At a Glance
- Tasks: Lead a team of Machine Learning Engineers to optimise customer experience through algorithms.
- Company: Join Deliveroo, a fast-growing company revolutionising food delivery with data-driven decisions.
- Benefits: Enjoy healthcare, generous leave, and support for charitable causes, tailored to your country.
- Why this job: Be part of a diverse team tackling exciting challenges in a dynamic environment.
- Qualifications: Experience managing ML engineers and deploying algorithms in product teams is essential.
- Other info: We value diversity and are committed to creating an inclusive workplace for all.
The predicted salary is between 43200 - 72000 £ per year.
At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo.
Machine Learning (ML) Engineers work in cross-functional teams of engineers, data scientists, and product managers to build the algorithmic products that power the company. We are embedded in product teams, close to the business problems and go after some of the hardest problems. ML Engineers translate a fuzzy business problem to a concrete pipeline that we design and implement. We then work closely with the engineers to deploy our models to production and with data scientists to run experiments based on these algorithms.
ML Engineers at Deliveroo report into our Science management team, and we have a strong, active data science community with guest lecturers, a robust technical review process, a career progression framework, and plenty of opportunities to learn new things. We have career pathways for both managers and individual contributors.
Our ML Engineers come from many disciplines but have excellence in common. Many are formally trained in Machine Learning, many are not.
We are looking for a Machine Learning Engineering Manager to join our management team and lead our Search & Relevance team. This team optimises the customer experience algorithmically, mainly through recommendation engines and search & ranking algorithms. The team currently has a mix of MLEs of differing levels of seniority, including mid-level, Senior and Staff.
Ideal candidates will:
- Have experience line-managing machine learning engineers and guiding their career development.
- Have built and deployed machine learning algorithms to production within product teams.
- Provide technical guidance and input on the design and implementation of machine learning algorithms.
- Have experience working with cross-functional teams and managing stakeholders throughout the business, helping them to identify opportunities and build roadmaps.
- Bring together a group of individuals from many different backgrounds and skill sets to form a cohesive team.
- Be comfortable working in an extremely fast, constantly changing environment.
- Have a pragmatic, flexible approach, and most cares about achieving impact.
Bonus Knowledge and experience with experimentation.
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.
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.
Machine Learning Engineering Manager employer: Deliveroo
Contact Detail:
Deliveroo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineering Manager
✨Tip Number 1
Familiarise yourself with Deliveroo's products and services, especially their recommendation engines and search algorithms. Understanding how these systems work will help you demonstrate your knowledge during discussions and show that you're genuinely interested in the role.
✨Tip Number 2
Network with current or former employees of Deliveroo, particularly those in data science or machine learning roles. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach when discussing your experience.
✨Tip Number 3
Prepare to discuss your experience in managing cross-functional teams and how you've successfully guided machine learning engineers in their career development. Be ready to share specific examples that highlight your leadership style and impact on team performance.
✨Tip Number 4
Stay updated on the latest trends and advancements in machine learning and data science. Being knowledgeable about current technologies and methodologies will not only impress your interviewers but also show that you're committed to continuous learning and improvement.
We think you need these skills to ace Machine Learning Engineering Manager
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Machine Learning Engineering Manager position at Deliveroo. Familiarise yourself with their data science organisation and how ML Engineers contribute to the company.
Tailor Your CV: Highlight your experience in managing machine learning engineers and your technical expertise in deploying algorithms. Make sure to include specific examples of your work with cross-functional teams and any successful projects that demonstrate your impact.
Craft a Compelling Cover Letter: Use your cover letter to express your passion for machine learning and your leadership style. Discuss how your background aligns with Deliveroo's mission and values, and mention your approach to fostering diversity and inclusion within teams.
Showcase Relevant Skills: In your application, emphasise your experience with recommendation engines, search algorithms, and your ability to adapt in fast-paced environments. Mention any knowledge of experimentation techniques that could benefit the role.
How to prepare for a job interview at Deliveroo
✨Showcase Your Leadership Skills
As a Machine Learning Engineering Manager, you'll need to demonstrate your ability to lead and develop a team. Be prepared to discuss your experience in line-managing engineers and how you've guided their career development. Share specific examples of how you've fostered a collaborative environment.
✨Highlight Technical Expertise
Make sure to emphasise your technical background in machine learning. Discuss any algorithms you've built and deployed to production, and be ready to explain the design and implementation processes. This will show that you can provide valuable technical guidance to your team.
✨Demonstrate Cross-Functional Collaboration
Deliveroo values teamwork across various departments. Prepare to share experiences where you've worked with product managers, data scientists, and other stakeholders. Highlight how you identified opportunities and built roadmaps that benefited the business.
✨Adaptability is Key
The fast-paced environment at Deliveroo requires a flexible approach. Be ready to discuss how you've successfully navigated changes and adapted your strategies in previous roles. Show that you're comfortable with ambiguity and focused on achieving impactful results.