Hire machine learning engineers

A data scientist explores data and proves a model can work; an ML engineer builds it to run reliably in production: pipelines, serving, monitoring and retraining.

Yes. For forecasting, scoring, ranking and detection on structured data, classic models are cheaper, faster and more accurate than language models.

Enough examples of the outcome you want to predict, with clean history. An engineer can assess your data in a short discovery before you commit.

Tell us what you need. We review it with you, put forward developers whose experience fits, you interview them, and you decide. You can hire full time, part time, on contract or for a project, remote or on site.

It depends on the role, seniority, length and how you engage. Tell us what you need and we will come back with options. There is no charge to talk.

DevSocial is where developers learn, write and share. Its members' work is public: what they have written and answered, their rank and their skills, so you can see how someone thinks before you meet them.