Senior Software Engineer

Ki Insurance
London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer, Data Science Infra & Optimization

Senior Software Engineer (Computer Vision, C++)

Senior Software Engineer (Computer Vision, C++)

Senior Computer Vision Algorithms Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Who are we?


Any additional information you require for this job can be found in the below text Make sure to read thoroughly, then apply.

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

Candidates will have experience as a mid-senior level engineer working across a modern web stack and will bring strong software engineering principles (SOLID, DRY, ER modelling), professional 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, let us know.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.