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Ansök senast: 2024-09-29
Machine Learning Engineer / Researcher
Publicerad 2024-07-31
Machine Learning Engineer / Researcher
LondonUser Insight – Data /Full Time /HybridApply for this jobMoneybox has recently started investing in shoring up our intelligence-driven content curation in the app and building our personalisation programme to make the app more relevant to customers. As part of our efforts to ramp up personalisation, we’re looking at how we can better support customers by offering them intelligent solutions that can help navigate them and build their confidence at scale. As an ML engineer in Moneybox you would be working on a self-contained project to utilise LLM’s to provide support and recommendations to customers at critical points in their home buying and wealth building journeys. This is a groundbreaking exploratory project we’ll be running for multiple years as we work on the rest of our ML suite in the background, to test the limits of what we can do with unbounded and bounded models. Coming into Moneybox - you would be embedded in our decision science team - looking to build a suite of models that can utilise unstructured data from the customer in order to produce generated content relevant to an appropriate stage in a customer journey. While we might be exploring chatbots as a delivery mechanism for this - the models wouldn’t be limited to that use case as part of our product roadmap. While this role will entail a lot of research - we don’t expect you to design new models from scratch, but rather to use, tweak and deploy existing foundational models.
What you'll do
Who you are
Experience and skills - essential
Experience and skills - not essential for the role, but will be counted as a plus
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