For feature details, visit Whova
Early-bird pricing ends September 1 — grab your ticket before it goes
Nov 5–6 · Toronto
- MLOps North
- Toronto Summit
- Presented by TMLS
Building<with>Agents
And the people building <with> them — one room, on the Toronto waterfront.
2
Days
10+
Tracks
35+
Sessions
Nov 5–6
- 2026
- RBC WATERPARK PLACE
Presented with our Platinum Sponsor
Why Come to the summit
01
Ship-it-Monday patterns
Every session is a working practitioner walking through what they run in production — architecture, failure modes, and the fix.
02
Both sides of the agent stack
Whether you build the frameworks or build on them, you’re in the room with the people solving the problem one layer over.
03
The Toronto AI network, in person
Cohere, Vector, RBC, Shopify, Wealthsimple and the startups between them — two days on the waterfront.
The theme, split two ways
Two parts: The stack and what you ship on it
Building Agents
The stack — frameworks, memory, evals, orchestration. The infrastructure other teams stand on.
Building with Agents
What you ship on it — products, workflows, and agents in regulated industries. Living with what happens next.
Tracks & track leads
6 tracks · each curated by its lead
Building Agents
Agent frameworks & orchestration
Framework choices and orchestration patterns that keep multi-step agents from falling over in production.
- State machines vs. planners in prod
- Orchestrating 40 tools without the model panicking
Lena Volkov
Research Lead @ Vector Institute
Building Agents
Memory, context & retrieval
Context windows, memory stores, and retrieval that stays useful well past the demo.
- Memory that doesn't blow your context budget
- Orchestrating 40 tools without the model panicking
Amara Okafor
Staff ML Engineer @ Cohere
Building Agents
Evals & observability
Measuring agents you can’t fully predict — evals, traces, and catching regressions before users do.
- Evals that actually catch regressions
- Tracing a 200-step agent run
Lena Volkov
Research Lead @ Vector Institute
Building with Agents
Agents in the enterprise
Shipping agents inside regulated, audited, high-stakes organizations — and living with what happens next.
- Agents inside a regulated bank
- Getting compliance to say yes
Marcus Chen
Head of AI @ RBC
Building with Agents
Coding agents & dev workflows
Coding agents your team will actually trust, and the workflows that make them net-positive.
- A coding agent your team will trust
- Reviewing code an agent wrote
Tomas Alvarez
Co-founder & CTO @ Loop AI
Building with Agents
Customer & data agents
Agents facing real customers and messy warehouses — support, analytics, and the long tail of edge cases.
- Analytics agents on messy warehouses
- A support agent for 2M merchants
Grace Kim
Director of Data @ Borealis AI
Every track is peer-curated by its lead — practitioners, not a program committee. No intro-to-anything; the things people are debugging, scaling, and fixing right now.
Speakers
Practitioners walking through what they actually run.
