Machine Learning Engineer (MLOps)LondonInsight – Data Analytics /Full Time /HybridApply for this jobAbout MoneyboxMoneybox, we believe that building wealth throughout life, and all of the freedom, opportunities, and peace of mind that come with it, should be possible for everyone.We launched in 2016 with our now-famous round-ups feature, and helped thousands of people start investing with just their spare change. Fast forward to today, and we’re now helping more than one and a half million people build wealth throughout their lives. Whether they’re saving and investing, buying their first home, or planning for retirement, our customers are guaranteed a service they can rely on, that supports them through every step, and celebrates with them along the way.While Moneybox is a wealth management platform, we’re guided by our belief that wealth isn’t about the money. It’s about the means to more – more freedom and possibility, more opportunities and more peace of mind.Job BriefIn the next chapter of Moneybox - we are building a comprehensive AI system - Moneybox Aurora - that helps guide users to achieve more, and to have confidence and peace of mind while doing it. The machine learning team sits at the forefront of this development. We develop both the ML models that power the “brain” of Aurora, but we also build the core decisioning frameworks that guide our users and ensure our systems are safe, reliable, and act in their best interests.We host all of our models internally. We develop using Databricks@Azure, and we deploy through Databricks, or directly on Azure Kubernetes Service (AKS).This role will work very closely with our ML engineering teams and with the SRE’s in our BE engineering teams to manage the infrastructure, observability, deployment and management of our in-production models. What you’ll doYou will work with other ML engineers to:Collaborate with ML researchers to refactor and productionize their models and algorithms, ensuring they meet our standards for performance, reliability, and maintainability.Streamline and optimize our deployment pipelines to enable fast and reliable delivery of new ML models.Develop challenger / champion testing frameworks and automated testsOptimise infrastructure to reduce cost and increase reliabilityMonitor the performance of the models and infrastructure and manage the alerting and integration with our business processesWork with the AI and decisioning team and Director of AI and Decision Intelligence to input into choices on objective functions, content strategy and wider data strategy to ensure good long-term ML outcomesWho you areHave experience in deploying production-ready solutions into production, serving at scale of millions of usersEnjoy optimising things and have an optimisation mindset when considering your problem solvesAre a systems thinker and enjoy figuring out a scalable solution that can fit an emerging systemThrive in a fast-paced startup environmentEager to learn new things and challenge your existing frameworksAre not scared of ambiguityExperience and Skills – Essential1 year of industry experience working in an MLE, ML Ops or applicable Dev Ops / Data Ops roleExperienced Python programmer with 2+ years of programming experience in a day-to-day settingExperience with Docker for deployment Experienced with Git or other version control systems - including automated testing and CI/CD patternsHave Cloud Platform Experience from any of the three public clouds (Azure, AWS, GCP) End to end understanding of ML concepts - while you won’t be doing model training yourself - we want you to understand the key concepts in Machine LearningExperience and Skills – not essential for the role, but will be counted as a plusExperience with Azure specifically, as our cloud platform of choiceExperience with Kubernetes (k8s) - as our current deployment patternExperience with PySpark or Databricks for data processing workloadsExperience with PyTorch, TensorFlow and other ML frameworksExperience with Datadog as a monitoring solution of choice, or any other monitoring framework (e.g. Prometheus, Grafana, or New Relic)Experience with managing infrastructure through TerraformWhats in it for you?Opportunity to join a fast-growing, award-winning and super ambitious business.Work with a friendly team of highly motivated individuals.Be in an environment where you are listened to and can actually have an impact.Thriving collaborative and inclusive company culture.Competitive remuneration package.Company sharesCompany pension schemeHybrid working environmentHome office furniture allowancePersonal Annual Learning and Development budgetPrivate Medical InsuranceHealth Cash Plan (cashback on visits to the dentist & opticians etc)Cycle to work schemeGympass subscription to a variety of gyms and wellbeing appsEnhanced parental pay & leave25 days holiday + bank holidays with additional days added with length of service.Our office is in London, by the Oxo TowerOur Commitment to DE&I:At Moneybox, we promote, support and celebrate inclusion, diversity and equity for all, so that everyone can bring their full selves to work. We believe that diversity drives innovation, and that if our team is representative of our community of customers, we can better support their needs. To ensure our recruitment processes provide an equal opportunity for all applicants to succeed, we encourage you to let us know if there are any adjustments that we can make. We are open-minded and always willing to go the extra mile to ensure all applicants can present their full self and potentialWorking Policy:We have a hybrid policy that includes 2 days from our London office and 3 from home. If the role states it is either hybrid or remote candidates must be based within the UK.Visa Sponsorship:At this time we cannot offer visa sponsorship for this role and we cannot consider overseas applications.Please read before you apply!Please note if offered a position, the offer is conditional and subject to the receipt of satisfactory pre-employment checks which we will conduct such as criminal record and adverse credit history checks. As a regulated financial business, an adverse financial history could impact your suitability for the role. If you are aware of anything that could affect your suitability for the role, please let us know in advance.By sending us your application you acknowledge and agree to Moneybox using your personal data as described below.We collect applicants’ personal data to manage our recruitment related activities. Consequently, we may use your personal data to evaluate your application, to select and shortlist applicants, to set up and conduct interviews and tests, to evaluate and assess the results, and as is otherwise needed in the recruitment process generally.We do not share your personal data with unauthorised third parties. However, we may, if necessary, share your personal data to carefully selected third parties acting on our behalf. This may include transfers to servers and databases outside the country where you provided us with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and in the United States of America.If you are unsuccessful in your application, we may keep your details on file so that we can tell you about other suitable vacancies which may be of interest to you when they arise in the future. If you would like to reach us then please email: talent@moneybox.com. If you would rather we did not keep your details on file, you can contact us at: DPO@moneyboxapp.comPlease read before you apply!By sending us your application you acknowledge and agree to Moneybox using your personal data as described below. We collect applicants’ personal data to manage our recruitment related activities. Consequently, we may use your personal data to evaluate your application, to select and shortlist applicants, to set up and conduct interviews and tests, to evaluate and assess the results, and as is otherwise needed in the recruitment process generally.We do not share your personal data with unauthorised third parties. However, we may, if necessary, share your personal data to carefully selected third parties acting on our behalf. This may include transfers to servers and databases outside the country where you provided us with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and in the United States of America.Please note if offered a position, the offer is conditional and subject to the receipt of satisfactory pre-employment checks which we will conduct such as criminal record and adverse credit history checks. As a regulated financial business, an adverse financial history could impact your suitability for the role. If you are aware of anything that could affect your suitability for the role, please let us know in advance.If you are unsuccessful in your application, we may keep your details on file so that we can tell you about other suitable vacancies which may be of interest to you when they arise in the future. If you would rather we did not keep your details on file, you can contact us at email: DPO@moneyboxapp.comYour application will be subject to criminal record and adverse credit history checks (such as CCJs, IVAs and bankruptcy). As a regulated financial business, an adverse financial history could impact your suitability for the role. If you are aware of anything that could affect your suitability for the role, please let us know.Apply for this job
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