Engineering Manager, Machine Learning Platform
Join to apply for theEngineering Manager, Machine Learning Platformrole atMonzo Bank
Engineering Manager, Machine Learning Platform
2 days ago Be among the first 25 applicants
Join to apply for theEngineering Manager, Machine Learning Platformrole atMonzo Bank
Get AI-powered advice on this job and more exclusive features.
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
- Taking accountability for delivery across your squad(s), collaborating with the Technical Lead and the Machine Learning and Data discipline within Monzo to ensure the right projects are being built, and that the platform is being meaningfully adopted and driving positive outcomes.
- Actively fostering a high bar for engineering excellence within your teams. Youre accountable for the technical outcomes your teams deliver alongside individual engineer performance and growth, so holding a high bar (and clearly articulating your expectations) is key.
- You will lead a team of 5-7 engineers, fostering their professional growth through regular 1:1s and ongoing feedback. Additionally, you will oversee the recruitment and expansion of your team as needed.
- Partnering with senior engineers in your area to drive technical initiatives that raise the bar for our engineering practices.
- Leading on communication with stakeholders from other teams, creating focus space for engineers to do their best work.
- Collaborate with the wider engineering and data organisation to contribute to company-wide best managerial and technical practices and standards.
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 andhas 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:
- Is comfortable operating with ambiguous problem areas with a high degree of autonomy.
- Its a bonus if you have experience working in an experimentation led environment.
- Has delivery experience and is able to guide the squads in achieving their outcomes.
- Focuses on outcomes over processes, who optimises for the highest impact and leverage.
- Is able to input, understand and challenge engineering decisions - but to empower the team to make those decisions themselves
- Has an understanding of what good looks like for a high-performing team of engineers and ability to chart a course to get there
- Is able to to coach people to achieve their goals
- Has a natural ability to inspire and motivate a team
We consider your application across all open EM roles at Monzo independent of which role you've applied for, soif 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:
- Initial Call Interview (1 hour) You'll meet with one of our Senior Engineering Managers or Engineering Directors. They'll ask you about your previous experience, in particular people leadership, product delivery and technical leadership. Theyll ask example based questions (Tell me about a time when)
- Loop Stage (3 hours 30 mins) The Loop stage consists of 3 x 60 min interviews that take place over 1-2 days (depending on your availability) and one 30 minute reverse interview (more details below).
The Loop is one stage, and the interviews in the Loop are:
- Team and Org Management (1 hour) An example based interview with 1-2 of our engineering leaders. Theyre interested to hear examples from your previous experience on the teams youve led, how youve shaped and partnered with product, and the impact you had.
- System Design (1 hour) You'll partner with a Staff or Principal Engineer on a technical whiteboarding exercise.
- Behavioural (1 hour) Similar to Team and Org Management, this is an example based interview with 1-2 Engineering Leaders. This interview focuses on your people leadership style and core behaviours as an Engineering Manager.
- Chat with an Engineering Leader (30 mins) At Monzo, we believe interviews are a two-way street. This will be your opportunity to ask us any questions about Monzo, engineering leadership or our teams whatevers on your mind.
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@
