Ki

About the Company

Ki is a glimpse into the future of risk, redefining what good looks like. It exists to delight brokers and clients. It does this by taking the friction and cost out of placing risk at Lloyd’s of London, by allowing brokers access to an instant underwriting decision, anytime, every time, from anywhere.

Ki uses a proprietary algorithm to underwrite risk, in conjunction with the latest machine learning technology, to make faster, more informed decisions. Built in partnership with Google Cloud and University College London, and backed by Fairfax Financial and Blackstone, Ki redefines the expectations for technology in the market, and harnesses the potential of data. But whilst Ki has a bionic brain, it has a human heart. A wealth of insurance knowledge, expertise and assistance is only a click away.

Risk, simplified.

Listed Jobs

Company Name

Ki

Job Title

Engineering Manager

Job Description

**Job Title:** Engineering Manager **Role Summary:** Lead and grow high‑performing software engineering teams while defining and executing the technical strategy for scalable microservice-based platforms. Drive delivery, coaching, and cross‑functional collaboration to support rapid product innovation. **Expectations:** - Build and mentor a technically proficient, motivated crew. - Champion Agile/Lean practices and continuous improvement. - Align engineering initiatives with business objectives and stakeholder priorities. - Represent engineering at leadership forums and external stakeholder meetings. **Key Responsibilities:** 1. Recruit, onboard, and develop senior and mid‑level engineers. 2. Set, track, and communicate clear performance metrics and sprint goals. 3. Partner with CTO and senior leadership on architecture, tech stack, and infrastructure decisions. 4. Oversee end‑to‑end software development life cycle: design, build, test, deploy, and maintain. 5. Implement and evangelise CI/CD, DevOps, and GitOps workflows on a major cloud provider (Preferred: GCP). 6. Use project management tools (e.g., Jira) to keep teams on schedule and deliverables clear. 7. Scale engineering teams while maintaining quality and culture. 8. Facilitate knowledge sharing, code reviews, and technical debt reduction. 9. Communicate complex technical concepts to both technical and non‑technical stakeholders. **Required Skills:** - Proven experience as Engineering Manager or similar role, leading multiple engineering teams. - Deep understanding of Agile and Lean methodologies with coaching experience. - Strong technical strategy background; adept at advocating architectural decisions. - Hands‑on expertise in microservice architecture and distributed systems. - Proficiency in at least one of: Java, Python, JavaScript, Node.js, Spring Boot, Flask, Kotlin. - Direct commercial experience with a major cloud platform (GCP preferred). - Demonstrated CI/CD, DevOps, and GitOps implementation. - Excellent communication, stakeholder management, and interpersonal skills. - Experience in FinTech, InsurTech, or financial market software highly desirable. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent technical experience). - Professional certifications (e.g., PMP, Scrum Master, Cloud certifications) considered advantageous but not mandatory.

London, United kingdom

Hybrid

03-03-2026

Company Name

Ki

Job Title

Senior Algorithm Engineer

Job Description

**Job Title:** Senior Algorithm Engineer **Role Summary:** Design, develop, and maintain scalable algorithmic underwriting systems that evaluate risks across 25+ insurance classes in under a minute. Bridge specialty insurance expertise with advanced machine‑learning product development in a cloud‑native, Python‑based environment. Lead technical decisions, mentor junior engineers, and ensure compliance, governance, and commercial impact of algorithmic solutions. **Expectations:** - Demonstrate strong commercial acumen and understanding of insurance market dynamics. - Deliver high‑quality, well‑tested, maintainable code that meets regulatory and governance standards. - Collaborate with product owners, business stakeholders, and cross‑functional squads to align technical output with business objectives. - Drive continuous improvement of digital underwriting processes and mentor junior team members. **Key Responsibilities:** - Design and implement algorithmic systems for underwriting and portfolio management at scale. - Enhance robustness and flexibility of the core algorithm through governance digitization and control of data/ML pipelines. - Build enabling services (APIs, micro‑services) to improve algorithm efficiency and scalability. - Translate business requirements into technical specifications and deliver actionable ML‑enabled features. - Serve as a subject‑matter hub for insurance and technology domains within the team. - Oversee code quality, CI/CD pipelines, and cloud‑native infrastructure as code. - Manage and develop junior engineers, fostering best practices and knowledge sharing. **Required Skills:** - Proficient in Python for data science and software development. - Experience building industrial‑grade machine‑learning applications and services. - Solid understanding of data product lifecycle, model governance, and ML operations (MLOps). - Familiarity with cloud platforms (AWS, GCP, Azure) and infrastructure‑as‑code principles. - Competence with CI/CD tools (GitHub Actions, CircleCI, Jenkins) and Agile project management tools (Jira). - Knowledge of insurance underwriting, actuarial concepts, portfolio management, and regulatory compliance. - Strong analytical, problem‑solving, and communication skills. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related quantitative field (Master’s preferred). - Relevant certifications (e.g., AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, or ML‑focused credentials) are a plus but not mandatory.

London, United kingdom

Hybrid

Senior

05-03-2026