National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Staff Full Stack Engineer

Ki
London
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer (Maximo)

Trainee Coding and Programmer - No Experience Required

Trainee Coding and Programmer - No Experience Required

Data Analyst (Fraud)

Data Engineer

Data Engineer

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. 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.


What’s the role?


You’ll be primarily focused on the “Portfolio and Digital Underwriting” area of the Tech group. This is a set of 10 multi-disciplinary squads, consisting of Software, Data and Full Stack Engineers, as well as Algorithmic Engineers and Data Scientists. These squads exist to advance our ability to provide accurate quotes for risks based on vast data sets and fined tuned algorithmic capabilities.


The squads own a variety of different systems, including single page applications, data pipelines, backend APIs and algorithmic models.

We’re looking for a Staff Full-Stack Engineer to partner with other Staff level individuals to act as an Engineering leader in this area. You’ll support the Tech Leads in the squads you work with and will look broadly across the wider organisation to raise the bar for Ki’s quality of Software Engineering. You’ll be expected to work through hands on contribution and technical knowhow, but also through forming relationships with Product Managers and Tech Leads, as well as through influencing skills.


Principal Accountabilities:


- Partner with Tech Leads to guide architectural decisions and ensure robust, highly available systems.

- Tackle complex technical challenges with hands-on contributions and build strong relationships within squads.

- Bring a broad engineering perspective to system design discussions.

- Advocate for continuous improvement and mentor team members in both technical and business domains.

- Collaborate across squads on discovery initiatives, technical direction, and long-term strategies for maintainable systems.

- Work closely with Product teams to align end-user requirements with effective technical solutions.

- Promote best practices, minimize inefficiencies, and introduce emerging technologies to enhance team capabilities.


Required Skills and Experience:


- Professional experience with Kotlin, Java or Python and React

- Proven experience as an Engineer working across multiple squads.

- Demonstrated ability to drive technical and behavioural improvements across teams.

- Expertise in leading architectural design for complex backend systems.

- Skilled in influencing and implementing changes across squads.

- Hands-on experience building full stack web applications.

- Proficient with cloud infrastructure, infrastructure as code, and standard logging/monitoring tools for issue investigation.

- Strong background in continuous integration, with a preference for continuous delivery.

- Familiarity with build tools (e.g., Maven) and version control systems (e.g., Git/GitHub).

- Experience collaborating within multi-disciplinary squads, including Data Engineers and Data Scientists.


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.

National AI Awards 2025

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.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.