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terraform aws snowflake sql grafana📋 Description
- Build and scale the ML platform powering Moonpig ML across teams.
- Collaborate with data scientists, data engineers, and software engineers.
- Design CI/CD pipelines for deploying ML models to production.
- Create cloud-native infra for data pipelines, training, and serving.
- Optimize ML workflows for performance, scalability, and GPUs.
- Monitor models and enable automated retraining workflows.
🎯 Requirements
- Strong experience writing clean, production-ready Python code.
- Proven ability to build scalable applications and data workflows.
- Experience with ML pipelines and platforms such as SageMaker.
- Strong understanding of cloud-native services in AWS or similar.
- Comfortable working in agile environments balancing quality with pragmatic delivery.
- Curious and eager to learn new technologies and improve engineering practices.
🎁 Benefits
- Private healthcare in the UK and mental health support; dog-friendly offices.
- Pension scheme and staff discounts.
- Flexible hybrid working with generous holidays and international time off.
- Learning allowances, coaching and development programs.
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