Machine Learning Engineer

Join Zoopla, and help us reimagine the property industry!

Our vision is to digitise the entire home owning and buying experience.

Over the past two years, we’ve doubled our team and began to create a new suite of products that are already delivering results for our estate agents.

Our salaries and bonuses are competitive, and our exceptional employee benefits are rated 4.4/5 on review sites.

We’re on a journey to scale Zoopla Data Science

Zoopla is looking for a Machine Learning Engineer to join our growing Data Science team. As a Machine Learning Engineer, you will be working alongside an existing team of five data scientists, as well as a data engineering team, to productionise and deploy data science models. Data Science is at the heart of many of Zoopla’s products and is an area of strategic focus for the company. Hence, we are looking for an outstanding engineer who is excited about the abundance of data that Zoopla has access to and the opportunities for deploying machine learning algorithms using the best tools for the job.

What will you be doing?

• Design and create the pipelines and infrastructure to deploy data science models at scale
• Create the tools, frameworks and libraries that will enable the acceleration of our Data Science product delivery
• Help data scientists convert PoCs into production code
• Drive improvements to our current ML infrastructure in terms of process, performance and testing
• Help Zoopla develop the best ML Ops standards, to be spread across the whole business
• Work collaboratively with fellow data scientists and data engineers
• Communicating complex ideas and solutions in clear, precise and accessible ways

We are looking for someone with:

• An advanced degree in Computer Science, Mathematics, Physics or other quantitative discipline
• Strong Python experience and knowledge, with the ability to write stable, scalable and maintainable code
• Strong understanding of machine learning applications, development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps
• Comfortable working with Docker and containerised applications
• Experience with data science Python libraries such as Sckit-learn, Panda, NumPy, Tensorflow etc.
• Hands-on experience working with Airflow or similar orchestration platforms
• Experience using AWS or similar cloud computing platform
• Familiar with developing infrastructure as code (e.g. CloudFormation, Terraform)
• Great communicator and a team player who cares about accelerating not only Zoopla’s technical capabilities, but also empowering colleagues

Benefits

• Everyday Flex - greater flexibility over where and when you work
• 25 days annual leave + extra days for years of service
• Day off for your birthday, house move, good deed day, and digital detox day
• Cycle to work and electric car schemes
• Free Calm App membership
• Enhanced Paternity Leave
• Fertility Treatment Financial Support
• Group Income Protection and private medical insurance
• Gym on-site in London – or membership in regional offices
• 7.5% pension contribution by the company
• Discretionary annual bonus up to 10% of base salary
• Talent referral bonus up to £5K