Senior Software Engineer, ML Ops Vacancy Name: Senior Software Engineer, ML Ops Employment Type: Permanent Think space shuttles, world tours, wind farms, and even footballers’ legs. 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 and 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. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Sample products you might be involved in building include developer tooling, microservice orchestration systems, ML model serving infrastructure, and feature serving and storage infrastructure. Build robust and scalable software for business critical, web-based applications. # Ensure quality control using industry standard techniques such as automated testing, pairing, and code review. # Assess current system architecture and identify opportunities for growth and improvement. # 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 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. 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. You’ll get a highly competitive remuneration and benefits package.
