Senior Platform Engineer, Machine Learning

Monzo; United Kingdom; Hybrid; GBP 95,000 - 130,000; Full time

Job summary

A leading fintech company is seeking a Machine Learning Engineer to join their team. This role involves designing and maintaining the infrastructure for Machine Learning models and collaborating with various teams. The ideal candidate has experience with AWS, GCP, and building Machine Learning pipelines. The position offers a salary of £95,000 - £130,000 and supports remote work within the UK.

Benefits

Flexible working hours

Learning budget of £1,000

Stock options

Support for relocation and visa sponsorship

Qualifications

• Hands-on engineer experience in building Machine Learning pipelines.
• Comfortable in a team that deals with ambiguity.
• Curious about systems and problem-solving through automation.

Responsibilities

• Design and maintain infrastructure for Machine Learning models.
• Collaborate with ML teams to understand their needs.
• Work with shared infrastructure and tools.

Skills

Experience with AWS

Experience with GCP

Building Machine Learning pipelines

Experience with Kubernetes

Backend software development

Tools

Go

Python

Terraform

Envoy Proxy

Job description

Overview

We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown over the last 10 years in the UK. As well as personal 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 and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and award-winning customer service, we have a long history of creating magical moments for our customers. We’re not about selling products - we want to solve problems and change lives through Monzo.

Hear from our UK team about what it’s like working at Monzo.

London / UK Remote | £95,000 - £130,000 + stock options + Benefits

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. 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 line up with our twice-weekly Monzo lunches and 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. 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)
• Python to help build our machine learning models and develop features
• Kubernetes to run our workloads
• AWS and GCP to operate our platform (AWS for our primary banking platform and Google Cloud for our Data and Machine Learning platform)
• Terraform is primarily how we manage 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

We’re on the lookout for L50 Engineers at the moment. You can read more in our Engineering Progression Framework. We will interview you across the whole framework, so if you are not sure what level you are aiming for please chat to your recruiters!

The 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. You will have the chance to speak to our recruitment team at various points during your process but if you have any questions ahead of this please contact tech-hiring at Monzo.

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

£95,000 - £130,000 base salary plus stock options

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

Equal opportunities

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 at 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. You can read more in our blog, 2024 Diversity and Inclusion Report and 2024 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.

If you have a preferred name, please use it to apply. We don’t need full or birth names at application stage.