MLOps World
The leading practitioner conference for ML engineers and data scientists shipping models to production at scale.
- Next edition
- October 7 – October 8, 2026
- Location
- Austin, Texas
- Attendees
- ~1,500
- Since
- 2020
About MLOps World
MLOps World is organized by the MLOps Community and is the most respected dedicated conference for the operational side of machine learning — model monitoring, feature stores, training infrastructure, evaluation, and the emerging LLMOps stack. Attendees are senior ML engineers, platform leads, and data science directors from companies that already have models in production.
It deliberately stays smaller than the big-tech events to keep technical density high, and pairs with the Generative AI World co-located track for teams transitioning from classical ML to LLMs.
AMW for AI / Tech
Figuring out where AI fits in your business?
Operators at conferences like this one are evaluating AI tools and weighing where to deploy them. AMW scopes AI implementation projects end-to-end — from picking the right use case to standing up the workflows and handing your team a working system. Sales-scoped, not self-serve.
Relevant AMW Suite apps
Past & upcoming editions
-
2026October 7 – October 8, 2026
-
2025October 8 – October 9, 2025
Frequently asked questions
- When is MLOps World 2026?
- MLOps World 2026 runs October 7-8 in Austin, Texas, with a hybrid virtual option.
- How much does MLOps World cost?
- In-person passes typically range $895-$1,495 USD. Virtual access is significantly cheaper.
- Who attends MLOps World?
- ML engineers, MLOps platform engineers, data science directors, and ML platform leads at companies running models in production. Audience is small and senior.
- Is MLOps World too technical for an ML leader?
- No — sessions span platform architecture down to implementation, but the conference deliberately balances practitioner depth with leadership tracks on team structure, evals, and budgeting.
- What is Generative AI World?
- A co-located track at MLOps World specifically for teams operating LLM applications — covering RAG, evals, agent orchestration, and LLM observability.
Talk to AMW about ai / tech.
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