Engineering Manager, Machine Learning Platform (London)

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Engineering Manager, Machine Learning Platform

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Engineering Manager, Machine Learning Platform

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Join to apply for the Engineering Manager, Machine Learning Platform role at Monzo Bank

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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 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 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

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

London or Remote (UK) | Base salary for this role is 110,500 - 145,000 (depending on experience) + stock options + Benefits

Engineering Manager, Machine Learning Platform

Engineering Management At Monzo

Engineering Managers at Monzo are part of cross-functional, autonomous teams and groups. Our teams are mission driven, and typically include Product Managers, backend, web and mobile engineers as well as data scientists, designers and subject matter experts relevant to that mission. Teams are organised into groups, and then collectives - we aim to keep our line management structure as shallow as possible, and for teams to directly own decision making relevant to their work.

The Engineering Manager role at Monzo is split into three pillars - people, product, and technical leadership. Engineering Managers are accountable for the technical and delivery outcomes for their area - that means supporting and developing best in class engineering talent, as well as creating an inclusive team environment for people to do their best work.

You can read more on the expectations of Engineering Managers on our Progression Framework.

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.

The Role

We are seeking an experienced leader in Machine Learning Platform Engineering to guide a team in developing a robust, scalable, and high-performance ML platform. This platform will cover the entire ML development lifecycle, including model experimentation, training, feature engineering, and serving at scale.

You will work closely with ML and Data, as well as the wider engineering discipline, to equip our teams with the tools and frameworks needed to effectively build, deploy, and scale ML-driven solutions.

Youll Spend Your Time

You Should Apply If

While this is not a role which requires hands-on-coding, we are looking for an experienced manager who has a strong technical and delivery background and has worked as a software engineer and has worked closely, in or with, ML Platforms in past roles.

We recognise that engineering managers lead in different ways, were looking for someone who:

We consider your application across all open EM roles at Monzo independent of which role you've applied for, so if you've recently applied to a similar role at Monzo and have been unsuccessful, please wait 6 months before applying again.

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 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.

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.

Work the way that works for you with Monzo!

The Interview Process

After an initial informal 30 min recruiting call, our interview process involves two main stages:

The Loop is one stage, and the interviews in the Loop are:

All things going well, you'll have completed the hiring process

Our average process takes around 3-4 weeks but we will always work around your availability. Youll have the chance to speak to our recruitment team throughout the process. If youd like to ask a question sooner, email tech-hiring@
Apply
Location:
London
Job Type:
FullTime

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