Machine Learning Engineer vetted that ships on day one
Hire experienced ML engineers for model training, deployment, and MLOps. Production-grade pipelines on AWS, GCP, and Azure.
What Hire Machine Learning Engineer looks like with us
Our Machine Learning Engineer work is led by senior engineers with 8+ years of production experience — no bait-and-switch staffing. Each project has a named lead engineer, a delivery lead, and a weekly written status so there are no surprises. We structure work around your existing engineering cadence — Slack or Teams channel, weekly demos, shared backlog. If you're evaluating partners, start with a 30-minute discovery call — a senior engineer will join, not a sales rep.
- 01Typical ramp in 5-7 business days from signed SoW to first commit
- 02Engagement flex: full-time, part-time, fixed-scope, or team extension
- 03Embedded directly in your Slack / Jira / GitHub — no shadow IT
- 04Weekly written status and a named delivery lead you can escalate to
- 05Full IP transfer; mutual NDA before any conversation
How teams use this
Build a small squad (lead + two) to ship a specific product area end-to-end
Augment an existing engineering team with a senior Machine Learning Engineer for a 3-6 month delivery sprint
Replace an open full-time role with a vetted contract Machine Learning Engineer while you continue hiring
100+ companiesquietlyrunonsystemswebuilt.
Common questions
What happens if the engineer underperforms?
We guarantee a replacement within 7 business days at no cost if the engineer doesn't meet the agreed-upon quality bar during the first 30 days.
How are your Machine Learning Engineers vetted?
Every engineer goes through a 90-minute technical + systems-design interview with a senior from our team, plus reference checks. We record interviews so you can audit the process.
Who owns the IP?
You do. All code, documentation, model weights, and deliverables are assigned to you on payment. Our master service agreement spells this out explicitly.
Do you sign NDAs before a scoping call?
Yes — standard practice. We circulate a mutual NDA before any detailed conversation about your product, data, or roadmap.
Whatpeople who shipped with ussayafterwards.












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Telluswhatyouwanttoautomate.We'llreplyinonebusinessday.
Describe the problem, the constraint, the deadline. We'll send back a scoped plan and a senior engineer to kick it off — no sales theater.




