Hire AI Developers to Build Production-Ready Machine Learning Systems

For most roles we can share a shortlist of vetted, available AI developers within 3-5 business days of your discovery call, and onboarding typically completes within one to two weeks depending on notice periods and project complexity.

Both. Depending on your use case, we’ll recommend fine-tuning or prompting an existing foundation model (faster, cheaper for many tasks) or building a custom model trained on your own data (better for narrow, high-stakes predictions) — and explain the tradeoff before you commit to either.

Yes. Our project-based engagement model covers fixed-scope work like a proof-of-concept, a model evaluation, or a single feature build, with a defined timeline and deliverable rather than an open-ended contract.

Yes — we staff engagements against your working hours, with meaningful daily overlap for standups and pairing sessions, whether you’re in the US, UK, or elsewhere.

Yes. Most AI projects fail on data quality, not modeling technique, so our engagements typically include data auditing, labeling workflow setup, and feature engineering alongside the model work itself.

Yes. We work inside your existing cloud accounts and CI/CD pipelines wherever possible, packaging models as versioned, monitored services rather than handing over a notebook and walking away.

We set up monitoring for accuracy drift and data drift, and can stay on in a support retainer to retrain and tune the model as your real-world data evolves — models degrade if nobody watches them after launch.

Yes, full IP ownership transfers to you — this is written into the NDA and contract before any work begins.