesn't always mean writing code. Often it means applying engineering judgement to solve problems natively … help you develop along the way.Across both levels familiarity with Azure and Microsoft 365 is an advantage. Hands-on experience with LLM integration patterns, MCP tooling, and AI-enabled or agentic development environments is genuinely valued.AI and LLM experience - you're comfortable using GenAI tools such as Copilot, Claude ...

Engineer. The work spans the full stack of what engineering needs to do around a GenAI platform: solving problems natively, backend plumbing, API integrations, MCP server builds, and data connections.Working in our GenAI platform doesn't always mean writing code. Often it means applying engineering judgement to solve problems natively … help you develop along the way.Across both levels familiarity with Azure and Microsoft 365 is an advantage. Hands-on experience with LLM integration patterns, MCP tooling, and AI-enabled or agentic development environments is genuinely valued.AI and LLM experience - you're comfortable using GenAI tools such as Copilot, Claude ...

controls in place so AI outputs remain reliable and cost‐effective. Scale practical AI adoption Design and implement AI workflows as skills, models and MCP tools in OpenWebUI, with cost control, provider routing and observability built in. Partner with other departments to turn AI capabilities into everyday workflows, reusable tools … build durable institutional capability. Reliability, cost control, observability, instruction‐following, usability and adoption matter most. The team designs reusable workflows, skills, models and MCP tools that support Penta’s move towards an AI‐native advisory operating system. Keeping Penta at the forefront of practical AI in PR, communications and strategic ...

agents in the loop on every change. That's leverage, and it's a new attack surface: prompt injection against agent harnesses, untrusted MCP server outputs, IAM scope creep on agent-driven tooling, model and prompt supply chain. You'll own the security layer of our agent platform: sandbox … paths, KMS misuse, and the defences for each Incident response leadership end-to-end on a real incident (containment, eradication, forensics, write-up) Authoring MCP servers or custom agent tools with a security lens Product Security Engineer Job Description 3 Familiarity with AGENTS.md/CLAUDE.md patterns and skill authoring Cryptography ...

subject matter specialists across areas such as agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, and model platforms and inference providing the architectural vision, technical governance, and cross-domain coherence that binds their contributions into a unified, enterprise-ready system. You will …/IAP binding, and defense-in-depth enforcement Define the layered guardrail framework applied at every boundary, balancing protection with performance Govern the MCP control plane registry, gateway, and risk scoring across all internal and third-party servers Mandate adopt-over-build for productized evaluation and observability stacks Establish FinOps ...

have:Experience with “platform as a product” or developer experience work: interviewing users, caring about onboarding, measuring adoption.Experience maintaining AI skill files, agent instructions, MCP servers, or similar structured context for coding agents.Experience with Kubernetes-related developer tooling (Make, Kustomize, Helm) and with simplifying local workflows.Experience integrating software with ...

effectively. Задачи: Design, build, and operate core GenAI platform components, including an LLM routing gateway, vector search and RAG infrastructure, tool registry and MCP gateway, AI observability and evaluation tooling, and infrastructure for long-running agentic workflows; Own production-quality delivery of platform features from design through rollout, monitoring … asynchronous workflows, idempotency, consistency trade-offs, and designing for failure; Hands-on experience with LLM APIs or strong interest in learning about rate limits, context windows, multi-vendor routing, latency variance, and cost control; Security mindset for AI systems, including prompt injection risks, PII in logs, data leakage ...

testing, quality gates, and security and dependency hygiene. That now covers how we work with coding agents: the rules they follow, the skills and MCP integrations we build over our own systems, and the review process that holds quality as more code gets generated. You're the one who challenges … coding agents day to day and have a view on where they help and where they quietly cause damage. Experience writing skills, MCP integrations or agent conventions for a team is a strong plus. Security is instinctive for you. Secure-by-design services, authentication and authorisation done properly, tenant ...

solvedAutomate and streamline workflows across GitLab, Jira, CI/CD, Slack, and observability toolsDesign and operate internal AI services and orchestration layers (e.g. MCP servers)Own solutions end-to-end: discovery design build measure iterateWork hands-on with engineering teams to remove friction, enable usage, and move tools from delivery … native system design.Prior experience building developer tools, internal platforms, or DevEx toolingExperience evolving traditional tooling into AI-assisted or AI-driven workflowsFamiliarity with MCP, agent-based systems, or model orchestration conceptsExperience integrating AI with large codebases, monorepos, or complex CI/CD environmentsExposure to security, privacy, and trust considerations ...

development to improve speed and quality, and build the reusable pieces that let others do the same: Skills, slash commands, subagents, hooks, MCP integrations and per‐codebase agent guidance, tailored to each team’s stack and conventions. Apply the same tooling to the codebases you work in: raising test coverage … Experience extending those tools rather than just using them out of the box: authoring reusable agent extensions (Claude Code Skills, slash commands, subagents, hooks, MCP servers) and the project‐level guidance files (CLAUDE.md and equivalents) that make an agent effective in a specific codebase. Experience integrating LLMs or other models ...

