Senior Software Engineer, ML Ops

Innovation Group; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

Join a forward-thinking company revolutionizing the insurance industry with cutting-edge technology and machine learning. As a Senior Software Engineer in ML Ops, you will be part of a dynamic team dedicated to building robust software solutions that enhance underwriting processes. Your expertise will contribute to the development of innovative tools and systems, enabling rapid deployment of algorithmic models. With a focus on collaboration and continuous improvement, this role offers the chance to work on impactful projects in a diverse and inclusive environment. If you're passionate about technology and eager to make a difference, this opportunity is perfect for you.

Benefits

Competitive remuneration

Diversity and Inclusion initiatives

Recognition and rewards for efforts

Qualifications

• Mid-senior level experience in software engineering with a modern stack.
• Strong background in Python and cloud infrastructure.

Responsibilities

• Build scalable software for web-based applications.
• Design and maintain APIs and integrations.
• Mentor colleagues in engineering and business domains.

Skills

Python

Software Engineering Principles

Cloud Infrastructure

Continuous Integration/Delivery

Agile Methodologies

Version Control (Git/Github)

Tools

Logging and Monitoring Tools

Build Tools

Job description

Please visit our careers site to find out more about working at Ki.

Job Details: Senior Software Engineer, ML Ops

Vacancy Name: Senior Software Engineer, ML Ops

Employment Type: Permanent

Location: London

Role Details

Who are we?
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 and 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.

What’s the role?
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 is focused on enabling Ki to build and deploy best-in-market algorithmic underwriting models and graphs of models at scale. Sample products you might be involved in building include developer tooling, microservice orchestration systems, ML model serving infrastructure, and feature serving and storage infrastructure.

Principal Accountabilities

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

Required Skills and Experience

1. Experience as a mid-senior level engineer working across a modern stack.
2. Strong software engineering principles (SOLID, DRY, data modelling).
3. Professional experience with a server-side language, ideally Python.
4. Comfortable working with cloud infrastructure, infrastructure as code, familiar with standard logging and monitoring tools used to investigate issues.
5. Experience with continuous integration, or ideally, continuous delivery.
6. Strong familiarity with build tools and version control tools (e.g. Git/Github).
7. Experience working in agile teams, following Scrum or Kanban, participating in regular ceremonies including stand-ups, planning, and retrospectives.
8. Previous experience of software development in the financial markets, Fintech or Insurtech is preferable.
9. Experience or interest in building developer tooling, platform engineering, and/or machine learning is desirable.

Our culture

Inclusion & Diversity is at the heart of our business at Ki. We recognise that diversity in age, race, gender, ethnicity, sexual orientation, physical ability, thought and social background bring richness to our working environment. No matter who you are, where you’re from, how you think, or who you love, we believe you should be you.

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.