We’re on a mission to provide equitable access to economic opportunity, for everyone.We close critical skill gaps in the workforce through a new kind of apprenticeship that combines work and learning. We begin by recognizing high-potential individuals both inside and outside of a company’s current workforce and then we create applied, guided and equitable learning programs, with measurable impact. Because we believe the world needs a better way to match its potential.We work with over 1,500 leading companies including the likes of Microsoft, Citi and Just Eat to help solve their business-critical problems, and we’ve trained over 16,000 professional apprentices in the tech and data skills of the future. This is made possible by our global team who are driven to achieve a mission that matters, together.Join Multiverse and help us set a new course for work.The OpportunityAs a Lead Machine Learning Operations Engineer (MLOps), you will be responsible for developing and maintaining Multiverse’s Machine Learning pipeline – establishing, automating, optimising and securing data flows from, through and into multiple data sources that our AI Team will use to serve all parts of the business.This role will be within the AI Team, working closely with other ML Engineers, Data Scientists, ML Ops Engineers, Product Managers. While your primary focus will be on MLOps, you will also be asked to support the team with its broader Infrastructure & DevOps needs. The AI Team’s mission is to build the intelligence layer at Multiverse that fuels captivating educational experiences, drives effective and continuous digital transformation for enterprises, and empowers Multiverse coaches and operations with tools that scale our teaching capabilities.You will need to be methodical, analytical, creative and tenacious with very high attention to detail. And while this is a technical role, our team culture is one where everyone is expected to collaborate well and take ownership of both deliverable & stakeholder management.What you’ll focus on:Driving strategic decisions around MLOps tooling, frameworks, and infrastructure as the AI teams need evolveDesigning, automating, developing and maintaining our infrastructure, pipelines, and development processes that enable greater operational efficiencyDeploying, managing, and optimising AI solutions in production environments, ensuring smooth integration and efficient operationsExperiment with data science and machine learning techniques to adapt AI solutions for production applicationsCreating systems for deployment, CI/CD, testing, and monitoringIdentify and address system integrity and security risksWhat we’re looking for:A proven track record of delivering complex ML infrastructure projects in productionDeep Experience with Azure, e.g. API management, ML stackExperience coding at production level with PythonStrong foundations in software engineering, building ML models, and DevOPsExperience with multiple cloud environments, PostgreSQL, GitHub, CircleCI/Jenkins (or similar), CI/CD and Infrastructure as Code (e.g. Terraform)Experience with model experiment trackingCommitment to Multiverse’s mission and valuesYou will most likely thrive and enjoy this role if:You have a meticulous attention to detailYou are an exceptional communicator (especially cross-functionally), with an ability to translate technical concepts to the appropriate level of detail to the right audienceTake a tenacious, curious, and pragmatic approach to problem solving, with a focus on generating usable and scalable outputsEnjoy having a lot of ownership to build services, processes, and infrastructure from scratchPride yourself in having a growth mindset, being coachable, and learning every dayHow we hireBenefitsTime off – 27 days holiday, plus 7 additional days off: 1 life event day, 2 volunteer days and 4 company-wide wellbeing days and 8 bank holidays per yearHealth & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Gympass and access to Spill – all in one mental health supportHybrid & remote work offering – with weekly or monthly visits to the London office and the opportunity to work abroad 45 days a yearTeam fun – weekly socials, company wide events and office snacks!Our commitment to Diversity, Equity and InclusionWe’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy .Right to WorkDo you have the right to work in the UK? Unfortunately, at this time we cannot offer sponsorship for this role and we cannot consider overseas applications.SafeguardingAll posts in Multiverse involve some degree of responsibility for safeguarding. Successful applicants are required to complete a Disclosure Form from the Disclosure and Barring Service (“DBS”) for the position. Failure to declare any convictions (that are not subject to DBS filtering) may disqualify a candidate for appointment or result in summary dismissal if the discrepancy comes to light subsequently.
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