Machine Learning Engineering Manager, Cleo AI

• Extensive experience building and deploying Machine Learning models to production
• Experience managing and developing high performing teams of data scientists and ML engineers
• Habits of keeping abreast of the latest research and experimenting productively with new technologies, including LLMs and LLM agent design
• Experience owning an ML roadmap, driving new ideas through to seeing business impact
• Ability to write production quality Python code and a willingness to be somewhat hands on

Desirable

• Youʼll join the existing Risk Decisioning data science function here at Cleo; a thoughtful and collaborative team of ML engineers, analysts, and data engineers with significant industry experience that is at the heart of everything we do at Cleo. Youʼll build and deploy production models that developers will feed directly into the product
• This position is essential in the expansion of both product and business. We are highly data driven, whether that be understanding natural language, deriving insights from financial data, or determining which financial product is best suited to a user. We have interesting problems to solve on an ever-increasing scale
• Youʼll be working on a hugely impactful workstream, focused on the machine learning that underpins our Chat feature. Youʼll be shaping how Cleo uses LLMs to have more engaging, accurate, and personalised conversations about money
• Understanding core problems faced by our Risk Decisioning team and coordinating the ML function’s contribution to solving them
• Finding opportunities for model and product improvements in Cleo's extensive datasets of customer behaviour
• Youʼll be responsible for people management of the ML engineers in your squads, coaching and developing them to deliver on the roadmap
• You’ll build out the headcount plan and will be responsible for all hiring and team development within your area to support our growth

• Interview with a Recruiter (30 mins)
• Interview with the Hiring Manager (30 mins)
• Python Programming Interview (45 mins)
• White-boarding session (60 mins)
• Technical Discussion (45 mins)
• Management Skills Interview (60 mins)