In this role, you will be responsible for developing and extending our MLOps system to enable Ki’s underwriting algorithm to improve effectively and efficiently.

This is an exciting opportunity where you will be working collaboratively with colleagues across the business to face exciting technical challenges beyond traditional MLOps systems. For example, generalising the MLOps system beyond conventional machine learning models to also manage the lifecycle of actuarial models and rules-based models. You will also have opportunities to propose, design, and execute initiatives independently, leading a team to deliver on these goals.

If you are looking for a role in which you can utilise your experience with infrastructure as code, such as terraform and working with MLflow and Seldon Deploy, then this could be the role for you.