Machine Learning Engineer - Payments & Fraud
London
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 Cleo
Most 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 spending
* Enhanced user activation experience
* Growing user acquisition & engagement across our products
Responsibilities:
* 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 models
* Finding opportunities for model and product improvements in Cleo's extensive datasets of chat conversations, spending patterns, and app interactions
* Experience in data science, machine learning engineering, or related roles
* Familiarity with deep learning and/or recommender systems
* Sound understanding of how the models you build drive user and business impact
* Proficient in Python programming and able to write moderate to complex SQL queries
* Strong ability to communicate findings to non-technical stakeholders
* Experience deploying machine learning models into production; familiarity with Docker containers and container orchestration tools is a plus
Benefits:
* 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo)
* 6% employer-matched pension in the UK
* Private Medical Insurance via Vitality, dental cover, and life assurance
* Enhanced parental leave
* 1 month paid sabbatical after 4 years at Cleo
* Regular socials and activities, online and in-person
* We'll pay for your OpenAI subscription
* Online mental health support via Spill
UK 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.
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