101 to 125 of 264 Model Context Protocol Jobs in London

architects, AI/ML leads, and C-level executives to define Workiva’s role in their AI infrastructure, focusing on data governance, integration, and model orchestration. By positioning Workiva as the system of trust for machine-generated financial, sustainability, and risk data, you will ensure outputs are controlled, reviewed … combination of education and experience in a related field. Preferred Qualifications AI Architecture & Technical Depth: Hands-on expertise in modern AI (RAG, agentic systems, MCP, model selection/evaluation) and enterprise data architecture. Ability to write clean code for API interaction and perform technical testing for groundedness and quality. ...

Group in London is seeking a Senior ML Engineer to advance safe, scalable agentic AI capabilities across the enterprise. You will design and operate MCP-based platforms and collaborate with product teams to deliver reliable AI tooling. The role requires strong Python, expertise with LLM frameworks, FastAPI, and Kubernetes, plus ...

/risk/audit experience Deep knowledge of GenAI and Agentic AI security risks Experience with AWS, Azure and/or GCP Exposure to MCP, A2A, AI tool integrations and threat modelling are strong advantageous Strong technology risk/internal audit background Certification such as CCSP, CCSK, AWS, CISA, CISSP ...

Demonstrable AI engineering depth. You can show real systems where you made substantive decisions about agent harnesses, evals, hallucination containment, performance, agent sandboxing or MCP/tool design. Strong product engineering and technical judgment. You ship across interface, backend, data and deployment, reason from first principles and choose tools deliberately. ...

accelerate pipeline development, data analysis, and automation Skills & agents: Hands-on experience building AI skills and agents within the Amazon internal ecosystem (AIM, MCP integrations), or a strong desire to learn Amazon Q & Quick AI Features: Familiarity with surfacing data insights through AI-powered experiences and understanding how these tools ...

platform modernisation or reliability initiatives in scale‐up or regulated environments, Operator development, CRD automation, eBPF, Cilium, policy‐as‐code with OPA or Kyverno, MCP and A2A orchestration patterns, Agent Gateways and Registries, secure containers, sandboxing, confidential computing, Spark, Databricks, Data Mesh, Go, Python, TypeScript, open‐source or CNCF community ...

multi-tier software application development (Java, Python, JavaScript, C++, etc) Database technologies & ORM (Elastic, MySQL/MariaDB, SQL*Server, etc) Spec-driven software development & MCP use (Kiro, Claude, etc) Source-code control (Git & Git-based technologies e.g. GitOps) CI/CD platforms (GitLab, Jenkins) Configuration management & IaC frameworks (Terraform, Ansible ...

write. You go beyond prompt-and-paste. You’ve built or configured something (agentic workflows, automated triage or review, evaluation harnesses, custom tooling, MCP integrations) that made a repeatable part of engineering measurably faster or more reliable. You know where AI output cannot be trusted. A generated test that asserts ...

TypeScript) is a welcome plus, not a requirement. Enterprise Platform Fluency: You bring hands-on experience with the building blocks of modern enterprise APIs (MCP, CLIs, and OAuth) and know how to wield them to build secure, extensible integrations. Cross-Team Leadership: You have a track record of leading projects ...

others: Agentic AI & LLM Engineering: Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities … product stacks. Machine Learning Engineering: End-to-end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit-learn, PyTorch, XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI). Software Engineering: Production ...

others: Agentic AI & LLM Engineering: Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities … product stacks. Machine Learning Engineering: End-to-end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit-learn, PyTorch, XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI). Software Engineering: Production ...

layer connecting agentic systems to enterprise commerce stacks (OMS, PIM, DAM, CRM, payments, pricing, fulfilment) via API gateways, event buses, and emerging agentic protocols (MCP, A2A, ACP, UCP) Lead build vs. buy decisions across LLM platforms, orchestration frameworks, vector stores, and agentic workbenches; design multi-model routing strategies … Azure; CI/CD and cloud-native architecture Demonstrated leadership of complex, multi-region enterprise programs Nice to Have Experience with agentic commerce protocols: MCP, A2A, ACP (OpenAI), UCP (Google) Hyperscaler agentic platforms: Google Vertex AI/Agent Dev Kit, Azure AI Foundry, AWS Bedrock Agents GEO/AEO content ...

controls, or building multi-tenant platforms across brands and regions Experience shipping LLM-backed features to real users (retrieval, grounding and evaluation), or with MCP, agent frameworks or tool-calling in production Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within ...

