Machine Learning Engineer

6 days ago


South East England, United Kingdom Ki Insurance Full time
About Ki Insurance

Ki Insurance is a leading global insurance technology company that is revolutionizing the specialty insurance market. With a strong focus on innovation and digitization, we are committed to providing fast and frictionless risk placement solutions for insurance brokers.

Our company has experienced significant growth since its inception in 2021, with over $877m in gross written premium in 2023. We are proud to be a part of the Lloyds of London market and are committed to pushing the boundaries of technology within this industry.

Job Summary

We are seeking an experienced Algorithm Engineer to join our team. As a key member of our development team, you will be responsible for developing and refining machine learning enabled products that operate across various classes of business.

The successful candidate will have a strong background in developing industrialized machine learning applications and programming in Python. You will be working at the intersection of underwriting and algorithm development, utilizing internal and external data sources to create scalable and innovative solutions.

Key Responsibilities
  1. Develop and refine machine learning enabled products that operate across various classes of business.
  2. Collaborate with the development team to design and implement scalable and innovative solutions.
  3. Utilize internal and external data sources to inform product development and improvement.
  4. Work closely with underwriting teams to ensure alignment with business objectives.
About the Role

This is an exciting opportunity for a talented Algorithm Engineer to join our team and contribute to the development of our platform. If you have a passion for machine learning and a strong background in Python programming, we encourage you to apply.

Our Culture

Ki Insurance is committed to creating an inclusive and diverse work environment. We believe that diversity in age, race, gender, ethnicity, sexual orientation, physical ability, thought, and social background brings richness to our working environment. We are an equal opportunities employer and welcome applications from all qualified candidates.



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