Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day.
From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliverooâs growth at scale.
Weâre looking for a Staff Machine Learning Engineer to join our London team (working hybrid, 3 days in the office). In this role, youâll design and build intelligent decision-making systems that operate at massive scale and directly shape the experience of consumers, riders and merchants.
Youâll be joining the Consumer Pricing team. Pricing at Deliveroo is a complex, multi-dimensional problem; we are evolving towards dynamic, personalised pricing strategies that consider consumer behaviour, loyalty programmes and real-time marketplace conditions.
Hereâs what your day-to-day might look like:
Design and build production-grade machine learning and optimisation systems that power Deliverooâs core decisions at scale.
Lead the technical evolution of our pricing infrastructure, addressing architectural bottlenecks and introducing richer model inputs and decision variables.
Develop algorithms to optimise real-time marketplace efficiency, including personalised elasticity models and delivery time predictions.
Partner closely with Product Managers and Data Scientists to translate complex, ambiguous business problems into pragmatic algorithmic solutions.
Provide technical leadership across multiple product areas, identifying and prioritising opportunities for high-impact algorithmic improvements.
Mentor and coach other engineers, raising technical standards and improving how we apply ML and optimisation across the business.
Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others:
Significant experience in Machine Learning or Operations Research, with a deep understanding of when and how to apply each to commercial problems.
Proven track record of designing and shipping impactful algorithms that deliver measurable business outcomes in a production environment.
Demonstrated ownership of large-scale ML systems, particularly in specialised areas like pricing, forecasting, NLP or meta-heuristics.
Ability to think holistically about business problems, moving beyond technical implementation to influence long-term strategy and roadmap.
Excellent communication and stakeholder management skills, with the ability to influence both technical and non-technical leaders across the global organisation.
At Deliveroo, youâll do work that mattersâsolving real-world problems in a three-sided marketplace thatâs constantly evolving. Weâre food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:
đ§ Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day.
đą See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment.
đ§ Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support.
đ A culture built for builders High standards, collaboration, flexible working and continuous learning.
ââđ° Share in the success you help create Competitive salary and equity options, so youâre rewarded for the impact you make.
âĄď¸ Want a deeper look at how we build? Check out our Tech Blog.
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, weâre unlocking new possibilities as one global team.
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. Weâre 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 require any reasonable adjustments during the recruitment process, youâll have the opportunity to let us know once youâve submitted your application. Weâll share details on how to request support so we can ensure you have a fair and equitable experience.
If youâre excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, weâd love to hear from you!
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