Machine Learning Engineer
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Requirements
• 3+ years' experience as an ML Engineer or Data Scientist • 3+ years' experience writing production code in Python • Experience using tools like Git, Docker, Kubernetes, CircleCI • Solid understanding of ML fundamentals, including supervised learning, ranking, or recommendation systems (experience in Ad-Tech is a plus). • You have a bias for simplicity and a focus on shipping work that drives measurable business impact. • Strong communication skills and the ability to work effectively in a collaborative, cross-functional team. • Experience mentoring others in the team.
Responsibilities
• You’ll be joining the Ads Machine Learning team. We are a high-impact group responsible for the in-house models powering Deliveroo's advertising products, focusing on ad ranking, automated bidding, and contextual bandit-based personalisation. • Own the end-to-end lifecycle of machine learning models used in Ads ranking, bidding, and relevance systems, from initial design to productionisation. • Build robust infrastructure for monitoring, evaluation, and alerting to detect model drift or performance issues in high-throughput pipelines. • Collaborate cross-functionally with Product Managers and Engineers to translate complex advertising challenges into scalable ML solutions. • Embed models into low-latency systems by partnering with data scientists and engineers to ensure seamless production integration. • Champion technical excellence by following best practices for ML quality, reliability, and maintainability across the team.
Benefits
• At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: • 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. • 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. • 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. • 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. • ➡️ Want a deeper look at how we build? Check out our Tech Blog. • We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. • Our Global Structure • Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. • Diversity, Equity and Inclusion • At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. • We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. • If you have a disability or long-term health condition and need support to apply for one of our roles, or if you require any reasonable adjustments during the recruitment process, please contact our recruitment team at accommodations@deliveroo.co.uk and we’ll be happy to help ensure you have a fair and equitable experience. • If you’re excited about solving meaningful problems at scale and growing with a supportive team, we’d love to hear from you.