Platform Engineer, Machine Learning

<div class="content-intro"><p><strong><em>🚀 We’re on a mission to make money work for everyone.</em></strong></p> <p>We’re waving goodbye to the complicated and confusing ways of traditional banking.</p> <p>After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as&nbsp;<a href="https://monzo.com/current-account/personal&quot;&gt;personal&lt;/a> and <a href="https://monzo.com/business-banking&quot;&gt;business&lt;/a> bank accounts, we offer <a href="https://monzo.com/current-account/joint-account&quot;&gt;joint accounts</a>, <a href="https://monzo.com/current-account/16-17&quot;&gt;accounts for 16-17 year olds</a>, a <a href="https://monzo.com/current-account/under-16s&quot;&gt;free kids account</a> and <a href="https://monzo.com/flex&quot;&gt;credit cards</a> in the UK, with more exciting things to come beyond. Our UK customers can also <a href="https://monzo.com/savings&quot;&gt;save&lt;/a>, <a href="https://monzo.com/investments&quot;&gt;invest </a>and&nbsp;<a href="https://monzo.com/pensions&quot;&gt;combine their pensions</a> with us.&nbsp;</p> <p>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!</p> <p>We’re not about selling products - we want to solve problems and change lives through Monzo ❤️</p> <hr> <p>&nbsp;</p></div><p>📍London / UK Remote | £78,000 - £110,000 <em>+ </em><strong><em>Incentive Awards tied to your performance</em></strong><em> </em><em>&nbsp;+ </em><a href="https://monzo.com/careers/&quot;&gt;Benefits&lt;/a&gt;&lt;/p> <p><strong>About Machine Learning Platform Engineering at Monzo:</strong></p> <p><em>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.</em></p> <p><em>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.&nbsp;</em></p> <p><em>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. </em></p> <p><strong>How we work 💻</strong></p> <p><strong>Locations &amp; Flexible Working:&nbsp;</strong></p> <p>Our main tech hub is in London, but our engineers live everywhere in the UK— from Brighton to the Western Isles.&nbsp;</p> <p>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. ✨</p> <p>Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays, which happen to line up with our twice-weekly Monzo lunches &amp; treat Thursdays 🍽️. Teams also schedule time together often for work and play – in or around the office, or online.</p> <p><strong>What you'll be working with:&nbsp;</strong></p> <p><em>We rely heavily on the following tools and technologies, please note </em><strong><em>direct experience in these technologies is not required</em></strong><em> and our interview process can be completed in any language:</em></p> <ul> <li><a href="http://golang.org/&quot;&gt;&lt;em&gt;Go&lt;/em&gt;&lt;/a&gt;&lt;em> to write our application code (there’s an excellent interactive Go tutorial</em><a href="https://tour.golang.org/welcome/1&quot;&gt;&lt;em> here</em></a><em>), in platform we build services to manage parts of the platform</em></li> <li><em><a href="https://www.python.org/&quot;&gt;Python&lt;/a> to help build our machine learning models and develop features</em></li> <li><a href="http://kubernetes.io/&quot;&gt;&lt;em&gt;Kubernetes&lt;/em&gt;&lt;/a&gt;&lt;em> to run our workloads</em></li> <li><a href="http://aws.amaz