Role overview
- Identify where ML can add the most value and make the case for it
- Build ML models (ranking, prediction, recommendations) to power platform insights
- Design and maintain ML infrastructure: feature stores, model serving, monitoring
- Collaborate with engineering to integrate models into the platform
- Private medical insurance
- Income protection insurance
- Life insurance of 4 base salary
- On-site gym and shower facilities
- Enhanced maternity and paternity pay
- Team social events and company parties
- Salary exchange on pension and nursery fees
- Access to Maji, the financial wellbeing platform
- Company stock options managed through Ledgy
- Milestone Birthday Bonus and a Life Events leave policy
- Generous holiday allowance of 28 days plus national holidays
- Home office and equipment allowance, and a company MacBook
- Learning allowance and leave to attend conferences or take exams
- YuLife employee benefits, including EAP and bereavement helplines
- For each new hire, we plant a tree through our partnership with Ecologi Action
- The best coffee machine in London, handmade in Italy and imported just for us!
We’re proud to be an equal opportunities employer and are committed to building a team that reflects the diverse communities around us. If there’s anything you need to make the hiring process more accessible, just let us know—we’re happy to make adjustments. You’re also welcome to share your preferred pronouns with us at any point.
Think you don’t meet every requirement? Please apply anyway. We value potential as much as experience, and we know that raw talent counts.
As part of our hiring process, we’ll carry out some background checks. These may include a criminal record check, reviewing your credit history, speaking with previous employers and confirming your academic qualifications.
Tags & focus areas
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