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Deliveroo • London - The River Building HQ

Staff Machine Learning Engineer

Employment type:  Full time
8.4

/10

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Job Description

Staff Machine Learning Engineer

Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. Our Data + Science organisation enables the highest quality human and machine decision making across Deliveroo’s three sided marketplace.

The Team

We’re looking for a Staff Machine Learning Engineer to join our Consumer Pricing team, working in a highly collaborative, cross-functional environment. In this role, you’ll design and build intelligent decision-making systems that operate at massive scale and directly shape the experience of consumers, riders, and merchants.

Pricing at Deliveroo is a complex, multi-dimensional problem. We are evolving towards more dynamic, personalised pricing strategies that consider consumer behaviour, loyalty programmes, promotions, and real-time marketplace conditions. Your team is at the heart of this shift. You'll build personalised elasticity models to understand how different customers respond to price changes.

You’ll also play a key role in modernising our pricing machine learning infrastructure, addressing legacy technical debt, and introducing richer model inputs and decision variables. The work combines large scale experimentation, incremental uplift modelling, and production ML systems that directly influence customer behaviour and business outcomes.

What You’ll Be Doing

You’ll be joining an autonomous, mission-driven team at the intersection of machine learning, optimisation, and real world decision-making. Your day to day might include:

● Designing and building production grade machine learning and optimisation systems that power Deliveroo’s core decisions at scale

● Developing algorithms to optimise rider assignment, delivery time predictions, pricing, and marketplace efficiency in real time

● Partnering closely with engineers, product managers, and data scientists to turn complex business problems into pragmatic algorithmic solutions

● Evaluating model and system performance through robust experimentation using our world class experimentation platform

● Providing technical leadership across multiple product areas, identifying and prioritising opportunities for high impact algorithmic improvements

● Mentoring and coaching other engineers and data scientists, raising technical standards and improving how we apply ML and optimisation across the business

What You’ll Need to Thrive

Our ideal candidate brings deep expertise in some areas and curiosity to grow in others:

● Strong foundations in machine learning and or operations research, with a clear understanding of when and how to apply each

● Deep expertise in one or two specialised areas such as pricing, forecasting, optimisation, NLP, meta heuristics, or large scale ML systems

● Proven experience designing and shipping impactful algorithms that deliver measurable business outcomes

● Ability to think holistically about business problems and translate them into simple, effective technical solutions

● Excellent communication skills, able to influence both technical and non-technical stakeholders

Why Join Us?

At Deliveroo, you’ll do work that matters, solving complex problems in a fast moving, global marketplace.

🔧 High autonomy to design, build, and ship systems with real world impact
🌱 Strong support for growth through mentoring, technical reviews, and a clear progression framework
📊 A vibrant data science community with knowledge sharing, guest speakers, and collaboration across disciplines
🌍 A diverse, inclusive workplace where you can be yourself and do your best work

The Interview Process

We aim to create a fair and transparent process that allows your skills to shine. For this role, the process typically includes:

● Recruiter Screen: An introductory conversation about your background and motivations

● Technical Screen: A deep dive into your experience

● Take Home Assignment: A timed ML and system design exercise grounded in Deliveroo problems

● Final Interviews: ML Theory, ML Practical (case study), Behavioural interview

Diversity, Equity and Inclusion

At Deliveroo, we believe a great workplace reflects the world we live in. We welcome candidates from all backgrounds regardless of gender, race, ethnicity, disability, sexual orientation, religion, or belief.

If you need any adjustments or support during the recruitment process, please contact accommodations@deliveroo.co.uk and we’ll be happy to help ensure a fair experience.

Ready to help build intelligent systems that power Deliveroo at scale? Apply today.

Company benefits

Open to compressed hours
Enhanced sick days
Open to part time work for some roles
Adoption leave
Private GP service – incl specialised menopause support
Buddy scheme
In house training
Mental health platform access
Wellbeing incentive programme
Company shutdown periods
Faith rooms
On-site gym
Emergency leave
Annual bonus
Referral bonus
Learning platform
Company freebies
Lunch and learns
Teambuilding days
Personal development days
Hackathons
Professional subscriptions
Employee assistance programme
Mentoring
Cycle to work scheme
Gym membership
Health insurance
Buy or sell annual leave
Enhanced maternity leave
Pregnancy loss leave
Enhanced paternity leave
Shared parental leave
Childcare credits
Family health insurance
Neo-natal leave
Meditation space
Enhanced pension match/contribution
Equity packages
Share options
Interest free loans
Travel loan
Deliveroo credits
Employee discounts
Cinema discounts
Personal development budgets
L&D budget
LinkedIn learning license
Pregnancy support
Fertility benefits
Enhanced pension match/contribution
Critical Illness Insurance
On-site massages
On-site shower
Bike parking
Meditation space
Modern office
Ergonomic workstations

Working at Deliveroo

Company employees:

5000

Gender diversity (m:f):

51:49

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