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Machine Learning Engineering Manager

icon building Company : Deliveroo
icon briefcase Job Type : Full Time

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Job Description - Machine Learning Engineering Manager

Machine Learning Engineering Manager

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’re 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

You’ll lead cross-functional teams of Machine Learning Engineers and Data Scientists, owning the algorithmic systems that power key delivery experiences. In this role, you will:

  • 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

You’ll 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

Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others:

  • 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.

Original job Machine Learning Engineering Manager posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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