Platform Engineer, Machine Learning
Listed on 2026-06-06
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Software Development
Software Engineer, Machine Learning/ ML Engineer, Data Engineer, AI Engineer
About Machine Learning Platform Engineering at Monzo:
The Platform Collective builds and maintains the infrastructure, tools and processes that set the rest of Monzo technology teams up for success. We work on a wide range of shared infrastructure, services and engineering tooling. The Machine Learning Platform team sits within the Platform Collective and is responsible for designing, building, and maintaining the infrastructure and tools which empower our teams to train, evaluate, deploy, and serve Machine Learning models and features team is made up of backend engineers with experience in the ML space, using our experience and curiosity to work with the ML teams to identify their needs, and test and build simple solutions.
Locations & Flexible Working:
Our main tech hub is in London, but our engineers live everywhere in the UK—from Brighton to the Western Isles. We value meeting in person but there’s no pressure to come into the office, even if you’re nearby. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs.
What you’ll be working with:
- Go to write our application code (there’s an excellent interactive Go tutorial here), in platform we build services to manage parts of the platform
- Python to help build our machine learning models and develop features
- AWS and GCP to operate our platform. We use AWS for our primary banking platform and Google Cloud for our Data and Machine Learning platform
- Terraform is primarily how we manage any resources deployed into the cloud
- You have experience working with AWS and/or GCP
- You are a hands on engineer with experience in building Machine Learning pipelines and the platforms that support them
- You have experience working with Kubernetes
- You’d be excited to build a platform that enables success for everyone at Monzo
- You’re comfortable working in a team that deals with ambiguity
- You’re naturally inclined to solve problems through automation
You have some experience with strongly typed languages, writing and working on backend software - You’re curious about systems and diving deep to investigate issues
Interview Process:
Our interview process involves three main stages:
- Initial Call
- Take home task or pair coding exercise
- Final interview: including a system design and a behavioural interview
Our average process takes around 4 weeks but we will always work around your availability.
What’s in it for you:
Equal opportunities for everyone
Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. We can read more in our blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report.
We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
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