LLMday London Q2

Overview

LLMday London Q2 is a conference focused on Large Language Models, AI and machine learning, hosted at Everyman Canary Wharf in London, United Kingdom. The event takes place on May 28, 2026, and centers on the practical application, reliability, and governance of AI systems in production. The page highlights a live, in-person format with a busy schedule featuring multiple tracks, speakers, and sessions across the day. Attendees range from engineers and product people to researchers and security professionals who are exploring how LLMs, agents, and tools integrate into real world products and workflows.

Format and Venue

The event is an in-person conference held at Everyman Canary Wharf. The site provides an agenda with three parallel tracks and a variety of sessions including keynote talks, panels, and hands-on talks. A venue map and embedded Google Map indicate the Canary Wharf location, with accessibility details such as proximity to Tube lines (Canary Wharf station). The page emphasizes a conference atmosphere with scheduled talks, coffee breaks, lunch, and a sponsor crawl and networking opportunities. A Luma embedded ticketing widget is available for registration, and there is a CFP link for submitting talks.

Agenda and Tracks

The program features three tracks labeled screen 1, screen 2 and screen 3, with talks scheduled across the day from morning to late afternoon. Session topics include data systems design for AI, AI governance, AI safety and reliability, and real world deployment considerations. Notable talks include a keynote on Designing Data Systems That Keep Up with AI, given by Josh Lee of Altinity, exploring data architecture and reliability in AI-powered systems. Other sessions cover topics such as AI moderation at scale, context engineering for production ML, responsible AI in mental health applications, and production readiness for AI coaches. The table view and timeline view offer alternative ways to browse the schedule, with times such as 09:00, 09:30, 10:00, 11:00, 12:00, 13:00, 14:00, 15:00 and 16:30, and a closing wrap up around 17:00.

Speakers and Topics

The speakers span a wide range of roles, including ML engineers, data scientists, developers, researchers, and product leaders. Key participants include:

• Josh Lee (Altinity) presenting Designing Data Systems That Keep Up with AI
• Russell Miles (ClearBank) on Does AI Deliver Waterfall? The metaphors we live by and how they are changing with AI
• Kate Tertiienko (Infonetica) on When Engineers Stop Thinking: How to Make AI Serve Us, Not Replace Us
• Andrei Shcherbinin (Social Discovery Group) on Hybrid Rule+MLLLM Moderation at Scale
• Adefisayo Adejumo (Full Stack Engineer) on I Locked My Laptop. My Agent Never Did
• Arnaud Jean (AWS) on Create Your Own Role-Playing Game with Agentic AI using Strands Agents
• Additional talks cover topics such as production readiness, evals in production, and agent based systems.

Who Should Attend

The event targets engineers, architects, data scientists, product managers, security and risk professionals, and academics interested in productionizing LLMs, agent architectures, retrieval augmented generation, and ethics and governance around AI. It aims to deliver practical patterns for engineering teams, including patterns for authentication, authorization, and safe deployments of AI agents in real systems.

FAQ

The page provides actionable items such as tickets, CFP submission, and registration via embedded tools. Attendees can expect networking opportunities, lunch, a sponsor crawl, and a wrap-up session encouraging ongoing discussion beyond the sessions.

This description is a direct synthesis of the content visible on the event page and is provided in English. It reflects available details such as venue, date, track structure, notable talks and speakers, and the overall conference format.