AI Engineer - Personalization & Recommendations

Calyptus Ai — United Kingdom · Posted ~11 hours ago

Skills

Machine learning Recommendation systems Personalization Feature engineering Production deployment Monitoring Algorithm development

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Summary ✨ AI‑Generated

An AI engineering role centered on building personalization and recommendation systems end-to-end. You will frame machine learning problems, design features, develop and deploy algorithms, and continuously monitor and improve their production performance. You will work closely with a dedicated data engineering function responsible for underlying pipelines and architecture.

Highlights

End-to-end ownership of personalization and recommendation algorithms, from problem framing and feature design through production deployment, monitoring, and iteration. The role offers close collaboration with data engineering and substantial ownership of user-facing machine learning systems.

Description

About this opportunity 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. What to expect We’ll review your application and, if your experience is a strong match, one of our team will be in touchWe’ll support you throughout the interview process and keep you updated at each stageIf this particular role isn’t the right fit, we may consider you for other relevant opportunities with our clients______________________________________________________ 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. What you'll do Design and productionise recommendation engines and personalisation algorithms for a consumer-facing platformTake models from experiment to production, and own their performance once they're thereDecide what signals matter, and work with the Data Engineer to get them modelled and availableRun experiments and measure real impact on user behaviour, not just offline metricsApply modern agentic and LLM-based approaches where they genuinely improve outcomes What we're looking for Demonstrable experience building and productionising recommendation systems or personalisation algorithms for apps or websites — shipped, live, used by real usersA genuine Machine Learning and Data Science foundation — you were solving these problems before the ChatGPT era, not just calling APIsBackground from a consumer platform where behavioural data is the core asset — social platforms, marketplaces, travel, large-scale consumer techComfortable operating as an IC in a small team with high autonomyAI-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 personalisationExperience at a company that scaled from Series B through C/D/ETravel sector experience______________________________________________________ Genuine opportunities 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. Why work with Calyptus? Access opportunities with ambitious startups and high-growth technology companiesDirect support from experienced specialist recruitersHonest feedback and clear communication throughout the hiring processLong-term career support, not just a single job application We look forward to hearing from you.