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 Senior Machine Learning Platform Engineer to join our London (hybrid) team. In this role, youâll help us build a state-of-the-art platform that enables our machine learning engineers and data scientists to train, validate, and deploy models at scale.
Get to know our Engineering team â what drives us, how we work, and what you can expect.
Youâll be joining the Machine Learning Platform team. We work on the tooling and best practices that supercharge ML at Deliveroo, ensuring our models can iterate quickly and deploy reliably to production.
Hereâs what your day-to-day might look like:
Design and drive the direction for the centralised machine learning platform that powers all of Deliveroo's business decisions.
Build and scale infrastructure for training and deployment pipelines, model serving, and feature stores using tools like Metaflow and Kubernetes.
Collaborate with product and platform teams to build standardised tooling capabilities that drive MLOps practices across the entire company.
Develop libraries and best practices to make the ML ecosystem more accessible, reliable, and easier to use for our internal engineering partners.
Automate and document platform operations, turning complex learnings into repeatable actions and self-healing systems.
Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others:
Significant experience writing high-quality code in Python and Go (or a proven ability to master new languages if coming from a strong backend background).
Demonstrated ownership of ML infrastructure, including familiarity with modelling frameworks like TensorFlow, Scikit-Learn, or PyTorch.
Strong Infrastructure as Code skills, ideally with Terraform, and experience managing containerised workloads on AWS (EKS, ECS, or Lambda).
Proven ability to collaborate across teams, working with PMs and Data Scientists to translate complex requirements into scalable platform features.
Knowledge of distributed services and event streaming, specifically using Kafka for real-time data processing.
A passion for the ML Platform area, including a keen interest in the evolving landscape of LLMs and MLOps.
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.
We aim to create a fair process that lets your skills shineâour interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage.
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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