Machine Learning Engineering Manager in London
Machine Learning Engineering Manager

Machine Learning Engineering Manager in London

London Full-Time 48000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead machine learning teams to optimise delivery logistics and enhance customer experience.
  • Company: Join Deliveroo, a leader in transforming the food delivery industry.
  • Benefits: Competitive salary, free Deliveroo Plus, generous leave, and wellness support.
  • Why this job: Make a real impact on millions of orders with cutting-edge machine learning systems.
  • Qualifications: Experience in managing ML teams and deploying optimisation systems.
  • Other info: Dynamic work environment with strong focus on diversity and career growth.

The predicted salary is between 48000 - 84000 £ per year.

Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. At Deliveroo, machine learning plays a critical role in how we run a fast, reliable and efficient delivery network at scale.

We are looking for a Machine Learning Engineering Manager to lead machine learning teams focused on Delivery, spanning handover logistics and consumer signals. This role sits at the intersection of logistics, optimisation and real-time decision making, with direct impact on food quality, delivery speed and customer trust.

What You’ll Be Doing

  • Lead and develop teams working on handover logistics and consumer signals, supporting growth across a mix of MLE and DS roles.
  • Build and scale models that optimise rider dispatch based on food preparation times, ensuring orders arrive hot and fresh.
  • Own machine learning systems that communicate network status to consumers, including delivery time estimates and restaurant availability.
  • Take responsibility for core delivery performance metrics, such as surge requirements, marketplace balance and restaurant ranking adjustments.
  • Translate complex, real-world delivery problems into production machine learning and optimisation systems.
  • Partner closely with Product Managers, Software Engineers and Operations teams from problem framing through to deployment and iteration.
  • Balance experimentation, system reliability and long-term technical quality in a fast moving, high impact environment.
  • Manage around 9 individual contributors across two closely related problem spaces, remaining close to the technical work while operating as a people and delivery leader.

What You’ll Need to Thrive

  • Experience line managing Machine Learning Engineers and Data Scientists, and supporting their technical and career development.
  • Hands-on experience building and deploying machine learning or optimisation systems into production.
  • Strong background in logistics, optimisation, supply chain or network-based problem spaces.
  • Experience working in cross-functional product teams with engineers, product managers and operational stakeholders.
  • Comfort operating in fast changing environments with noisy data, real trade-offs and tight feedback loops.
  • A pragmatic, impact focused mindset, prioritising outcomes over theoretical perfection.
  • A classic machine learning background, with focus on logistics or consumer facing systems.

Why Join Us?

At Deliveroo, you’ll work on machine learning systems that operate in real time, at global scale, and directly shape how millions of orders move through our network every day.

Working here, you can expect:

  • Ownership of business critical machine learning systems with clear, measurable impact.
  • A strong and supportive data science and machine learning community.
  • Opportunities to grow as a technical leader and people manager.
  • A strong focus on wellbeing and belonging, with benefits that vary by country.

Diversity, Equity and Inclusion

At Deliveroo, we believe great workplaces reflect the world around us. We welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion or belief.

If you require adjustments at any stage of the application process, please let us know. We’re committed to ensuring everyone has an equitable opportunity to succeed.

Ready to lead machine learning systems that keep Deliveroo moving? Apply today.

Compensation

We aim to pay every employee competitively for the role they are performing in their respective location. Depending on role and location, some employees may be eligible for an annual cash bonus, sign-on bonus or relocation support. Up to 5% matched pension contributions. Some roles may be eligible for share awards, giving them ownership in Deliveroo and a share in our success.

Food

Free Deliveroo Plus: free delivery and access to special offers. Team lunches from the best local restaurants.

Time away

25 days annual leave plus bank holidays, increasing with length of time spent working at Deliveroo. One day of paid leave per year to volunteer with a registered charity.

Health and Wellbeing

Funded single cover healthcare on our core plan, with the option to add family members at own cost. On-site gym (HQ), discounted external gym membership. Access to wellbeing apps such as LesMills+, Strava, Headspace, Yogaia via GymPass. Discounted dental insurance and a range of other flexible benefits, such as critical illness cover, partner life cover, travel insurance, health assessments. Life assurance.

Work Life

Maternity, paternity and shared parental leave, eligible from day one of employment. Excellent kit to enable working from home and a parent-friendly working culture. Access to free mortgage advice. Cycle to Work Scheme or Season Ticket Loans, depending how you wish to travel. Excellent learning and development opportunities and access to RooLearn, our learning platform, packed with high-quality training and content. Regular Employee Resource Group (ERG) led social events – examples include dinners, dance lessons and in-office yoga sessions.

Machine Learning Engineering Manager in London employer: Deliveroo

At Deliveroo, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Machine Learning Engineering Manager, you'll lead talented teams in a fast-paced environment, with ample opportunities for professional growth and development, all while enjoying a comprehensive benefits package that prioritises your wellbeing and work-life balance. Join us in shaping the future of food delivery, where your contributions will have a direct impact on millions of customers worldwide.
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Contact Detail:

Deliveroo Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Machine Learning Engineering Manager in London

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to logistics and optimisation. This will give potential employers a taste of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with cross-functional teams.

✨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 our mission at Deliveroo.

We think you need these skills to ace Machine Learning Engineering Manager in London

Machine Learning
Team Leadership
Data Science
Logistics Optimisation
Production Systems Deployment
Cross-Functional Collaboration
Problem Framing
Algorithm Development
Performance Metrics Management
Real-Time Decision Making
Adaptability in Fast-Changing Environments
Impact-Focused Mindset
Technical Development Support
Hands-On Experience with Machine Learning Systems

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineering Manager role. Highlight your experience in managing teams and building machine learning systems, especially in logistics and optimisation. We want to see how your skills align with our mission!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how you can contribute to Deliveroo's goals. Be sure to mention any relevant projects or experiences that showcase your leadership and technical skills.

Showcase Your Impact: When detailing your past experiences, focus on the impact you've made. Use metrics and examples to illustrate how your work has improved delivery systems or enhanced team performance. We love seeing tangible results!

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of success. It’s the easiest way for us to track your application and ensure it gets the attention it deserves. Don’t miss out on this opportunity!

How to prepare for a job interview at Deliveroo

✨Know Your Algorithms

Brush up on your machine learning algorithms and optimisation techniques. Be ready to discuss how you've applied these in real-world scenarios, especially in logistics or consumer-facing systems. This will show that you can translate complex problems into effective solutions.

✨Showcase Leadership Experience

Prepare examples of how you've successfully managed teams of Machine Learning Engineers and Data Scientists. Highlight your approach to supporting their technical and career development, as well as how you foster collaboration within cross-functional teams.

✨Understand the Business Impact

Familiarise yourself with Deliveroo's business model and how machine learning impacts delivery performance metrics. Be ready to discuss how your work can directly influence food quality, delivery speed, and customer trust, demonstrating your impact-focused mindset.

✨Prepare for Fast-Paced Environments

Think about your experiences in fast-changing environments with noisy data. Be prepared to discuss how you've balanced experimentation with system reliability and long-term technical quality, showcasing your ability to thrive under pressure.

Machine Learning Engineering Manager in London
Deliveroo
Location: London

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