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A leading fintech company in the City of London is seeking an experienced ML Engineer to build and deploy machine learning applications that deliver actionable insights for SMEs. This role emphasizes model interpretability and guarantees trustworthy AI outputs. Flexible working options, alongside comprehensive benefits, make this an attractive role for talented individuals with a strong technical background in machine learning and NLP.
Allica is the UK’s fastest growing company - and the fastest-growing financial technology (Fintech) firm ever. Our purpose is to help established SMEs, one of the last major underserved opportunities in Fintech.
Established SMEs are the backbone of local communities - representing over a third of our economy - yet have been largely neglected both by traditional high street banks and modern fintech providers.
We’re building the next generation of intelligent financial tools for SMEs, starting with an AI-powered Treasurer. Our platform will give business owners real-time visibility across accounts, AI-native cashflow forecasting, and smart treasury optimisations — redefining how small and medium-sized businesses manage money.
As our ML engineer, you will:
Please note: This is a 12 month fixed term role with possibility to extend longer.
At Allica Bank we want to ensure our employees have the right tools and environment in which to succeed in their role and in support of our customers.
Our employees are at the heart of everything we do, so our benefits are designed with you in mind:
Don’t worry if you don’t have all the skills or requirements listed on the job description. If you think you’ll be a good fit, we’d still love to hear from you!
We know the ‘9-to-5’ isn’t right for everyone. That’s why Allica Bank is fully committed to flexible and hybrid working. Please let us know what is best for you and, if we can, we will do our best to accommodate.
We’re a diverse bunch here at Allica, with all kinds of experiences, backgrounds and lifestyles. Our openness and differences make us stronger, and we want everybody to feel comfortable bringing as much of themselves to work with them as they like.