At a Glance
- Tasks: Join us to build a cutting-edge machine learning platform that powers Deliveroo's business decisions.
- Company: Deliveroo, a dynamic tech company transforming the food delivery industry.
- Benefits: Competitive salary, equity options, flexible working, and opportunities for professional growth.
- Other info: Collaborative culture focused on diversity, equity, and inclusion.
- Why this job: Make a real impact in a fast-paced environment while solving meaningful problems.
- Qualifications: Strong coding skills in Python/Go and experience with ML infrastructure.
The predicted salary is between 70000 - 90000 € per year.
Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our 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. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. We’re looking for a Senior Machine Learning Platform Engineer to join our London (hybrid) team. In this role, you’ll help us build a state-of-the-art platform that enables our machine learning engineers and data scientists to train, validate, and deploy models at scale.
What You’ll Be Doing
- You’ll be joining the Machine Learning Platform team. We work on the tooling and best practices that supercharge ML at Deliveroo, ensuring our models can iterate quickly and deploy reliably to production.
- Design and drive the direction for the centralised machine learning platform that powers all of Deliveroo's business decisions.
- Build and scale infrastructure for training and deployment pipelines, model serving, and feature stores using tools like Metaflow and Kubernetes.
- Collaborate with product and platform teams to build standardised tooling capabilities that drive MLOps practices across the entire company.
- Develop libraries and best practices to make the ML ecosystem more accessible, reliable, and easier to use for our internal engineering partners.
- Automate and document platform operations, turning complex learnings into repeatable actions and self-healing systems.
What You’ll Need to Thrive
- Significant experience writing high-quality code in Python and Go (or a proven ability to master new languages if coming from a strong backend background).
- Demonstrated ownership of ML infrastructure, including familiarity with modelling frameworks like TensorFlow, Scikit-Learn, or PyTorch.
- Strong Infrastructure as Code skills, ideally with Terraform, and experience managing containerised workloads on AWS (EKS, ECS, or Lambda).
- Proven ability to collaborate across teams, working with PMs and Data Scientists to translate complex requirements into scalable platform features.
- Knowledge of distributed services and event streaming, specifically using Kafka for real-time data processing.
- A passion for the ML Platform area, including a keen interest in the evolving landscape of LLMs and MLOps.
Why Join Us?
- At Deliveroo, you’ll do work that matters—solving real-world problems in a three-side 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 with high standards, collaboration, flexible working and continuous learning.
- Share in the success you help create with a competitive salary and equity options, so you’re rewarded for the impact you make.
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.
Senior Software Engineer - Machine Learning Platform employer: Deliveroo
Deliveroo is an exceptional employer that fosters a culture of innovation and collaboration, where engineers are empowered to tackle meaningful challenges in a dynamic marketplace. With a focus on employee growth, competitive salaries, and equity options, team members can see the direct impact of their work while enjoying a flexible working environment in London. Join us to be part of a diverse team that values creativity and inclusivity, ensuring everyone has the opportunity to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer - Machine Learning Platform
✨Tip Number 1
Network like a pro! Reach out to current employees at Deliveroo on LinkedIn or through mutual connections. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Show off your skills in real-time! Consider contributing to open-source projects or creating your own GitHub repo showcasing your machine learning projects. This not only demonstrates your expertise but also your passion for the field.
✨Tip Number 3
Prepare for those interviews! Dive into the Engineering Interview Guide provided by Deliveroo. Practising common technical questions and scenarios will help you feel more confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team and making an impact at Deliveroo.
We think you need these skills to ace Senior Software Engineer - Machine Learning Platform
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with machine learning platforms and relevant technologies. We want to see how your skills align with what we do at Deliveroo!
Showcase Your Projects:Include examples of past projects where you've built or improved ML infrastructure. We love seeing real-world applications of your skills, so don’t hold back on the details!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences shine through without unnecessary fluff.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role you’re excited about!
How to prepare for a job interview at Deliveroo
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, Go, and any ML frameworks like TensorFlow or PyTorch. Brush up on your Infrastructure as Code skills, particularly with Terraform, as this will likely come up during technical discussions.
✨Showcase Your Collaboration Skills
Prepare examples of how you've successfully collaborated with product managers and data scientists in the past. Highlight specific projects where you translated complex requirements into scalable features, as teamwork is key in this role.
✨Demonstrate Your Passion for ML
Express your enthusiasm for machine learning and MLOps during the interview. Share insights about recent trends in the field, such as LLMs, and discuss how you stay updated with the evolving landscape. This shows that you're not just qualified but genuinely interested in the area.
✨Prepare for Problem-Solving Questions
Expect to tackle some real-world problems during the interview. Practice coding challenges and system design questions that focus on building and scaling ML platforms. Being able to articulate your thought process clearly will impress the interviewers.