Edition #2
The next Evals London is planned for February or March 2027. The shape of the evening depends on who signs up: one or two talks, maybe discussion tables, maybe not. Pitch whatever fits what you have to share.
Everything is in English. For reference, edition #1 (11 November 2026): a keynote from Samuel Colvin, then six discussion tables.
Who's in the room
Mostly engineers shipping LLM products, plus product people and researchers. Pitch it at people who build these systems day to day.
House rules
- Talk about systems you've worked on yourself.
- Share real numbers, including the embarrassing ones.
- No sales pitches, from the stage or at the tables.
Mention where you work and what you build, but keep the focus on what you learned: what broke in production and how you fixed it.
Topics we'd love to hear
As a talk or as a table.
Case study
How you evaluate a specific RAG system, agent or LLM feature in your product: the metrics, the pipeline, and the hardest problems you hit.
Tooling deep dive
Frameworks, internal tools or infrastructure for evaluating, testing, monitoring or logging AI systems, and how you wired them into CI/CD.
Research & experiments
Papers, internal reports or experiments with practical consequences for people building production systems.
Open problems
Where current tools fall short: evaluating without ground truth, measuring hallucinations, judging agent behaviour. You don't need the answer.
Want to take part?
Send a short note and we'll get back to you. You don't need to pick a format up front. Happy to talk an idea through before you commit.
Not sure your topic fits? Write anyway.
Where this comes from
Evals London is the sister meetup of Evals.cz in Prague, run by Šimon Podhajský and Veronika Pešková. Prague has held four editions since February 2026, and each one filled up with a waitlist.
Prague editions
- #1 3 Feb 2026 at Apify
- #2 15 Apr 2026 at Shoptet
- #3 17 Jun 2026 at Make
- #4 1 Oct 2026 at Truhlárna (Miton)
Watch edition #4
A joint evening with Miton AI Times: three talks, all on evals. Full recording on YouTube
- The Weird and Wonderful World of Cybersecurity Evals
- Evaluating Open Models on Your Task and in Your Language
- Generating Synthetic Evaluation Data for Search Agents