Speakers to be Announced
Building Agents
Amara Okafor
Staff ML Engineer
Cohere
“Memory that doesn’t blow your context budget”
Building with Agents
Daniel Reyes
Principal Engineer
Shopify
“Shipping a support agent to 2M merchants”
Building Agents
Priya Nadkarni
ML Infra Lead
Wealthsimple
“Evals that actually catch regressions”
Building with Agents
Marcus Chen
Head of AI
RBC
“Agents inside a regulated bank”
Building Agents
Lena Volkov
Research Lead
Vector Institute
“Multi-agent coordination without chaos”
Building with Agents
Tomas Alvarez
Co-founder & CTO
Loop AI
“A coding agent your team will trust”
Building Agents
Fatima Hassan
Distinguished Engineer
Layer 6
“Observability for long agent traces”
Building with Agents
Grace Kim
Director of Data
Borealis AI
“Analytics agents on messy warehouses”
Building Agents
Amara Okafor
Staff ML Engineer
Cohere
“Memory that doesn’t blow your context budget”
Building Agents
Priya Nadkarni
ML Infra Lead
Wealthsimple
“Evals that actually catch regressions”
Building Agents
Lena Volkov
Research Lead
Vector Institute
“Multi-agent coordination without chaos”
Building Agents
Fatima Hassan
Distinguished Engineer
Layer 6
“Observability for long agent traces”
Building with Agents
Daniel Reyes
Principal Engineer
Shopify
“Shipping a support agent to 2M merchants”
Building with Agents
Marcus Chen
Head of AI
RBC
“Agents inside a regulated bank”
Building with Agents
Tomas Alvarez
Co-founder & CTO
Loop AI
“A coding agent your team will trust”
Building with Agents
Grace Kim
Director of Data
Borealis AI
“Analytics agents on messy warehouses”
Agenda at a glance
Two days, waterfront
08:30
Registration & waterfront coffee
09:15
Opening keynote
Building with Agents
10:15
Track sessions
Agent frameworks · Agents in the enterprise
12:00
Lunch + Brain Dates
13:15
Hands-on workshops
Evals & observability
15:00
Track sessions
Memory & retrieval · Coding agents
16:30
Fireside: agents inside RBC
Building with Agents
18:00
Opening keynote
Building with Agents
09:00
Day 2 keynote
Building Agents
10:00
Track sessions
Multi-agent systems · Customer-facing agents
11:30
Panel: guardrails, security & governance
12:30
Lunch + Startup Zone
13:45
Lightning talks
15:00
Track sessions
MCP & tooling · Data agents
16:30
Closing keynote + community awards
Who's in the room
300+
ML & AI practitioners across two days
80%
in senior, lead, or leadership roles
35+
speakers from teams shipping agents now
10+
peer-curated tracks, zero intro talks
Tickets
Early-bird pricing is live
All prices in CAD. Both days, all tracks, meals.
Best value
Early Bird
$349CAD
Ends Sept 1 or when sold out
- Both days, all 10 tracks
- Workshops & Brain Dates
- Session recordings
Standard
$399CAD
After early-bird closes
- Both days, all 10 tracks
- Workshops & Brain Dates
- Session recordings
Team (3+)
$359 / seat
Bring the whole squad
- Everything in Standard
- Per-seat group rate
- Reserved team seating
- One invoice
Student/Community
$349CAD
Students & verified non-profit
- Both days, all tracks
- Limited allocation
- Verification required
Call for proposals
Building something worth showing?
Talk selection is peer-reviewed by the practitioner committee. We want the debugging, the scaling, the war stories — not the pitch deck. Submissions close September 1st.
Sponsors & partners
In front of the teams doing the work
- Presented with RBC
Presented with RBC
MLOps North is hosted at RBC WaterPark Place.
Expect deep sessions on running agents inside a regulated enterprise.
Gold Sponsor
Gold Sponsor
Gold Sponsor
Silver Sponsor
Silver Sponsor
Silver Sponsor
Silver Sponsor
Tiers from Startup Zone to Platinum — a few spots left.
Venue & travel
RBC WaterPark Place, on the water
88 Queens Quay W, Toronto, ON M5J 0B6. Minutes from Union Station and the core.
Getting there
8-minute walk from Union Station (GO, UP Express, subway). Billy Bishop airport is a 15-min cab.
Questions
When and where is MLOps North?
November 5–6, 2026 at RBC WaterPark Place, 88 Queens Quay W, Toronto, ON M5J 0B6 — right on the waterfront, a short walk from Union Station.
Who should attend?
ML and data engineers, solution architects, infra leads, and the technical leadership who own agent projects — from startups to enterprises. If you build agents or build with them, this is your room.
What does the theme mean?
“Building Agents” is the stack — frameworks, memory, evals, orchestration. “Building with Agents” is what you ship on it — products, workflows, agents in regulated industries.
Can I speak or sponsor?
Yes — the call for proposals is open until September 1st and is peer-reviewed by the practitioner committee. Sponsorship tiers run from Startup Zone to Gold; a few spots remain.
Building <with> Agents.
See you in Toronto.
November 5–6, 2026 · RBC WaterPark Place. Early-bird pricing ends September 1.
An event by the Toronto Machine Learning Summit (TMLS)