Thursday, November 5, 2026
8:30 AM – 3:00 PM EST
MLOps North: Building Agents
About this event
TMLS runs a two-day practitioner conference at RBC WaterPark Place on shipping AI agents: 35+ peer-reviewed sessions across 10 tracks on agent frameworks, infrastructure and production deployment.
The Toronto Machine Learning Society runs MLOps North across two days at RBC WaterPark Place, and it is the most substantial technical AI conference on Toronto's autumn calendar.
The programme spans more than ten peer-curated tracks and 35+ sessions, all centred on agents in production: framework selection, the infrastructure underneath them, evaluation, and what breaks at deployment. TMLS is explicit that this is not an introductory event. Sessions are peer-reviewed talks from engineers describing systems they actually run, with speakers drawn from Cohere, RBC, Shopify, Wealthsimple and Vector Institute.
Both days run from 8:30 AM, with the Day 1 keynote at 9:15 AM and Day 2 at 9:00 AM, wrapping around 3:00 PM. Early bird pricing is CA$349 until September 1, then CA$399 standard, with team and student rates available. Aimed at ML and software engineers, solution architects and technical decision-makers.
Organized by
TMLS is one of the largest applied machine learning communities in Canada, running the annual Toronto Machine Learning Summit and practitioner conferences such as MLOps North.