Senior Platform Engineer, Machine Learning

Monzo; London, Cardiff; Hybrid; GBP 95,000 - 130,000; Full time

Job summary

A leading financial technology company is seeking a Senior Platform Engineer specializing in Machine Learning. This position offers flexible working arrangements, competitive salary, and the opportunity to work on innovative banking solutions. Responsibilities include designing infrastructure for Machine Learning models and collaborating with teams across the platform. Candidates should have experience with cloud technologies and a passion for problem-solving.

Benefits

Learning budget of £1,000 a year

Visa sponsorship

Flexible working hours

Opportunity to relocate to the UK

Qualifications

• Experience in building Machine Learning pipelines and supporting platforms.
• Hands-on experience with AWS and/or GCP.
• Comfortable working in a team that deals with ambiguity.

Responsibilities

• Design, build, and maintain infrastructure for Machine Learning models.
• Collaborate with teams to identify needs and deliver solutions.
• Manage deployment of ML models and features at scale.

Skills

Go

Python

AWS

GCP

Kubernetes

Machine Learning pipelines

Problem-solving

Tools

Terraform

Job description

Senior Platform Engineer, Machine Learning

Cardiff, London or Remote (UK); London

We’re on a mission to make money work for everyone.

We’re waving goodbye to the complicated and confusing ways of traditional banking.

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!

We’re not about selling products - we want to solve problems and change lives through 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. 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
• 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

We're on the look out for L50 Engineers at the moment, you can read more in ourEngineering Progression Framework - we will interview you across the whole frame work, 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 do have any specific questions ahead of this please contact us on [e-mail]

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:

️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

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 at Monzo. 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

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