Machine Learning Engineer Operational Research (London)

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Machine Learning Engineer Operational Research

Job ID: R17416

Science & Analytics

London - The River Building HQ

Permanent

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Machine Learning Engineer - Operational Research

The Data + Science Team

At Deliveroo, we have a world-class data & science organization dedicated to enabling high-quality human and machine decision-making. Our team includes over 200 Machine Learning Engineers, Data Scientists, Data Analysts, and Analytics Engineers working across product, business, and platform teams.

We foster a strong data science community with guest lectures, a robust technical review process, a clear career progression framework, and numerous learning opportunities.

The Role

You will develop algorithmic and machine-learning systems that power Deliveroos delivery network. Working in a cross-functional team with engineers, data scientists, and product managers, you will develop systems that make automated decisions at a large scale. Our team tackles interesting problems at the intersection of riders, consumers, and restaurants, evaluating performance through our experimentation platform.

Your responsibilities may include:

You will also collaborate with teams working on:

You will report to an ML/OR Manager. This is a hybrid role based in London.

Requirements

About Deliveroo

Our mission is to be the definitive food company, transforming how the world eats by making food more accessible. We are a technology-driven company at the forefront of a rapidly expanding industry, valuing autonomy, innovation, and impact. We prioritize employee welfare and offer benefits including healthcare, parental leave, pensions, and generous leave allowances, tailored by country.

Diversity & Inclusion

We believe in a diverse workplace that reflects the world we live in. We welcome applicants regardless of gender, race, sexuality, religion, or personal traits. We are committed to equitable hiring and interview processes and will provide adjustments as needed.

Benefits

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Location:
London
Job Type:
FullTime

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