1 to 25 of 124 Remote/Hybrid Model Context Protocol Jobs in the UK excluding London

whether that is an agent, a RAG pipeline, a document processing system, or something elseIntegrate foundation models (via API) into business applications and workflowsDevelop MCP (Model Context Protocol) servers and tool integrations where agent-based approaches are appropriateBuild RAG pipelines that surface accurate, attributed answers from internal … design• Experience building and shipping more than one type of AI system • Strong proficiency in Python and REST API development Software Engineering & Integration• MCP (Model Context Protocol) server development and tool routing • Building APIs and microservices to expose AI capabilities • Integrating AI systems with enterprise tools ...

incidents via telemetry-driven automation and blameless postmortems. Champion AI‐enabled operations using AWS Bedrock/SageMaker and Model Context Protocol (MCP) for log analysis, anomaly detection, incident triage, and workflow orchestration; establish adoption guardrails. Define and enforce cloud guardrails and security controls (SCPs/IAM boundaries … . Applying AI in CI/CD, observability, and incident response using AWS Bedrock/SageMaker and Model Context Protocol (MCP).Hands-on Agile delivery experience, actively participating in stand-ups and sprint ceremonies.Why Choose Fitch: Hybrid Work Environment: 2 to 3 days a week in office ...

incidents via telemetry-driven automation and blameless postmortems. Champion AI‐enabled operations using AWS Bedrock/SageMaker and Model Context Protocol (MCP) for log analysis, anomaly detection, incident triage, and workflow orchestration; establish adoption guardrails. Define and enforce cloud guardrails and security controls (SCPs/IAM boundaries … . Applying AI in CI/CD, observability, and incident response using AWS Bedrock/SageMaker and Model Context Protocol (MCP). Hands-on Agile delivery experience, actively participating in stand-ups and sprint ceremonies. Why Choose Fitch: Hybrid Work Environment: 2 to 3 days a week ...

tools, retrieval systems and configurations for production use. Integrate AI systems with enterprise APIs, databases, applications and data platforms. Develop reusable connectors, APIs and Model Context Protocol tools. Build automated CI/CD, testing, configuration management and deployment workflows. Implement authentication, access control, secrets management, security … with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform and CI/CD technologies. Experience with LangGraph, AutoGen, smolagents or similar frameworks. Experience with Model Context Protocol, model‐serving platforms, vector databases and LLM gateways. Experience implementing AI evaluation, observability, tracing and performance monitoring. Experience with ...

system that solves it. Architecture, implementation, evaluation, and production operation. You are responsible for the system working, not just for your code compiling. Design context and retrieval strategies. What goes into the context window and what stays out is the most consequential design decision in an AI system. … thinking or external contributions in AI engineering (talks, writing, open source) Experience with multi-agent coordination: task decomposition, handoff, shared state Practical experience with MCP (Model Context Protocol) or equivalent agent integration standards What We Are Not Looking For Pure ML researchers without production engineering experience. ...

potential impact and value for Cigna, advising senior leadership on AI strategy, feasibility and adoption paths.AI ArchitectureDefine architectural patterns and standards to support AI model lifecycle management, AI and data pipelines, feature engineering, and associated design artefacts.Architect and own enterprise-scale Generative AI platforms supporting multiple business use cases … LLMs), embeddings, prompt engineering - Retrieval-Augmented Generation (RAG), Knowledge bases and Multimodal embeddingsAgentic AI workflows and tool calling - Model Context Protocol (MCP) concepts and context managementKnowledge on foundational models and inference profiles, regional hosting and restrictions of various models and be able to identify the right ...

team's work spans the full surface of how Multiverse operates. You own the technical architecture of our agentic operating system: the agent orchestration, context strategy, tool integrations, evaluation framework, and production operation. Your design decisions shape what is possible for human and AI teams at Multiverse Ship production … Published thinking or external contributions in AI engineering (talks, writing, open source) Experience designing platform layers that other teams build on Practical experience with MCP (Model Context Protocol) or equivalent agent integration standards What We Are Not Looking For Pure ML research without production engineering experience. ...

