Senior ML Engineer
Tasks
- Create scalable ML pipelines and dashboards
- Design and build machine learning systems
- Design data models and data structures
- Document technical design and performance
- Evaluate data integrity and suitability
- Maintain and develop ML services and APIs
- Prepare and pipeline data for training and inference
- Refine prototype models into production components
- Write maintainable code
Perks/Benefits
- Flexible working arrangements
- Health and wellbeing benefits
- Paid holiday leave
- Pension scheme
- Private medical
- Professional subscriptions
- Retails vouchers
Skills/Tech-stack
AWS | Airflow | Azure | Azure ML | CI/CD | Data Engineering | Data Governance | Docker | GCP | Kubeflow | MLflow | Model Deployment | Model Monitoring | Model Validation | PyTorch | Python | SageMaker | Scikit-learn | TensorFlow
Education
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