AI engineer for recommendation systems

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.

• 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

• 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
• Будет плюсом: 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

• Условий в вакансии нет