Algorithmic underwriting platform for brokers placing risk at Lloyd's
Ki runs algorithmic underwriting for Lloyd's of London brokers, built on Python, Kotlin and TypeScript across GCP, AWS and Azure with BigQuery, dbt and Dagster/Airflow/Prefect for data. Hiring is accelerating and engineering-heavy, with job posts concentrated on MLOps: scaling the system, extending it to rules-based models and controlling its cost. A planned move from database logging to event streaming points to real-time decision data capture.
Ki is a London-headquartered insurance company founded in 2020 that gives brokers instant underwriting decisions for risk placed at Lloyd's of London. Its proprietary underwriting algorithm is paired with machine learning to speed up decisions. The company employs 201–500 people, is privately held, and hires in the United Kingdom. Beyond engineering, it maintains finance, data, operations and underwriting functions, and runs Salesforce and Slack alongside a managed Windows 11 device fleet.
Ki uses Python, TypeScript, Kotlin and Java, with React, FastAPI and Flask, on GCP, AWS and Azure via Terraform. Data runs on BigQuery, PostgreSQL, dbt, Dataform, Dagster, Airflow and Prefect.
Yes. Ki's hiring is accelerating and weighted heavily toward senior engineering, with smaller needs in finance, data, operations and underwriting, all based in the United Kingdom.
Ki is building and scaling its MLOps system, generalising it for rules-based models, upgrading algorithm decision data capture, developing its broker platform and automating financial reporting.
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