Machine Learning Platform Engineer

Were on a mission to make money work for everyone.

Were waving goodbye to the complicated and confusing ways of traditional banking.

After starting as a prepaid card our product offering has grown a lot in the last 10 years in the UK. As well aspersonal and business bank accounts we offer joint accounts accounts for 16-17 year olds a free kids account and credit cards in the UK with more exciting things to come beyond. Our UK customers can also save invest andcombine their pensions with us.

With our hot coral cards and get-paid-early feature combined with financial education on social media and our award winning customer service we have a long history of creating magical moments for our customers!

Were not about selling products - we want to solve problems and change lives through Monzo

London / UK Remote Incentive Awards tied to your performance Benefits

About Machine Learning Platform Engineering at Monzo

The Machine Learning Platform team builds the systems that help teams across Monzo train evaluate deploy and serve ML models and AI features safely and reliably.

We work on backend services Python libraries model lifecycle tooling evaluation workflows and low-latency serving systems. Our users are internal ML engineers scientists and product teams building with ML and LLMs.

The work matters because machine learning powers many important decisions and experiences at Monzo from fraud checks and credit decisions to customer operations. We help teams move faster while keeping production systems reliable observable and safe.

This is a platform engineering role in the ML and AI space. Were looking for someone who combines strong software engineering foundations with ML or AI context and who enjoys building tools and systems for other engineers.

What youll be working with...

• Go for backend services platform APIs and production systems
• Python for libraries workflows and tooling used by our ML engineers and scientists
• Feature platforms and data workflows using Chronon Feast and DataHub
• Model training pipelines and experiment tracking using Vertex AI and Comet
• AI observability evaluation and tracing using Langfuse and Bifrost
• AWS for real-time serving and online inference GCP for batch compute and our BigQuery data warehouse.

(Please note direct experience with all of them is helpful but not required and our interview process can be completed in any language).

Wed love to hear from you if...

• You combine solid backend engineering with real ML or AI platform experience (ML pipelines feature stores model serving experiment tracking or LLM tooling)
• Youve designed and operated distributed systems that handle scale concurrency and failure
• You think like a platform engineer focused on developer experience and removing friction for internal teams
• Youre happy working across both Go and Python
• You enjoy ambiguity and want to shape a platform as it grows
• You have experience with strongly typed languages writing and working on backend software
• Youre curious about how systems behave in production including reliability latency quality safety and operational risk

This might NOT be the right fit if...

• Your background is predominantly SRE DevOps or infrastructure operations
• Youre focused on data science or modelling
• Youve shipped AI product features but havent worked on the platform side (serving evaluation model lifecycle)

Levels

Were on the look out for Engineers of varying levels at the moment. You can read more in our Engineering Progression Framework - we will interview you across the entire framework so if you are not sure what level you are aiming for please chat to your recruiters!

About our Engineering Teams

We have around 600 engineers out of roughly 5000 people in total - and we have big ambitions. There are many interesting challenges ahead and were happy for people to move between teams or to specialise whatever you prefer. As an engineer here youd be able to work directly with anyone across the company and we run regular knowledge-sharing sessions so youll learn heaps about everything from how banks work to effective communication.

We contribute to open source software as much as possible. Our blog is a good place to learn even more about what we do.

How we work

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 theres no pressure to come into the office even if youre nearby. We believe youll do your best work if you are where you want to be. If you live outside of London and we ask you to come into the office Monzo will support you with the costs

Our offices are naturally social especially Tuesdays Wednesdays and Thursdays which happen to line up with our twice-weekly Monzo lunches & treat Thursdays

Teams also often schedule time together for work and play whether in or around the office or online.

Set up a work schedule that delivers impact and fits your life

At Monzo we value connections flexibility and wellbeing. We keep our meetings during core hours to stay connected and believe in maintaining work/life balance.

Youll be empowered to manage your work in a way that suits you and your team giving you the freedom for children drop-offs and pick-ups walking your dog or adventurous cat avoiding peak commuting times or gym slots appointments or supporting your family in an emergency

If you prefer to work part-time well make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

The Interview Process

Our interview process involves three main stages:

1. Initial Call
2. Take home task or pair coding exercise
3. 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.

One of our engineers has written a detailed blog on their experience through this process for extra details hints and tips please see here.

Whats in it for you

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 were open to distributed working within the UK (with ad hoc meetings in London).
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 1000 a year for books training courses and conferences
And much more see our full list of benefits here

Equal opportunities for everyone

Diversity and inclusion are a priority for us and were making sure we have lots of support for all of our people to grow at Monzo. At Monzo were 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. You can read more in our blog 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report.

Were 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.

If you have a preferred name please use it to apply. We dont need full or birth names at application stage