Practical discussions
Ask concrete questions about modeling, data quality, evaluation, deployment, and operating ML systems.
The front door for ML engineers who want a practical community.
MLEN is a community for machine learning engineers, builders, and practitioners. Join for peer discussion, useful content, and community events around real ML engineering work.
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Inside the community
Useful conversations for the work between notebooks and production.
Learning & Growth
Build sharper engineering judgment through peer learning, shared resources, project reviews, and practical lessons from real ML work.
Content and resources
Find papers, guides, talks, implementation notes, and field-tested patterns worth your time.
Talks and events
Follow community sessions, meetups, recordings, and future live programming as MLEN grows.
Events
Community programming online and in person.
Events are where MLEN turns discussion into shared context: talks, demos, meetups, reading groups, and hands-on sessions around practical ML engineering.
In-person meetups
Local gatherings for ML builders to meet, share work, and trade practical notes from the field.
Online sessions
Remote talks, workshops, and community calls for members who want to participate from anywhere.
Project demos
Lightweight show-and-tell sessions where members can present what they are building and get feedback.
Agentic ML
A space to understand how AI is changing ML engineering.
MLEN also talks about agentic ML: how AI agents, new tooling, and automated workflows are changing the way machine learning systems are built, evaluated, deployed, and maintained.