Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build intelligent machine learning systems that shape consumer experiences.
- Company: Join Deliveroo, a leader in transforming shopping and eating experiences.
- Benefits: Enjoy high autonomy, mentoring support, and a vibrant data science community.
- Why this job: Make a real impact in a fast-paced global marketplace with innovative solutions.
- Qualifications: Strong foundations in machine learning and proven experience in impactful algorithms.
- Other info: Diverse and inclusive workplace where you can thrive and be yourself.
The predicted salary is between 48000 - 72000 £ per year.
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)
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.
Staff Machine Learning Engineer in London employer: Deliveroo
Contact Detail:
Deliveroo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Deliveroo. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for those technical interviews! Brush up on your machine learning concepts and be ready to discuss your past projects. We want to see how you think and solve problems, so practice explaining your thought process.
✨Tip Number 3
Show off your passion for the role! When you get the chance to speak with recruiters or during interviews, let them know why you're excited about the Staff Machine Learning Engineer position and how you can contribute to their mission.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Deliveroo.
We think you need these skills to ace Staff Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Staff Machine Learning Engineer role. Highlight your experience in machine learning, optimisation, and any relevant projects that showcase your skills. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our goals at Deliveroo. Let us know what excites you about transforming the way people shop and eat.
Showcase Your Projects: If you've worked on any interesting machine learning projects, make sure to include them in your application. We love seeing real-world applications of your skills, especially those that have delivered measurable outcomes. It helps us understand your impact!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. This way, we can ensure your application gets the attention it deserves. Plus, it’s the best way to stay updated on your application status!
How to prepare for a job interview at Deliveroo
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning fundamentals, especially in areas like pricing and optimisation. Be ready to discuss how you've applied these concepts in real-world scenarios, as this role is all about designing impactful algorithms.
✨Showcase Your Problem-Solving Skills
Prepare to talk through complex business problems you've tackled in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how you turned challenges into effective technical solutions.
✨Communicate Like a Pro
Since you'll be working with both technical and non-technical folks, practice explaining your ideas clearly and concisely. Think about how you can influence stakeholders by translating complex ML concepts into simple terms.
✨Get Ready for Practical Tests
Expect a take-home assignment that tests your ML and system design skills. Familiarise yourself with Deliveroo's business model and think about how you would approach their specific challenges. This will help you stand out during the technical screen.
