151 to 175 of 194 Model Context Protocol Jobs in the UK

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 bind 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 ...

agent sessions, and review outcomes critically before they ship. Build and maintain the team’s agentic tooling: custom Claude Code skills and sub-agents, MCP tools exposing internal APIs, prompt/context conventions (CLAUDE.md), and automated review pipelines. Design the verification that makes agent speed safe: test strategy, quality … communication: design docs, specifications, PR descriptions, and commit history that both humans and agents can act on. Bonus points if you have Experience building MCP servers or exposing internal APIs as agent-callable tools. Experience with LLM evaluation: eval suites, behavioural test design, or benchmarking agent workflows. Functional programming ...

Integrate into: GenBI Playbook onboarding and rollout models Drive adoption of standards across AI CoE, business domains and federated teams 5. Automation & Tooling (e.g. MCP, Q-score) Set and agree minimum standards for controlled adoption of emerging tooling , including: MCP (integration/orchestration patterns) Q-score/quality frameworks semantic … Standard GenBI Release Model (in operation) Incident & service management model (embedded) Standards integrated into playbooks and onboarding Defined and piloted approach to MCP/automated quality tooling Success Criteria (End of 2026) All GenBI solutions follow consistent testing and release standards Audit requirements are fully addressed with evidence ...

quality code and can turn AI capability into real business impact. Key Responsibilities Responsibilities Design, build and maintain core AI platform components - LLM gateway, MCP connector layer, observability tooling, and privacy Proxy Develop and harden MCP connectors across data sources (M365, Salesforce, Moody's, internal systems) through PoC, pilot … building with LLM APIs (Anthropic, OpenAI or similar) in production environments Experience building AI Solutions is essential Experience with agentic frameworks, tool use, and MCP or equivalent connector patterns desirable Familiarity with observability and evaluation tooling for AI systems Understanding of data platforms - Databricks or similar - and how to expose ...

environments. What You’ll Be Doing Owning and evolving our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Designing internal AI tooling to accelerate delivery Leading advanced technical AI sessions within our upskilling programme Evaluating emerging AI tools, frameworks … prompt engineering, agent workflows, RAG systems) Experience shipping AI-powered features to production Proficiency in 2+ modern programming languages Familiarity with evolving AI tooling (MCP, A2A, Threads or similar) Consultancy or client-facing delivery experience Desirable: Vector databases, embeddings, fine-tuning Cloud experience (AWS preferred) Open-source contributions or visible ...

decision making across drug discovery, clinical development, and commercial operations. Design and productionise scalable GenAI solutions using approaches such as retrieval augmented generation (RAG), MCP-style integrations, and selectively applied agentic patterns, balancing capability, cost, performance, and trust to deliver measurable value from proof‐of‐concept through early adoption … enrichment, and hybrid architectures using vector stores alongside relational databases. Proven ability to deploy AI systems into production environments, with effective monitoring of model behaviour, data drift, cost, and latency, and the judgment to make pragmatic trade‐offs for reliability, scalability, and enterprise adoption. Establishing robust operational practices, including ...

engineering tooling responsibly to improve delivery productivity, including integrated agentic coding assistants, prompt engineering, code review support and, where appropriate, agentic workflow patterns and MCP‐based integrations. Mentor developers and improve team capability across C#/.NET, OpenShift, MongoDB, SQL, messaging, platform engineering and modern engineering practices. Ensure appropriate unit … service delivery capabilities. Knowledge and practical experience of AI‐enabled development tooling, integrated agentic coding assistants and prompt engineering; experience designing agentic workflows or MCP‐enabled integrations is desirable. Risk IT, Product Control IT, ESG IT, regulatory technology or financial‐services domain experience is desirable. #J-18808-Ljbffr ...

more critical architecture domains - such as agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, or model platforms and inference - serving as the lead authority in your domain across client engagements. You will develop and maintain specialized expertise in the technologies, patterns … decisions for AI platforms (e.g., Arize, LangSmith) and foundational models. Architect model- and tool-agnostic multi-agent systems governed by an MCP Control Plane. Design and implement the Agent Registry as the mandatory system of record and the AI Gateway for runtime policy enforcement. Design and implement a certification ...

Pleo's internal AI infrastructure team, the platform every customer-facing AI feature is built on. The team owns LLM serving (LiteLLM), the MCP gateway and tool registry, agentic runtime, evaluation tooling, and the observability layer that makes AI outputs trustworthy at scale. This is a technical engineering management role … delivery, quality, team development, and ways of working. Own the execution of the platform roadmap including but not limited to LLM gateway, agentic runtime, MCP layer, data retrieval, eval tooling, and the hybrid architecture transition. Manage the stakeholders relationship with Data & AI Products as the primary internal customer and ensure ...

Roku? At Roku, AI agents do most of the keystroke-level coding. Engineers act as the technical leads for those agents - setting context, planning work, verifying outputs, and recovering when the agent goes off course. If you are excited about working … this way, we want to talk to you. You 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 ...

hierarchical delegation). Experience in a post-sales or technical consulting delivery function. Experience enabling technical teams on Agentic AI. Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. About … yours. Responsibilities Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including ...

