mldev.net
Job adverts for this role have multiplied faster than anyone can fill them, and the title itself is still settling. Machine learning engineer, ML developer, MLOps engineer. The abbreviation is stable even where the phrasing isn’t.
Two of them, joined, in five characters. Practitioners read it instantly and nobody else needs to.
The work is genuinely distinct from both data science and conventional engineering, with its own toolchain: experiment tracking, model registries, feature stores, deployment pipelines and production monitoring. That toolchain is a substantial market with well-funded entrants.
A tooling product, a specialist consultancy, a training provider, a job board or a technical community would each fit.
The extension is native for developer infrastructure, and brevity matters here because a name like this ends up inside package names, imports and command lines.
The name is listed. Offers considered.