About the job
Join Our Team as a Staff Machine Learning Engineer
Become an integral part of Deliveroo’s mission to revolutionize the shopping and dining experience with a focus on impact, innovation, and growth. Our talented Engineering teams tackle intricate technical challenges within a global, three-sided marketplace, developing and scaling systems that cater to millions of customers, riders, and partners daily.
From advanced real-time logistics to robust infrastructure and marketplace optimization, we create and manage the technology that fuels Deliveroo’s expansive growth.
We are seeking a Staff Machine Learning Engineer to join our dynamic London team (working in a hybrid model, 3 days in the office). In this pivotal role, you will design and construct intelligent decision-making systems that operate at a large scale, directly influencing the experiences of consumers, riders, and merchants.
Explore our Engineering team and discover our motivations, work culture, and what you can expect as part of our community.
Your Responsibilities
Join the Consumer Pricing team to tackle complex pricing challenges at Deliveroo. We are advancing towards dynamic, personalized pricing strategies that take into account consumer behavior, loyalty programs, and real-time market conditions.
Your daily tasks will include:
Designing and developing high-performance machine learning and optimization systems that guide Deliveroo’s core decisions at scale.
Leading the technical advancement of our pricing infrastructure, resolving architectural bottlenecks and integrating enhanced model inputs and decision variables.
Creating algorithms to enhance real-time marketplace efficiency, including personalized elasticity models and delivery time forecasts.
Collaborating closely with Product Managers and Data Scientists to convert complex business challenges into effective algorithmic solutions.
Providing technical leadership across various product domains, identifying and prioritizing high-impact algorithmic enhancements.
Mentoring and guiding fellow engineers, elevating technical standards and advancing our machine learning and optimization practices across the company.
Qualifications for Success
The ideal candidate will possess strong expertise in several of the following areas, along with a desire to grow in others:

