Senior Python Engineer

  • London, UK
  • Full Time (Permanent)
  • Data Science

About the role

We’re looking for an experienced machine learning engineer to join us as the newest member of the Data Science Infrastructure team. The team is responsible for designing, developing, and maintaining the critical high-performance services that support our underwriting capabilities across the entire business. In addition we work closely with both the rest of the data science team and credit analysts to create tools to enhance productivity. This role will be key to us delivering as we expand further in both the UK and the US.

Our Tech Stack 

  • Python

  • Pytorch

  • FastAPI

  • AWS

  • Docker

  • Kubernetes

  • ArgoCD

What you’ll be doing/impact on objectives

  • Develop key services that power our underwriting capabilities

  • Deploy, optimise, update and maintain our underwriting models & services across all our products and regions

  • Create libraries that enables our data science team to more efficiently create the next generation of models

What we’re looking for

  • Detailed knowledge of managing services in Kubernetes

  • Solid experience with Python web application frameworks like FastAPI

  • Strong engineering principles - design patterns, unit testing, code reviews

  • A keen desire to both learn from and upskill other team members

Nice to have

  • Experience deploying models using GPU in production environments

  • Experience working with physical servers

Interview process

  • A quick phone call with one of the team

  • A short coding exercise to complete in your own time

  • Video Interview for 60-90mins

    •  Discuss the exercise you completed

    • Technical interview questions

    • Meet the team you’ll work with daily

  • 2x Onsite interviews for 30mins each 

    • Behavioural/culture interview

    • Any questions you have about the company, role, etc

Check out our blog

We also have an engineering blog where we have written in more detail about how we work in the engineering team.