Talent · AI and Data
Machine Learning Engineer
An engineer who trains, checks and deploys models for forecasting, scoring, classification and image work.
What they do
- Prepares features and training data
- Trains and tunes models
- Tests models against past data
- Deploys models as services
- Watches for drift and retrains
When to bring one in
- You want demand forecasts or credit scores from your own data
- Cameras need to check quality or count items
- An existing model has stopped performing
Specification
- Core skills
- Statistics, Feature engineering, Model training and tuning, Computer vision, Explainability, Python
- Tools
- scikit-learn, XGBoost, PyTorch, Databricks, MLflow, Vertex AI, SageMaker
Seniority
Mid level3 to 5 years
Builds models with a senior reviewing
Senior5 to 8 years
Owns models from raw data to deployment
Lead8+ years
Sets ML direction and reviews models
Request
Request a Machine Learning Engineer
Tell us about the project, stack and domain. We will share matched profiles, usually within one to two weeks.
Often works with
Start a conversation
Tell us what you are trying to build.
Share the problem in a short call. You leave with a clear view of the approach, the team and the cost.
Or get a ballpark proposal in two minutes
A specialist replies within one working day. The first conversation is free.