Trusted by teams at
Every candidate is screened by people who understand the work: data pipelines, training runs, evaluation, and the unglamorous engineering that keeps models reliable.
What we screen for
- PyTorch / JAX
- Fine-tuning and RLHF
- Distributed training
- Evaluation and benchmarking
- Feature and data pipelines
- Model deployment
Depth over keywords
We assess what candidates actually built: models trained, metrics moved, systems shipped.
Reach beyond job boards
The best ML engineers are rarely applying. We find and approach them directly.
Full-time or contract
Permanent hires for your team, or expert contractors for a defined project.
Frequently asked questions
What does an ML engineer do?+
ML engineers build, train, evaluate and deploy machine learning models, and the data and infrastructure around them. The best ones combine solid software engineering with a real understanding of how models behave.
How fast can you deliver candidates?+
It depends on the role and the market. We agree on a timeline when we scope your search, and expert cohorts for data projects can often start sooner because we draw on people already in our network.