Building ML in the Dark: A Survival Guide for the Solo Practitioner

Last Updated on April 8, 2026 by Editorial Team Author(s): Yuval Mehta Originally published on Towards AI. Photo by Boitumelo on Unsplash No GPU cluster. No data team. No ML platform. Here’s what actually ships. Most ML content is written for teams that have things. A labelled dataset. An MLOps platform. A data engineer who answers Slack messages. A GPU budget that someone has already approved. You probably don’t have those things. You’re embedded in a product or analytics team, you were handed