Rego, Cedar). Set high bar for authentication and authorization, data protection, least privilege, encryption, micro-segmentation, tagging strategy, integrations via API and MCP, and secure AI agentic design. Write and review scripts, and IaC (Python, Terraform, AWS CDK, CloudFormation, Rego). Lead exploratory POCs on emerging technologies. Define … tying applicable audit standards to AWS service features and functionality. The team works with AWS’s largest enterprise customers to operationalize the shared responsibility model as they migrate to the cloud. Basic Qualifications Knowledge of at least two of the following programming languages: Scala, Java, Python, C/C++ ...

agent actively probes and exploits standing permissions rather than stumbling onto them. That removes the “security through obscurity” cushion humans relied on. Familiarity with MCP as an integration/onboarding standard, and at least one agent harness (Claude Agent SDK preferred). Experience with just-in-time, task-scoped delegation … requiring a full Active Directory cleanup first. Define the currently undefined agentic runtime security model: containerised code execution, permission delegation to agents, and MCP-based tool access. Lead the transition from long-lived secrets toward ephemeral, time-based, risk-scored credentials, scoped to task duration and issued ...

traffic environments Build and deploy production AI Agents using raw and fine‐tuned foundational Large Language Models (LLMs), along with sub‐agents, tools, and MCP integrations Architect end‐to‐end ML pipelines, integrating data processing (e.g., Spark, Airflow) with model training, evaluation, and deployment workflows Drive experimentation frameworks, including …/B testing and offline evaluation, to continuously improve model performance and product outcomes Partner cross‐functionally with Product, Engineering, and Data leadership to translate business challenges into impactful ML solutions, collaborating with purpose and influencing at senior levels Mentor and elevate senior individual contributors, fostering a culture ...

Execution: Ensure on-time delivery of AI solutions that meet government-grade security, privacy, accessibility, and performance standards Coordinate technical work across multiple teams: model customisation, security hardening, integration with government systems, bilingual support Establish governance checkpoints appropriate for high-stakes government deployments Problem-solve complex technical challenges … Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped) Working knowledge of or experience with modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiator Comfortable discussing API integrations, model inference, data pipelines, and ML operations with ...

safely, with the right permissions, and in ways enterprises can trust. We ship for claude.ai, Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We’re also core contributors to the MCP spec … t. Key responsibilities Lead a team of engineers building the connectivity infrastructure that powers tool use across the company's product suite, from the MCP proxy to OAuth and token management Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high‐performing team Coach ...

existing and emerging product lines, including the Talent CRM and Workforce Suite, and provides data-as-a-service to customers through channels such as MCP/API as an emerging commercial channel. Its core capabilities span the data models, taxonomies and integrations that underpin talent and workforce decisions across … right. Beyond internal embedding and direct commercial sales, the platform is open — customers and partners can build on top of it through MCP and API access. You will work with product leadership to set the strategy, agree what the platform provides internally, decide what becomes customer-facing, and define ...

infrastructure to scale impact beyond individual partnerships. Responsibilities Serve as a deep technical partner to mission-driven organizations through advising on evals, agent architectures, context engineering, cost optimization, and more Provide hands-on support … partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development Develop public goods infrastructure that benefits entire ecosystems through benchmarks, MCP’s, and Agent Skills Identify challenges unique to social impact partners, and contribute findings and improvements back to product, engineering, and research Create technical presentations ...

facing engineering role – forward deployed engineering, technical consulting, or engineering advisory Experience with Claude Code enterprise deployment, AI agent integration into development workflows, or MCP server development External presence – writing, speaking, or community contribution in the software engineering or engineering leadership space Experience working alongside or within partner ecosystems such … Anthropic, Databricks, or AWS at a senior level Experience in a Palantir, Anthropic, DeepMind, or similar forward‐deployed engineering model #J-18808-Ljbffr ...

complex patterns (e.g., ReAct, self‐reflection, hierarchical delegation). Experience in a post‐sales or technical consulting delivery function. Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost‐per‐request) and techniques for optimizing state management and granular tracing. Ability to travel to regional stakeholders … needed. Responsibilities: Serve as a developer for complex AI applications, transitioning from rapid prototypes to production‐grade agentic workflows (e.g., multi‐agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between Google’s AI products and customer’s live infrastructure, including ...

takes Nice to Have Former technical founder or CTO – you have built products and teams under commercial pressure and client scrutiny Experience with MCP server development, tool ecosystem integration, and enterprise agent deployment patterns Experience working alongside or within partner ecosystems such as Anthropic, or AWS at a senior level … External presence – writing, speaking, or thought leadership in the AI Engineering space Experience in a Palantir, Anthropic, DeepMind, or similar forward-deployed engineering model #J-18808-Ljbffr ...

complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). Experience in a post-sales or technical consulting delivery function. Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. Ability to travel to regional stakeholders … yours. Responsibilities Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including ...

complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). Experience in a post-sales or technical consulting delivery function. Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. Ability to travel to regional stakeholders … yours. Responsibilities Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between the company’s AI products and customer's live infrastructure ...

complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). Experience in a post-sales or technical consulting delivery function. Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. About the job As a Forward … yours. Responsibilities Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including ...

J.P. Morgan is seeking an Applied AI ML Lead for the LLM Suite Engineering to design and deliver production-grade AI/ML and agentic solutions that integrate with existing systems. You will own technical ...