agent platforms (e.g. Amazon Bedrock, Microsoft Agent Framework, Claude Agent SDK), or comparable tools, including standards such as Model Context Protocol (MCP) for connecting agents to tools and data. Experience with retrieval systems for agents: retrieval-augmented generation, embedding models, vector databases, and long-term memory. Experience … support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRocks hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting ...

into reliable, scalable systems that deliver measurable value in real-world commercial environments . You will work across agent orchestration, LLM and vision-language model integration, retrieval, multimodal data, evaluation and production infrastructure. You'll be expected to understand not only how to make an AI system work … including model performance, agent behaviour and drift. Agent orchestration and inter-agent communication protocols such as A2A. Model Context Protocol (MCP). Secure-by-design development principles, including ISO 27001, NIST or OWASP. Experience working with highly regulated, mission-critical or data-intensive organisations. Experience with ...

engineering role, not a configuration one. As Salesforce grows into a serious AI platform, you'll be building with Agentforce, Einstein, Prompt Builder, Model Builder, and Data Cloud to create agents and AI‐driven features that hold up under real workloads. The work varies a lot. … solutions for large‐scale environments supporting hundreds or thousands of Salesforce users. Nice to have: familiarity with the Model Context Protocol (MCP), vector search and embeddings, or Python for AI tooling. Consulting & Delivery Proven experience translating complex business requirements and user stories into scalable technical solutions. Experience ...

internal data sources. Develop reusable tools and services that AI agents can invoke for retrieval, investigation, analysis and workflow execution. Apply RAG/context retrieval where regulatory documents, historical knowledge or issue repositories need to be searched. Implement confidence scoring, validation, guardrails and traceability for AI-generated outcomes. Build … advantageous. Familiarity with regulations such as EMIR, MiFID II or SFTR is a plus. Nice to Have Model Context Protocol (MCP) and reusable agent tool interfaces. Knowledge Graph/Graph RAG or data-lineage concepts. Vector databases, hybrid search or re-ranking. AI observability and evaluation frameworks. ...

reshape how software is designed, built, tested and delivered. These roles will work across strategic product transformation, cloud and data platforms, enterprise AI services, context and knowledge engineering, quality, experience design and AI-enabled developer tooling. The Role We are looking for an AI Developer Tooling Lead … GitHub Enterprise administration (org policies, SAML/SCIM, Actions) AWS account management, IAM, cost allocation tagging Developer survey design (DX, SPACE framework) Familiarity with MCP (Model Context Protocol) architecture Microsoft 365 Copilot tenant administration Background in DevOps, platform engineering, or developer experience teams Please note this ...

APIs and concepts — including prompt engineering, RAG, function calling, agent frameworks, and tool use. Claude (Anthropic) experience is specifically valued. Working knowledge of MCP (Model Context Protocol) and equivalent integration frameworks — comfortable connecting AI capabilities to enterprise systems in a governed way. Experience with workflow automation … landscape. BENEFITS Competitive Base Salary Generous Holiday Package - 25 Days + 10 Public Holidays Private Medical, Dental & Vision Employee Wellness Program and Classes Flexible model of hybrid working #J-18808-Ljbffr ...

products with clear human oversight, measurable outcomes and safe rollback. Principal Accountabilities Design, build and operate the enterprise agentic platform, including orchestration, runtime services, model routing, memory, identity and policy enforcement. Develop reusable agent frameworks, SDKs and patterns that enable engineering teams to build secure, scalable AI agents consistently. … controls. Integrate agents securely with enterprise platforms, cloud services, APIs and knowledge sources using modern integration standards and Model Context Protocol (MCP). Build production-grade agent services using Python, cloud-native architectures, event-driven design, automation and Infrastructure as Code. Implement robust evaluation, observability and continuous ...

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 ...

