Staff Machine Learning Engineer

Location
London - The River Building HQ
Employment Type
Full time
Department
Deliveroo Cost Center Hierarchy, Technology, Technology, Machine Learning, Machine Learning (Consumer), Machine Learning (Consumer)
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 and we’ll be happy to help ensure a fair experience.
Ready to help build intelligent systems that power Deliveroo at scale? Apply today.
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