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MLOps Engineer

Ki Insurance
London
9 months ago
Applications closed

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Who are we?


Ki is the biggest global insurance tech company you’ve never heard of, unless you’ve been looking to insure a satellite, wind farm or music festival recently.


Having written over $877m in gross written premium in 2023, we’ve achieved significant growth since our beginnings in 2021. Our investors were excited about the fact we were revolutionising the way a 333 year-old industry was working. There are hardly any industries left that are mainly paper based, but the specialty insurance market is one. Together with partners at Google and UCL we developed Ki and created a platform that helps insurance brokers place risk in a fast and frictionless way. We’re continuing to lead the charge on the digitisation of this market and we need more excellent minds to work with us to realise this goal and create more opportunities.


Purpose of the Role


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.


Our culture


Inclusion & Diversity is at the heart of our business at Ki. We recognise that diversity in age, race, gender, ethnicity, sexual orientation, physical ability, thought and social background bring richness to our working environment. No matter who you are, where you’re from, how you think, or who you love, we believe you should be you.


You’ll get a highly competitive remuneration and benefits package. This is kept under constant review to make sure it stays relevant. We understand the power of saying thank you and take time to acknowledge and reward extraordinary effort by teams or individuals.

National AI Awards 2025

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