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Deliveroo

Senior Software Engineer - Machine Learning Platform

London
Posted 2 days ago
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Senior Software Engineer - Machine Learning Platform

Senior Machine Learning Platform Engineer – London (Hybrid)

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 Deliveroo’s growth at scale.

We’re looking for a Senior Machine Learning Platform Engineer to join our London (hybrid) team. In this role, you’ll 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.


🔧 What You’ll Be Doing

You’ll 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.

Here’s 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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.


📌 What You’ll Need to Thrive

Our ideal candidate will bring strong expertise in the areas below and a curiosity to grow in others:

  • Significant experience writing high-quality code in Python and Go (or the 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 (e.g., EKS, ECS, or Lambda).
  • Proven ability to collaborate across teams, working with Project Managers (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 (Large Language Models) and MLOps.

✨ Why Join Us?

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.

What You Can Expect Here:

🔧 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.

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🌎 A culture built for builders High standards, collaboration, flexible working, and continuous learning.

💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make.

📖 Want a deeper look at how we build? Check out our Tech Blog.


⚖️ Our Process

Our recruitment typically includes 3-4 stages to let your skills shine. Explore our Engineering Interview Guide 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 & Inclusion

At Deliveroo, we know 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 or long-term health conditions
  • 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 or require reasonable adjustments during the process, don’t hesitate to let us know. We’ll ensure you have a fair and equitable experience.


Ready to make an impact?

If you’re excited about growing your career alongside ambitious, supportive teams and driving innovation in a fast-moving marketplace, we’d love to hear from you! 🚀

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Skills

Python
Go
Machine Learning
MLOps
AWS
Kubernetes
Terraform
TensorFlow
Scikit-Learn
PyTorch
Kafka
Infrastructure as Code
Model Serving
Feature Stores
Data Processing
Collaboration

Location

London, England, United Kingdom

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