What our ml engineers do
Machine learning engineers turn historical data into models that predict, classify or detect. Unlike one-off analysis, their models run every day inside your products and processes, so they care about data pipelines, retraining and monitoring as much as accuracy.
Typical projects include demand forecasting for inventory, credit or lead scoring, quality inspection with computer vision, predictive maintenance and personalised recommendations.
What you can build with our ml engineers
- Demand and sales forecasting for planning and inventory
- Lead, churn and risk scoring models
- Computer vision for inspection, counting and safety
- Predictive maintenance from machine and sensor data
- Recommendation and ranking systems
- Anomaly and fraud detection on transactions
Flexible ways to hire
- Dedicated engineer: a full-time ml engineer working only on your product, in your tools and sprints.
- Part-time or on demand: expert hours for reviews, architecture or a specific feature.
- Managed team: a small cross-functional team that delivers a defined project end to end.