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Machine Learning Operations Engineer

4 weeks ago

City of London, United Kingdom Ki Insurance Full time
About Ki Insurance

Ki Insurance is a leading global insurance technology company that's revolutionizing the specialty insurance market. With a strong focus on innovation and digitization, we're creating a platform that enables insurance brokers to place risk in a fast and frictionless way.

We're looking for talented professionals to join our team and help us achieve our goals. As a key member of our team, you'll have the opportunity to work on exciting technical challenges and contribute to the development of our MLOps system.

Job Summary

We're seeking a highly skilled Machine Learning Operations Engineer to join our team. In this role, you'll be responsible for developing and extending our MLOps system to enable Ki's underwriting algorithm to improve effectively and efficiently.

You'll work collaboratively with colleagues across the business to face technical challenges and have opportunities to propose, design, and execute initiatives independently. If you have experience with infrastructure as code, such as Terraform, and working with MLflow and Seldon Deploy, this could be the perfect role for you.

About the Role

As a Machine Learning Operations Engineer, you'll be responsible for:

  • Developing and extending our MLOps system to enable Ki's underwriting algorithm to improve effectively and efficiently
  • Collaborating with colleagues across the business to face technical challenges
  • Proposing, designing, and executing initiatives independently
  • Working with infrastructure as code, such as Terraform, and MLflow and Seldon Deploy
What We Offer

We offer a highly competitive remuneration and benefits package, which is kept under constant review to ensure it stays relevant. We also recognize the importance of inclusion and diversity and strive to create a workplace that's welcoming and inclusive for all.

We're committed to acknowledging and rewarding extraordinary effort by teams or individuals, and we believe that our culture is at the heart of our business. If you're passionate about machine learning and operations, and you're looking for a challenging and rewarding role, we'd love to hear from you.