Machine Learning Platform Engineer

About Machine Learning Platform Engineering at Monzo

The Platform Collective builds and maintains the infrastructure, tools and processes that sets the rest of Monzo technology teams up for success. We work on a wide range of shared infrastructure, services and engineer 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 at scale.

Our 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 magically simple solutions.

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 there’s no pressure to come into the office, even if you're nearby. We believe you'll 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 schedule time together often for work and play – in or around the office, or online.

What you'll be working with:

We rely heavily on the following tools and technologies, please note direct experience in these technologies is not required and our interview process can be completed in any language:

• 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
• Kubernetes to run our workloads
• 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
• Envoy Proxy for our RPC service mesh

We’d love to hear from you if...

• 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

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.

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 (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 £1,000 a year for books, training courses and conferences
• ➕And much more, see our full list of benefits here