Machine Learning Developer
3 weeks ago
Machine Learning Engineer Role
Moonpig Group is an international group made up of three brilliant brands – Moonpig in the UK, Ireland, US and Australia, and Greetz in the Netherlands – with our newest addition Buyagift joining us in 2022.
The primary focus of this role will be on building and maintaining scalable machine learning infrastructure. This will include collaborating with data scientists, engineers, and business stakeholders to streamline the end-to-end machine learning lifecycle, from model development to deployment and monitoring.
Key Responsibilities:
- Design, implement, and manage CI/CD pipelines for the deployment of machine learning models into production environments, ensuring scalability, reliability, and performance.
- Implement monitoring systems for models in production to track performance, detect anomalies, and automate model retraining workflows.
- Collaborate closely with data scientists, data engineers, and software developers to streamline the machine learning lifecycle.
- Optimise machine learning workflows for performance and scalability, including resource utilisation, distributed processing, and GPU/TPU acceleration.
- Evaluate and implement security best practices, including access control, data privacy, and compliance with relevant regulations.
Our Tech Environment:
- AWS (Sagemaker, EC2, Lambda, Glue, S3, API Gateway)
- Snowflake
- Terraform
- Python
- C#
- .NET Core
- SQL
- Kanban
- Jira/Confluence
- Grafana and AWS Cloudwatch
- Clean Architecture
- TDD
- Pair Programming
- Experimentation to validate hypothesis
Moonpig Group values diversity, equality, and inclusivity in the workplace. We strive to create an environment that is welcoming and comfortable for all employees to be their authentic selves.
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