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- Tasks: Join our team to build cutting-edge software for algorithmic underwriting models.
- Company: Ki is revolutionising insurance with innovative technology and a diverse, agile team.
- Benefits: Enjoy competitive pay, recognition for your efforts, and a culture of inclusion.
- Why this job: Be part of a fast-growing company that values creativity and challenges the status quo.
- Qualifications: Mid-senior level experience in software engineering, preferably with Python and cloud infrastructure.
- Other info: Work in a collaborative environment focused on continuous improvement and mentorship.
The predicted salary is between 42000 - 84000 ÂŁ per year.
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?
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. Sample products you might be involved in building include, developer tooling, microservice orchestration systems, ML model serving infrastructure, feature serving and storage infrastructure.
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
Required Skills and Experience:
- 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
- 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
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.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Industries
Insurance
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Senior Software Engineer, ML Ops (London) employer: Ki
Contact Detail:
Ki Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer, ML Ops (London)
✨Tip Number 1
Familiarise yourself with Ki's mission and the technology they use. Understanding their approach to algorithmic underwriting and machine learning will help you demonstrate your alignment with their goals during discussions.
✨Tip Number 2
Showcase your experience in agile environments. Since Ki values cross-functional teamwork, be prepared to discuss how you've successfully collaborated in similar settings and contributed to iterative development processes.
✨Tip Number 3
Highlight any relevant experience in Fintech or Insurtech. If you've worked on projects that involve financial markets or insurance technologies, make sure to bring these up as they will resonate well with Ki's focus.
✨Tip Number 4
Prepare to discuss your knowledge of cloud infrastructure and continuous integration practices. Ki is looking for candidates who are comfortable with modern tech stacks, so being able to speak confidently about these areas will set you apart.
We think you need these skills to ace Senior Software Engineer, ML Ops (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software engineering, particularly with server-side languages like Python. Emphasise your familiarity with cloud infrastructure and any experience in Fintech or Insurtech.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for Ki's mission to disrupt the insurance market. Mention specific projects or technologies you’ve worked on that align with the role, such as ML model serving or API integrations.
Showcase Your Technical Skills: Include a section in your application that details your technical skills, especially those mentioned in the job description like SOLID principles, continuous integration, and version control tools like Git. Provide examples of how you've applied these skills in past roles.
Demonstrate Team Collaboration: Highlight your experience working in agile teams and participating in ceremonies like stand-ups and retrospectives. This shows that you can thrive in Ki's collaborative environment and contribute to their cross-functional teams.
How to prepare for a job interview at Ki
✨Showcase Your Technical Skills
Be prepared to discuss your experience with server-side languages, particularly Python, and demonstrate your understanding of software engineering principles like SOLID and DRY. You might be asked to solve coding problems or explain your approach to building scalable applications.
✨Familiarise Yourself with Agile Methodologies
Since Ki values agile practices, brush up on your knowledge of Scrum or Kanban. Be ready to share examples of how you've participated in stand-ups, planning sessions, and retrospectives in previous roles.
✨Understand the Financial Sector
Having a background in Fintech or Insurtech will give you an edge. Research the latest trends in these industries and be prepared to discuss how your skills can contribute to Ki's mission of disrupting the insurance market.
✨Emphasise Collaboration and Mentorship
Ki values teamwork and knowledge sharing. Highlight any experiences where you've mentored colleagues or worked collaboratively in cross-functional teams. This will show that you align with their culture of inclusion and diversity.
