Engineering Manager, Machine Learning Platform

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Engineering Manager, Machine Learning Platform

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Monzo BankEngineering Manager, Machine Learning PlatformJoin to apply for the

Engineering Manager, Machine Learning Platform

role at

Monzo BankWere waving goodbye to the complicated and confusing ways of traditional banking.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!London or Remote (UK) | Base salary for this role is 110,500 - 145,000 (depending on experience) + stock options + BenefitsEngineering Manager, Machine Learning PlatformEngineering Management At MonzoEngineering 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 MonzoThe 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.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.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. Partnering with senior engineers in your area to drive technical initiatives that raise the bar for our engineering practices.Collaborate with the wider engineering and data organisation to contribute to company-wide best managerial and technical practices and standards.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:Its a bonus if you have experience working in an experimentation led environment.Is able to input, understand and challenge engineering decisions - but to empower the team to make those decisions themselvesLocations and 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. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs.Teams also schedule time together often for work and play in or around the office, or online.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.Initial Call Interview (1 hour) You''ll meet with one of our Senior Engineering Managers or Engineering Directors. Team and Org Management (1 hour) An example based interview with 1-2 of our engineering leaders. 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.