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Calyptus is recruiting on behalf of a client for a role owning the algorithms that decide what users see. You’ll design, build and ship end-to-end recommender and personalisation systems, collaborating with a Data Engineer and a small senior team to ship features quickly.
You’ll bring a strong ML/Data Science foundation and proven experience in productionising recommendations at consumer scale, with an emphasis on agentic tooling and modern LLM approaches to drive outcomes.
This role is being recruited by Calyptus on behalf of one of our clients.
Calyptus is a specialist recruitment partner helping startups and high-growth technology companies hire across engineering, product and design.
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You'll own the algorithms that decide what every user sees. That means designing, building and shipping recommendation and personalisation systems end-to-end — from problem framing and feature design through to production deployment, monitoring and iteration. You'll work alongside a dedicated Data Engineer who builds the pipelines and architecture underneath you, and you'll report into a small, senior team where your work goes live quickly.
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Every role advertised by Calyptus is a live position we’re actively recruiting for. Some clients prefer to remain confidential during the early stages of the hiring process. When that’s the case, certain company details may be shared later in the process.