Description
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.
Responsibilities
•Design and productionise recommendation engines and personalisation algorithms for a consumer-facing platform
•Take models from experiment to production, and own their performance once they're there
•Decide what signals matter, and work with the Data Engineer to get them modelled and available
•Run experiments and measure real impact on user behaviour, not just offline metrics
•Apply modern agentic and LLM-based approaches where they genuinely improve outcomes
Requirements
•Demonstrable experience building and productionising recommendation systems or personalisation algorithms for apps or websites — shipped, live, used by real users
•A genuine Machine Learning and Data Science foundation — you were solving these problems before the ChatGPT era, not just calling APIs
•Background from a consumer platform where behavioural data is the core asset — social platforms, marketplaces, travel, large-scale consumer tech
•Comfortable operating as an IC in a small team with high autonomy
•AI-native in practice: fluent with agentic tooling and able to use it to move faster
Nice to have
•Experience applying agent-based approaches to recommendations or personalisation
•Experience at a company that scaled from Series B through C/D/E
•Travel sector experience
Conditions
Not specified in the posting.
