Senior MLOps Engineer

📋 Job Overview

We're looking for a Senior MLOps Engineer to join our Algorithmic Underwriting team at Ki Insurance. In this role, you’ll develop and extend our MLOps system, empowering our underwriting algorithm to improve effectively and efficiently. Ki is a global algorithmic insurance carrier that uses algorithms, machine learning, and large language models to revolutionize the insurance market.

🏢 About Ki Insurance

Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing syndicate in the Lloyd's of London market, and the first ever to make $100m in profit in 3 years. Ki’s teams have varied backgrounds and work together in an agile, cross-functional way to build the very best experience for its customers.

🎯 The Role

In this role, you’ll develop and extend our MLOps system, empowering our underwriting algorithm to improve effectively and efficiently. We'll work together across the business to tackle exciting technical challenges that go far beyond traditional MLOps systems. You’ll expand our MLOps system to manage the lifecycle of actuarial models and rules-based models alongside standard machine learning models. You’ll also have the opportunity to propose, design, and execute initiatives independently, guiding a talented team to bring these ideas to life.

✅ Key Responsibilities

• Work with colleagues to design, deliver and evolve Ki’s end-to-end MLOps system.
• Work with colleagues to create and iterate governance processes around model lifecycle management.
• Enable colleagues across Ki to deliver models more quickly and safely into production.
• Manage overall cost and return on investment relating to the MLOps system, including build versus buy decisions and vendor selections.
• Identify opportunities to improve and extend Ki’s MLOps system.
• Advocate and uphold model management best practices.
• Act as a knowledge hub on Ki’s MLOps system, educating the rest of the Ki team on its capabilities and driving adoption across the business.
• Liaise with stakeholders to structure and evolve the roadmap for Ki’s MLOps system.
• Coaching and developing early-career members of the team.
• Drive improvements in the way we operate as a digital underwriting capability.

📌 Required Qualifications

• Experience with MLOps system development, including experience of applying MLOps concepts such as feature store, model registry, model monitoring.
• Experience with infrastructure as code such as terraform.
• Understanding of the control and management of data products and machine learning algorithms.
• Understanding of the importance of market compliance and core regulatory requirements.
• A Bachelor’s degree in a STEM field, or equivalent commercial experience.

⭐ Desirable Experience

• Experience with inference graphs or model workflows.
• Experience leveraging MLOps systems to productionise non-machine learning models, for example, rules-based models.

🎁 Benefits

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.

🛂 Visa & Eligibility

Ki does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.