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Deliveroo

Staff Machine Learning Engineer

Reposted 7 Days Ago
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In-Office
London, Greater London, England, GBR
Senior level
In-Office
London, Greater London, England, GBR
Senior level
As a Staff Machine Learning Engineer, you'll design production-grade ML systems, develop optimization algorithms, evaluate model performance, and provide technical leadership while mentoring other engineers.
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Staff Machine Learning Engineer

Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Global 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.

We’re looking for a Staff Machine Learning Engineer to join our London team as part of a Global DoorDash engineering team (working hybrid, 3 days in the office).

You’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the growth and personalization experiences at the heart of our fast-growing Core Deliveroo business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across grocery, convenience, and many other retail categories. You will demonstrate a strong command of production level machine learning, experience with solving end-user problems, and collaborate well with multi-disciplinary teams.

What You’ll Be Doing

You’ll be joining the Consumer Personalisation team. Personalisation sits at the heart of how customers discover, decide and shop, and is a key driver of consumer engagement, retention and long-term growth. Working across Deliveroo and the wider DoorDash engineering organisation, you’ll help shape intelligent, consumer-facing experiences that solve real customer problems at scale. This role spans a broad range of cutting-edge machine learning challenges, including modern recommendation and ranking systems, real-time decisioning as well as GenAI-powered experiences.

Here’s what your day-to-day might look like:

  • Design and build production-grade machine learning and optimisation systems that power Deliveroo’s core decisions at scale.

  • Partner with engineering and product leaders to help shape the product roadmap leveraging ML.

  • Provide technical leadership across multiple product areas, identifying and prioritising opportunities for high-impact algorithmic improvements.

  • Mentor junior team members, and lead cross functional pods to generate collective impact across the business.

What You’ll Need to Thrive

Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others:

  • Proven track record of designing and shipping impactful algorithms that deliver measurable business outcomes in a production environment.

  • Deep expertise in applied ML for Search/NLP/IR/RecSys - both classical and deep learning based. Additional familiarity with explore/exploit/MAB algorithms, LLMs, and causal inference techniques are a plus.

  • Machine learning background in Python; experience with PyTorch or TensorFlow preferred.

  • 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.

Why Join Us?

At Deliveroo and as a part of the DoorDash global Engineering team, 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. Working here you can expect to:

🔧 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.

🌎 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 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, Equity and Inclusion

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. 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, 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, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.

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

Top Skills

Data Science
Machine Learning
Nlp
Optimization

Deliveroo London, England Office

The River Building, Level 1, Cannon Bridge House, 1 Cousin Lane, London, United Kingdom, EC4R 3TE

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