Build a brilliant future with Hiscox as a Machine Learning Engineer. Play a key role in building and maintaining the infrastructure that supports the deployment of machine learning models across the London Market business unit.
Requirements
- Develop and maintain infrastructure for deploying ML models in both real-time and batch environments.
- Build and maintain Python APIs (Flask/FastAPI) to serve ML models.
- Collaborate with cross discipline engineers to integrate ML services into user-facing applications.
- Work with platform engineers to align with infrastructure best practices and ensure scalable deployments.
- Review pull requests and contribute to code quality across the MLE team.
- Monitor and maintain cloud-based ML services, ensuring reliability and performance.
- Design and implement CI/CD pipelines for ML model deployment.
- Write unit tests and follow object-oriented programming principles to ensure maintainable code.
- Support data modelling and cloud networking tasks as needed.
- Contribute to the development and improvement to our model registry, including tracking and implementation of model discontinuation upgrades and model monitoring.
Benefits
- Healthy work-life balance with our 35h/week and hybrid working system.
- Holidays: 25 days + 2 Hiscox Days (Extra two Annual Leave).
- Health insurance, gym allowance, pension plan etc.
- After 5 years work 1-month sabbatical leave.