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 ...

agentic AI concepts such as tool calling, planning, memory and workflow orchestration. Knowledge of reinforcement learning, preference optimisation or sequential decision‐making. Experience designing model evaluations and translating research ideas into reliable software. Desirable Experience Experience developing multi‐agent systems using LangGraph, AutoGen, smolagents or similar frameworks. Experience with … fine‐tuning, DPO, GRPO, PPO, RLHF or RLAIF. Experience designing reward functions, graders or agent training environments. Experience with Model Context Protocol and tool integration. Experience deploying open‐source language or vision‐language models, including distributed training or GPU computing. Experience applying AI to scientific, engineering, energy ...

adopted safely across engineering teams. Define practical engineering standards for AI-generated code, tests, documentation, technical designs and pull-request contributions. Establish prompt, context and specification standards that improve the quality and consistency of AIassisted engineering outputs. Design and develop bounded engineering agents for activities such as requirements analysis … where priorities can change in response to customer and operational needs. Strong written communication and the ability to collaborate asynchronously. Desirable Experience Experience implementing MCP servers or clients. Experience with agentic workflows or multi-agent systems. Experience designing AI evaluation or governance frameworks. Experience selecting models and tools based ...

front office, Credit Risk Business. The candidate will be a core member of the technology team responsible implementing projects based on Python, FastAPI, MCP, LLM, Java and using latest technologies. Excellent opportunity to immerse in and learn within the Wholesale Credit Risk Division and gain exposure to business and technology … teams to implement a business solution Investigate possible bug scenarios and production support issues Recent experience with modern Python Development using Large Language models, Model Context Protocol, & Retrieval Augmented Generation (RAG) architecture Experience developing application in Financial Services industry is preferred What we can offer youWe work ...

front office, Credit Risk Business. The candidate will be a core member of the technology team responsible implementing projects based on Python, FastAPI, MCP, LLM, Java and using latest technologies. Excellent opportunity to immerse in and learn within the Wholesale Credit Risk Division and gain exposure to business and technology … teams to implement a business solution Investigate possible bug scenarios and production support issues Recent experience with modern Python Development using Large Language models, Model Context Protocol, & Retrieval Augmented Generation (RAG) architecture Experience developing application in Financial Services industry is preferred What we can offer ...

fully defined spec.Engineering standards: Raise the quality of the team through code review, mentorship, and unblocking teammates. You will communicate clearly, share context, and help others grow while keeping delivery moving.Who You AreBeyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things … feature impact.Experience designing or running experiments, including A/B tests or betas, to validate product decisions.Experience with browser DOM inspection or automation.Familiarity with Model Context Protocol or building tools for LLM agents.Familiarity with real-time data pipelines or streaming architectures.Accessibility experience.Passion for continuous learning and sharing ...

fully defined spec. Engineering standards: Raise the quality of the team through code review, mentorship, and unblocking teammates. You will communicate clearly, share context, and help others grow while keeping delivery moving. Who You Are Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they … Mixpanel to measure feature impact. Experience designing or running experiments, including A/B tests or betas, to validate product decisions. Familiarity with Model Context Protocol or building tools for LLM agents. Familiarity with real-time data pipelines or streaming architectures. Accessibility experience. Passion for continuous learning ...

call rota for high impact incident response.Production AI runtime platforms:Build/deploy and operate the infrastructure for centrally hosted AI platform services, including MCP server infrastructure, model gateway services and supporting control-plane components.Design runtime patterns for isolation, scalability, secure execution, capacity management and cost-aware operation.Automate provisioning … production platforms, including identity, secrets, access control, network segmentation, vulnerability management and audit logging.Familiarity with AI platform concepts such as model routing, MCP servers, agentic workflows, RAG systems or LLM observability.Very strong automation and scripting skills, for example Terraform, Go, Python or similar.Experience with incident management, problem management, demand ...

rota for high impact incident response. Production AI runtime platforms: Build/deploy and operate the infrastructure for centrally hosted AI platform services, including MCP server infrastructure, model gateway services and supporting control-plane components. Design runtime patterns for isolation, scalability, secure execution, capacity management and cost-aware operation. … production platforms, including identity, secrets, access control, network segmentation, vulnerability management and audit logging. Familiarity with AI platform concepts such as model routing, MCP servers, agentic workflows, RAG systems or LLM observability. Very strong automation and scripting skills, for example Terraform, Go, Python or similar. Experience with incident management ...