MLOps London Signal Night: Agents in Production

You do not need to be deep in MLOps to attend.

If you are a founder building with AI, a recruiter trying to understand what good AI engineering talent looks like, a fractional CTO/advisor, or a newer builder wondering what happens after a demo works, this event is about the real-world jump from prototype to something people can rely on.

MLOps London is moving into its next chapter.

The group has a strong history of practical talks and production-focused conversations. This first event under the new cadence is deliberately simple: a signal night for introductions, production-AI pain points, hiring/fractional CTO needs, and topics people want the community to cover next.

The theme for the next few months is production AI:

• agent systems after the demo
• observability and evaluation
• deployment and rollback
• governance and ownership
• what teams are learning the hard way

No slides. No formal talks. No vendor pitches.

The lightweight format:

• builders mark what they know: agents, evals, observability, infra, deployment, governance, cost, rollback
• founders/recruiters mark what they need: fractional CTO input, hiring signal, architecture review, speaker/topic suggestions
• everyone leaves with a Production AI Bench Card: one useful intro target, one topic/failure mode for the June talk night, and one clear ask or offer

Ram will give a short welcome around 7pm and outline the plan for the June talk night: "AI Agents in Production: What Actually Breaks After the Demo."

Come if you build, deploy, evaluate, operate, hire for, advise on, or lead production AI systems.

Free to attend. Please RSVP with enough detail for us to understand who is in the room.

You should leave with a clearer sense of what breaks first when AI meets real users, what skills matter, what questions founders and recruiters should ask, and who in the room can help.