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 ...

tasks (containers, cloud configuration) — at Encore, engineers regularly jump between the two Experience working with AI-assisted coding tools, such as Claude Code Skills, MCP servers and Routines. A product and commercial mindset: the ability to weigh technical work against business impact, prioritise ruthlessly, and know what ...

team and set the bar in design reviews and code reviews. Engage with the open source and agentic development community around sandboxing, MCP, and related ecosystems. Participate in on-call rotations and respond to critical stability issues affecting users. Document your work clearly and share knowledge with the rest ...

DeveloperHas breadth of experience across different tech-stacks, such as JavaScript/TypeScript, Java, C#, or Python, amongst othersExperienced in RAG Weaviate, OpenAI, Agents, MCP, Langchain, Prompt Engineering, Browser-Use, and DjangoExperienced building AI Tools, Agents and Agentic workflows (LangGraph, CrwAI)Hands-on Product building experience that cuts across … process Understanding of non-functional requirements and testing, with a focus on performance (but also accessibility, compatibility and aspects of security) Nice to have MCP, Django and nice-to-have Entra/GunicornGitHub Actions, GitLab pipelines, Azure DevOps pipelines, Jenkins (any experience on these will be beneficial)AWS experience Experience ...

real lifecycle work: intake triage, estimation, requirements, technical design, coding, testing, release, and operations. Engineer the scaffolding that makes agents dependable tool use via MCP, agent-to-agent handoffs (A2A), event-driven orchestration, and deep Jira and enterprise system integration. Build on Equinix's enterprise AI platform AI gateway, orchestration … when to demand human review, and the communication skills to explain that reasoning. Preferred Qualifications Experience with agent frameworks and protocols such as MCP, A2A, Anthropic or OpenAI APIs, Bedrock, Vertex, orLangGraph. Experience building developer platforms, orchestration systems, or SDLC tooling, including Jira, GitHub, or ServiceNow integration. Knowledge-engineering experience ...

with a client in a high-traffic, heavily regulated consumer sector. You'll own how the platform runs. That means the Kubernetes infrastructure behind model serving, agent orchestration and batch inference. It means the CI/CD pipelines that ship models, agents, tools and prompt changes. It means … operations: Experience operating model serving, LLM inference or MLOps pipelines in production is a strong plus. Familiarity with model APIs, vector databases, MCP or orchestration frameworks helps. Networking and security: VPC design, service mesh and zero‐trust patterns. Domain & Sector Experience Regulated industries: Experience running platforms under strict ...

Shipping features end-to-end across Rebel, used daily by real teams Making autonomous product and technical decisions Working directly with LLMs, agents, and MCP integrations Contributing to our open-screen ecosystem Helping shape engineering standards and culture as the team grows Mentoring and setting the bar for quality About ...

relationships and communicate technical recommendations, risks and progress to stakeholders. Drive the adoption of GenAI within Quality Engineering, including tools such as Playwright with MCP, GitHub Copilot and Claude. Contribute to internal QE communities, standards and best practices. What were looking for Strong hands-on experience in Quality Engineering ...

relationships and communicate technical recommendations, risks and progress to stakeholders. Drive the adoption of GenAI within Quality Engineering, including tools such as Playwright with MCP, GitHub Copilot and Claude. Contribute to internal QE communities, standards and best practices. What were looking for Strong hands-on experience in Quality Engineering ...

years in a leadership capacity. Deep understanding of global Funds markets with a deep understanding of Funds data landscape Strong grasp of data science, MCP AI, and agentic automation concepts and how they transform financial data workflows. Proven track record of defining and executing innovative product strategies that deliver measurable ...

visibility intelligence to win every moment of discovery - across AI and traditional search. the company's API-first architecture connects structured data to APIs, MCP servers, and generative interfaces, so partners and developers can build purpose-built experiences on the same infrastructure powering the company's own products. Thousands ...

React: the agents people talk to and the apps they click through, built in TypeScript. And you don't stop there. From API and MCP design to infrastructure on Vercel, AWS, Supabase, and BigQuery, plus the agents that work across the stack, you own complete features end to end, including ...