Software Engineer

Ki
London
3 weeks ago
Create job alert

Who are we?

Ki is the biggest global insurance tech company you've never heard of, unless you've been looking to insure a satellite, wind farm or music festival recently.


We launched in 2021 on the back of a fundraise that delivered $500m of investment, making us one the largest fintech start-ups that year. Our investors were excited about the fact we were revolutionising the way a 333 year-old industry was working. We have rapidly scaled: In our first year we wrote over $400m of premium and in 2022 we doubled that to $834m. We have developed Ki over the course of the past 2 years and created a platform that helps insurance brokers cover risks in a fast and frictionless way. We're continuing to lead the charge on the digitisation of this market and that's where you come in - we need more curious minds to work with us to realise this goal and create more opportunities. If helping us transform a multi-billion global industry sounds exciting to you, read on.


What you'll be doing

Our broker platform is the core technology crucial 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.


What you will be doing day to day

You will build robust and scalable software for business-critical, web-based applications, design, build, test, document, and maintain APIs and integrations and develop new functionality in our core Kotlin- and Python-based services, working in multidisciplinary teams. You will also ensure quality control using industry-standard techniques such as automated testing, pairing, and code review. You will work with the Product team to understand end-user requirements and translate them into an effective technical solution.


What you will bring

You will have commercial experience of working across a modern web stack and will bring strong software engineering principles (SOLID, DRY, ER modelling) as well as experience with a server-side language, ideally JVM based and be comfortable working with cloud infrastructure, infrastructure as code, familiar with standard logging and monitoring tools used to investigate issues. You will also have experience with continuous integration, or ideally, continuous delivery, a strong familiarity with build tools (e.g. Maven) and version control tools (e.g. Git/Github) as well as experience working in agile teams, following Scrum or Kanban, participating in regular ceremonies including stand-ups, planning, and retrospectives. Experience using project management and workflow tools (e.g. Jira) would be great and although previous experience of software development in the financial markets, Fintech or Insurtech is preferable it is not essential


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.


If this sounds like a role and a culture that appeals to you, please apply.

Related Jobs

View all jobs

Software Engineer

Software Engineer

Software Engineer

Software Engineer

Software Engineer

Software Engineer - ML Developer Tools

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs for Non‑Technical Professionals: Where Do You Fit In?

Your Seat at the AI Table Artificial Intelligence (AI) has left the lab and entered boardrooms, high‑street banks, hospitals and marketing agencies across the United Kingdom. Yet a stubborn myth lingers: “AI careers are only for coders and PhDs.” If you can’t write TensorFlow, surely you have no place in the conversation—right? Wrong. According to PwC’s UK AI Jobs Barometer 2024, vacancies mentioning AI rose 61 % year‑on‑year, but only 35 % of those adverts required advanced programming skills (pwc.co.uk). The Department for Culture, Media & Sport (DCMS) likewise reports that Britain’s fastest‑growing AI employers are “actively recruiting non‑technical talent to scale responsibly” (gov.uk). Put simply, the nation needs communicators, strategists, ethicists, marketers and project leaders every bit as urgently as it needs machine‑learning engineers. This 2,500‑word guide shows where you fit in—and how to land an AI role without touching a line of Python.

ElevenLabs AI Jobs in 2025: Your Complete UK Guide to Crafting Human‑Level Voice Technology

"Make any voice sound infinitely human." That tagline catapulted ElevenLabs from hack‑day prototype to unicorn‑status voice‑AI platform in under three years. The London‑ and New York‑based start‑up’s text‑to‑speech, dubbing and voice‑cloning APIs now serve publishers, film studios, ed‑tech giants and accessibility apps across 45 languages. After an $80 m Series B round in January 2024—which pushed valuation above $1 bn—ElevenLabs is scaling fast, doubling revenue every quarter and hiring aggressively. If you’re an ML engineer who dreams in spectrograms, an audio‑DSP wizard or a product storyteller who can translate jargon into creative workflows, this guide explains how to land an ElevenLabs AI job in 2025.

AI vs. Data Science vs. Machine Learning Jobs: Which Path Should You Choose?

In recent years, the fields of Artificial Intelligence (AI), Data Science, and Machine Learning (ML) have experienced explosive growth. Spurred by the increase in data availability, advances in computing power, and the demand for intelligent decision-making, organisations of all sizes are investing heavily in these areas. If you’ve been exploring AI jobs on www.artificialintelligencejobs.co.uk, you’ve likely noticed that employers use terms like “AI,” “Data Science,” and “Machine Learning”—often interchangeably. While they are closely related, there are nuanced differences between these fields. Understanding these distinctions is key if you’re trying to decide which path suits you best. This comprehensive guide will help you differentiate among AI, Data Science, and Machine Learning. We will discuss the key skills for each, typical job roles, salary ranges, and provide real-world examples of professionals working in these fields. By the end, you should have a clearer idea of where your strengths and passions might fit, helping you take the next step towards securing your ideal role in the world of data-driven innovation.