Machine Learning Engineer - Payments & Fraud London
The following information aims to provide potential candidates with a better understanding of the requirements for this role.We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.If there’s anything we can do to accommodate your specific situation, please let us know.About CleoMost people come to Cleo to do work that matters. Every day, we empower people to build a life beyond their next paycheck, building a beloved AI that enables you to forge your own path toward financial well-being.Backed by some of the most well-known investors in tech, we’ve reached millions of people to support them throughout their financial lives, from their first paycheck to their first home and beyond. We're hitting headlines too. This year, Forbes named us as one of their Next Billion Dollar Startups, and we were crowned the 'Hottest Tech Scaleup' at the Europas.You’ll join our existing Machine Learning team responsible for building and deploying production level models into Cleo’s products.Cross-collaboration is key at Cleo, which means long gone are the days of siloed centralised Data Science functions. As a Machine Learning Engineer at Cleo you will be an embedded part of a cross-functional team made up of engineers, product managers and analysts.You’ll primarily be leveraging advanced Natural Language Processing and Generative AI techniques to make Cleo more intelligent and improve our chatbot utility across a multitude of interesting use cases:Enabling deeper understanding of our users' financial situations and goals using transaction-level NLP to aid stronger coachability on saving and spendingEnhanced user activation experienceGrowing user acquisition & engagement across our productsResponsibilities:Training or fine-tuning machine learning models, and collaborating with the engineering team to integrate them into Cleo’s product.A wide range of ML tasks: classification, recommender systems, generative modelsFinding opportunities for model and product improvements in Cleo's extensive datasets of chat conversations, spending patterns, and app interactionsExperience in data science, machine learning engineering, or related rolesFamiliarity with deep learning and/or recommender systemsSound understanding of how the models you build drive user and business impactProficient in Python programming and able to write moderate to complex SQL queriesStrong ability to communicate findings to non-technical stakeholdersExperience deploying machine learning models into production; familiarity with Docker containers and container orchestration tools is a plusBenefits:25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo)6% employer-matched pension in the UKPrivate Medical Insurance via Vitality, dental cover, and life assuranceEnhanced parental leave1 month paid sabbatical after 4 years at CleoRegular socials and activities, online and in-personWe'll pay for your OpenAI subscriptionOnline mental health support via SpillUK App access:
The Cleo app is no longer downloadable in the UK (but only until next year). If you’re an existing user, you’ll still have access to the app. But some features won’t be available (just for a little while). Why? 99% of our users are based in the US – where financial health is often overlooked. We’ve decided to shift our focus to where we can provide the most value and make the greatest impact for users who need it most.Apply for this job * indicates a required fieldFirst Name *Last Name *Email *PhoneResume/CVAccepted file types: pdf, doc, docx, txt, rtfDo you require visa sponsorship in order to work in the UK? *What are your salary expectations? *LinkedIn Profile
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