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Platform Engineer, Machine Learning

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Monzo
Full Time position
Listed on 2026-06-06
Job specializations:
  • Software Development
    Software Engineer, Machine Learning/ ML Engineer, Data Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 78000 - 110000 GBP Yearly GBP 78000.00 110000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

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:

  • £78,000 - £110,000 base salary + Incentive Awards tied to your performance
  • We can help you relocate to the UK
  • We can sponsor visas
  • This role can be based in our London office, but we’re open to distributed working within the UK
  • We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team
  • Learning budget of £1,000 a year for books, training courses and conferences
  • And much more, see our full list of benefits
  • 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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