Senior Software Engineer, ML Ops

Ki-insurance (Headquarters: London, UK)

Python Golang Kotlin Typescript Kubernetes GCP Machine Learning ML Ops AI Algorithms Software Engineering Cloud Infrastructure Infrastructure as Code CI/CD Git Github Agile Scrum Kanban FinTech Insurtech Developer Tooling Microservices Model Serving Feature Serving Data Modelling SOLID DRY AI Engineer Staff Engineer

**About Ki-insurance:**
Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. 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. Ki has big ambitions but needs more excellent minds to challenge the status-quo and help it reach new horizons.

**The Role: Senior Software Engineer, ML Ops**
Join the Model Platform squad at Ki, an ambitious team dedicated to developing Ki's Core Algorithmic Underwriting Platform, the backbone of Ki's Algorithmic Underwriting capabilities and aspirations. The squad's mission is to empower Ki in constructing and deploying cutting-edge algorithmic underwriting models and scalable model graphs. Our broker platform is the core technology to Ki's success – allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features – we favour a highly iterative, analytical approach. Initially, you would be working as part of the core technology group in the model ops squad. The Model Ops squad are focused on enabling Ki to build and deploy best in market algorithmic underwriting models and graphs of models at scale.

**Key Responsibilities (Principal Accountabilities):**
*   Build robust and scalable software for business critical, web-based applications.
*   Design, build, test, document and maintain API’s and integrations.
*   Ensure quality control using industry standard techniques such as automated testing, pairing, and code review.
*   Document technical design and analysis work.
*   Assess current system architecture and identify opportunities for growth and improvement.
*   Build mock-ups or prototypes to explore and troubleshoot new initiatives.
*   Explore new ideas and emerging technologies, develop prototypes quickly.
*   Uphold and advance the wider engineering team’s principles and ways of working.
*   Serve as a domain expert for one or more of Ki’s core technologies.
*   Mentor and coach colleagues in both engineering and business domain subjects.

**Technical Skills Required:**
The tech stack includes Python, Golang, Kotlin, Typescript, Kubernetes, and GCP.
*   Experience as a mid-senior level engineer working across a modern stack.
*   Strong software engineering principles (SOLID, DRY, data modelling).
*   Professional experience with a server-side language, ideally Python.
*   Comfortable working with cloud infrastructure, infrastructure as code, familiar with standard logging and monitoring tools used to investigate issues.
*   Experience with continuous integration, or ideally, continuous delivery.
*   Strong familiarity with build tools and version control tools (e.g. Git/Github).
*   Experience working in agile teams, following Scrum or Kanban, participating in regular ceremonies including stand-ups, planning, and retrospectives.

**Ideal Candidate:**
We are calling all Software Engineers interested in Machine Learning and AI!
*   Previous experience of software development in the financial markets, Fintech or Insurtech is preferable.
*   Experience or interest in building developer tooling, platform engineering, and/or machine learning is desirable.
*   You will be an excellent mind ready to challenge the status-quo and help Ki reach new horizons.

**Benefits:**
You'll get a highly competitive remuneration and benefits package, which 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.