ML Engineer, Growth & Personalisation — Hybrid + Equity

Deliveroo; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work (3 days in office)

Competitive salary

Equity options

Job summary

Deliveroo in London is hiring a Machine Learning Engineer to join our Global DoorDash Engineering team, working hybrid with 3 days in the office. You’ll contribute to growing monthly active users across groceries, retail and related verticals.

You’ll build ranking and personalisation models for vertical pages, blend new content into the homepage, and shape notification targeting to drive adoption of new verticals.

Qualifications

• 3+ years of ML Engineer or Data Scientist experience with production-grade Python.
• Experience with end-to-end model productionisation.
• Bias toward simplicity with a focus on impact.
• Background in personalisation, ranking or recommender systems; causal inference considered a plus.

Responsibilities

• Build and improve ranking models for vertical landing pages (grocery, retail).
• Design models that blend new-vertical content into a homepage built around restaurant ordering.
• Build personalisation models translating user behaviour into relevant recommendations for verticals.
• Contribute to notification targeting to drive adoption of new verticals.

Skills

Python

Model productionisation

Personalisation & ranking

Recommender systems (causal inference)

Tools

Python

Job description

Deliveroo in London is hiring a Machine Learning Engineer to join our Global DoorDash Engineering team, working hybrid with 3 days in the office. You’ll contribute to growing monthly active users across groceries, retail and related verticals.

You’ll build ranking and personalisation models for vertical pages, blend new content into the homepage, and shape notification targeting to drive adoption of new verticals.