Machine Learning Engineer
Tasks
- Build feature engineering pipelines
- Check data leakage and skew
- Collaborate on model evaluation approaches
- Deploy machine learning models
- Develop production model code
- Ensure reproducibility testing and model review
- Improve inference cost and performance
- Monitor model drift and performance
- Run retraining triggers
- Serve machine learning models
- Validate training data and labels
Perks/Benefits
- 4pm Friday finish
- Conferences and celebrations
- Extra wellbeing days off
- Flexible working
- Free Headspace subscription
- Hybrid working
- Monthly travel to London office
- Remote work
- Uni fund for learning
- Wellbeing fund
Skills/Tech-stack
AWS | Azure | CI/CD | Code review | Data Quality | Data leakage | Data leakage detection | Databricks | Drift monitoring | Feature Engineering | Feature Store | Forecasting | LLM | Leakage detection | MLOps | MLflow | Machine Learning | Model Deployment | Model Monitoring | Model Registry | Optimization | Orchestration | Python | RAG | Recommendation Systems | Retraining | Skew Detection | Snowflake | Testing | Version control
Education
N/A
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