automation Hands-on experience with Claude Code (or equivalent agentic CLI tooling — Cursor, Codex CLI, Cline, Aider): writing custom skills, building subagent systems, implementing MCP servers, and authoring AGENTS.md/CLAUDE.md context files Platform-as-a-product mindset: builds reusable assets with their consumers in mind, prioritises discoverability … infrastructure patterns that form the core of the central platform’s offering Develop Claude Code (or equivalent agentic CLI tooling) skills, subagents, and MCP servers that become the standard AI tooling distributed to all client teams Implement golden path templates — project scaffolding, pipeline configuration, security guardrails, AI-native workflow defaults ...

teams and SaaS platforms, with autonomy supported by a US-based CEO and GTM. You will conduct live product demos, speak credibly about APIs, MCP, and integration architecture. #J-18808-Ljbffr ...

Experience architecting the data layer behind AI or analytics products in production. Informed views on the trade‐offs between fine‐tuning, RAG, and long‐context approaches, and how each changes data architecture … requirements, including context window economics and prompt caching. Familiarity with infrastructure as code, CI/CD, and observability for data platforms. Awareness of MCP and tool‐orchestration concepts and their implications for composable, data‐driven AI systems. Fluent use of AI‐assisted development tools (e.g. Claude Code, Cursor), with ...

tool, built while the value case is made * Delivering client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) * Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony * Engineering for production from day one: guardrails, security … data engineering to build the whole thing yourself * Hands-on production LLM and agent experience: prompt engineering, agent workflows, RAG, tool orchestration and MCP - with evidence you've shipped AI users actually rely on, and how you proved it could be trusted * Evaluation-driven habits: golden datasets, eval frameworks, guardrails ...

experience with AI Development Life Cycle practices and methodology. Orchestration: Production, hands-on experience with an agentic framework such as LangGraph, plus familiarity with MCP-based tool orchestration. Exposure to AutoGen, LlamaIndex, or CrewAI is a plus. Production Python engineering: Clean, modular, testable, maintainable code — you care about system reliability … much as model output. Evaluation & observability: Practical experience instrumenting tracing (LangSmith, Arize) and building CI/CD pipelines built specifically for LLMs. Engineering foundations: Distributed systems, scalable data pipelines (Kafka, SQL), and cloud-native infrastructure. Cloud-native deployment: Deep familiarity with shipping agentic workloads into production environments, ideally leveraging ...

experience with AI Development Life Cycle practices and methodology. Orchestration : Production, hands-on experience with an agentic framework such as LangGraph, plus familiarity with MCP-based tool orchestration. Exposure to AutoGen, LlamaIndex, or CrewAI is a plus. Production Python engineering : Clean, modular, testable, maintainable code — you care about system reliability … much as model output. Evaluation & observability : Practical experience instrumenting tracing (LangSmith, Arize) and building CI/CD pipelines built specifically for LLMs. Engineering foundations : Distributed systems, scalable data pipelines (Kafka, SQL), and cloud-native infrastructure. Cloud-native deployment: Deep familiarity with shipping agentic workloads into production environments, ideally leveraging ...

training data.Agentic AI & LLM Guardrails: Design and deploy scalable guardrails, robust sandboxing, and real-time monitoring controls for our extensive LLM ecosystem, including ADK, MCP, and autonomous agentic workflows.Collaborative Security Engineering: Partner with ML researchers and platform engineers to design and implement robust security controls across the entire ML lifecycle … model inversion, data poisoning) and frameworks like OWASP Top 10 for LLMs or MITRE ATLAS.Agentic Frameworks Security: Proven experience securing agentic frameworks (ADK, MCP), agentic first infrastructure and implementing robust agent-to-agent (A2A) identity and access controls.Infrastructure Security: Solid proficiency in cloud platform security (GCP preferred), including container ...

experience with AI Development Life Cycle practices and methodology. Orchestration : Production, hands‐on experience with an agentic framework such as LangGraph, plus familiarity with MCP‐based tool orchestration. Exposure to AutoGen, LlamaIndex, or CrewAI is a plus. Production Python engineering : Clean, modular, testable, maintainable code — you care about system reliability … much as model output. Evaluation & observability : Practical experience instrumenting tracing (LangSmith, Arize) and building CI/CD pipelines built specifically for LLMs. Engineering foundations : Distributed systems, scalable data pipelines (Kafka, SQL), and cloud‐native infrastructure. Cloud‐native deployment: Deep familiarity with shipping agentic workloads into production environments, ideally leveraging ...

work directly with client engineers and stakeholders, as an AI specialist. What you will be doing Building and shipping LLM-backed agents: tool use, MCP servers, retrieval, orchestration between specialist agents, evaluation and guardrails Working across cloud model APIs and locally hosted models, and making sensible calls about which … have not done one, we will support you through it Background in financial services, market data or another regulated, data-heavy domain Experience with MCP server development Experience with time series or analytical databases (kdb+/KDB-X, ClickHouse, Oracle) Python, Java and TypeScript Experience deploying models on-premise ...