At a Glance
- Tasks: Design and build recommendation systems that shape user experiences.
- Company: Join a dynamic startup with a focus on innovation and growth.
- Benefits: Competitive salary, career support, and opportunities in high-growth tech.
- Other info: Work in a small team with high autonomy and rapid deployment.
- Why this job: Make a real impact by personalising user experiences with cutting-edge AI.
- Qualifications: Experience in building recommendation systems and a strong ML foundation.
The predicted salary is between 59400 - 72600 £ per year.
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 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.
What we're looking for:
- 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.
Why work with Calyptus?
- Access opportunities with ambitious startups and high-growth technology companies.
- Direct support from experienced specialist recruiters.
- Honest feedback and clear communication throughout the hiring process.
- Long-term career support, not just a single job application.
AI Engineer, Personalisation & Recommendations employer: Calyptus
Calyptus is an exceptional employer for Senior Backend Engineers, offering a dynamic work environment where innovation thrives. With a focus on ambitious startups and high-growth technology companies, employees benefit from direct support from experienced recruiters, fostering both personal and professional growth. The collaborative culture encourages mentorship and the opportunity to shape cutting-edge AI-powered investment tools, making it a rewarding place to advance your career.
