At a Glance
- Tasks: Design and develop machine learning models for ad ranking, bidding, and personalisation.
- Company: Join Deliveroo's innovative Ads Machine Learning team.
- Benefits: Enjoy healthcare, generous leave, and support for charitable causes.
- Other info: Diverse workplace committed to equity and inclusion.
- Why this job: Make a real impact in a fast-growing industry with cutting-edge technology.
- Qualifications: 3+ years in ML engineering, strong Python skills, and a collaborative mindset.
The predicted salary is between 60000 - 80000 £ per year.
Machine Learning Engineer – Deliveroo Ads
Join us in our mission to enable the highest quality machine decision‑making at Deliveroo. As part of the Ads Machine Learning team, you will be central to maximising ad relevance, performance, and revenue. Our mission is to connect consumers with relevant ads and empower our partners (merchants, grocers, and FMCG brands) to grow their business.
The Team
The Ads ML team is a high‑impact group responsible for building and maintaining the in‑house Machine Learning models that power Deliveroo's advertising product. We focus on three core areas to drive company profitability and partner success:
- Ad Ranking & Relevance: Developing recommender systems to ensure customers see the most relevant ads.
- Automated Bidding: Building engines to manage advertiser bids automatically and optimise return on ad spend (ROAS).
- Personalisation: Rely on contextual bandit techniques to personalise user experience by dynamically adjusting the volume of ads visible to each customer.
You will:
- Own the design, development, and productionisation of machine learning models used in Ads ranking, bidding, and relevance systems.
- Build monitoring, evaluation, and alerting frameworks to detect model underperformance, drift, or unexpected behaviour in our production Ads pipelines.
- Partner closely with Product Managers and Engineers to turn complex advertising challenges into robust, scalable ML solutions.
- Work with data scientists and engineers across the company to productionise models and embed them into high‑throughput, low‑latency systems.
- Contribute to technical excellence within the team by following and setting best practices for ML quality, reliability, and maintainability.
Requirements
- 3+ years' experience as an ML Engineer or Data Scientist
- 3+ years' experience writing production code in Python
- Experience using tools like Git, Docker, Kubernetes, CircleCI
- Solid understanding of ML fundamentals, including supervised learning, ranking, or recommendation systems (experience in Ad‑Tech is a plus).
- You have a bias for simplicity and a focus on shipping work that drives measurable business impact.
- Strong communication skills and the ability to work effectively in a collaborative, cross‑functional team.
- Experience mentoring others in the team.
Workplace & Benefits
At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well‑being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country‑specific, please ask your recruiter for more information.
Diversity
At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest‑growing businesses in a rapidly growing industry. We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed.
Ads ML Engineer - Ranking, Bidding & Personalisation employer: Deliveroo
Deliveroo is an exceptional employer that prioritises the well-being and growth of its employees, offering a vibrant work culture where innovation thrives. As part of the Ads Machine Learning team, you will have the opportunity to work on impactful projects that enhance ad relevance and performance, while enjoying comprehensive benefits including healthcare, generous leave allowances, and a commitment to diversity and inclusion. With a focus on collaboration and mentorship, Deliveroo fosters an environment where your contributions directly drive business success and personal development.
StudySmarter Expert Advice🤫
We think this is how you could land Ads ML Engineer - Ranking, Bidding & Personalisation
✨Tip Number 1
Network like a pro! Reach out to folks in the Ads ML space on LinkedIn or at meetups. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to ad ranking or personalisation. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML fundamentals. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the Deliveroo team.
We think you need these skills to ace Ads ML Engineer - Ranking, Bidding & Personalisation
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Ads ML Engineer role. Highlight your experience with machine learning models, especially in ad ranking and personalisation, to show us you’re the perfect fit!
Show Off Your Skills:Don’t hold back on showcasing your technical skills! Mention your experience with Python, Git, Docker, and any relevant ML frameworks. We want to see how you can contribute to our mission of maximising ad relevance and performance.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain your past projects and achievements. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Deliveroo
✨Know Your ML Fundamentals
Make sure you brush up on your machine learning fundamentals, especially around supervised learning, ranking, and recommendation systems. Being able to discuss these concepts confidently will show that you have a solid foundation for the role.
✨Showcase Your Coding Skills
Since you'll be writing production code in Python, be prepared to demonstrate your coding skills during the interview. Practice coding challenges and be ready to explain your thought process while solving problems, especially using tools like Git, Docker, and Kubernetes.
✨Prepare for Real-World Scenarios
Think about how you would approach real-world advertising challenges. Be ready to discuss how you would design, develop, and productionise machine learning models for ad ranking and bidding. This will help you stand out as someone who can translate theory into practice.
✨Emphasise Collaboration and Communication
Since the role involves working closely with Product Managers and Engineers, highlight your experience in collaborative environments. Share examples of how you've effectively communicated complex ideas and mentored others, showcasing your ability to work in cross-functional teams.
