Senior Machine Learning Engineer
Tasks
- Collaborate with non-technical stakeholders
- Deploy forecasting models to production
- Diagnose messy data issues
- Handle feedback loops and variable environments
- Lead end to end client launches
- Monitor production model performance
- Run UAT for deployments
- Run daily half hour predictions
- Select machine learning models
- Validate client data
Perks/Benefits
- Co-working stipend
- Equipment budget
- Flexible public holidays
- Fully remote
- Health insurance
- Paid time off
- Parental leave
- Pension contributions matched
- Professional development budget
- Share options
- Team retreats
- Unlimited books
Skills/Tech-stack
Cloud platform | Demand Planning | Docker | Feature Engineering | Forecasting | Google Cloud | Google Cloud Platform | MLflow | Machine Learning | Model Monitoring | NumPy | Python | Scikit-learn | Time Series | UAT
Education
N/A
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