Machine Learning Engineer - Routing & ETA

Deliveroo · London - The River Building HQmid

En corto

▸Ingeniero de Machine Learning que desarrolla modelos de predicción de tiempo de entrega (ETA) para la experiencia del cliente y asignación automática de reparti
▸Trabajas en un entorno híbrido en Londres, colaborando en equipos multidisciplinarios para escalar soluciones de ML a gran escala.
▸Destaca que el rol forma parte de un equipo global de DoorDash, con impacto directo en un mercado trilátero global con millones de usuarios.

Working knowledge of English required

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓Más de 3 años como ingeniero de ML o científico de datos con experiencia en código de producción en Python.
✓Experiencia aplicando soluciones de ML y algoritmos a problemas complejos en producción.
✓Conocimiento sólido de fundamentos de ML y capacidad para seleccionar técnicas adecuadas.
✓Experiencia en construir modelos predictivos, especialmente en forecasting o estimación de tiempo.
✓Capacidad para llevar modelos desde el concepto hasta producción con buenas prácticas de ingeniería de software.
✓Capacidad para traducir problemas empresariales ambiguos en soluciones técnicas prácticas.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonMachine LearningPredictive ModelingTime EstimationForecastingProduction MLSoftware EngineeringReal-time Decision-makingCross-functional CollaborationGlobal Marketplace Systems

¿A quién escribirle en Deliveroo?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

Machine Learning Engineer - Delivery (Routing/ETA) Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Global 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. We’re looking for a Machine Learning Engineer to join our London office as part of a Global DoorDash Engineering team (working hybrid, 3 days in the office). What You’ll Be Doing In this role, you’ll help us develop the algorithmic and machine-learning systems that power Deliveroo, making automated decisions at massive scale across our three-sided marketplace. You’ll be working on delivery-time prediction, owning the models that power the ETA a customer sees and the ETA-related signals used by our dispatcher when automatically allocating riders to orders. You will: Design and improve ETA and delivery-time prediction models that power the consumer-facing experience across Deliveroo. Build models used by our dispatcher, helping inform the automatic allocation of riders to orders. Improve prediction quality and reliability across different markets, order types and delivery conditions. Productionise end-to-end ML solutions, moving from initial concept to shipping code that drives measurable impact across our marketplace. Collaborate in cross-functional squads alongside software engineers, data scientists and product managers to improve how delivery-time predictions are used across the platform. What You’ll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Minimum 3+ years of experience as an ML Engineer or Data Scientist, with a proven ability to write high-quality production code in Python Experience applying machine learning and algorithmic solutions to complex business problems in production. Strong understanding of machine learning fundamentals and the ability to select and apply appropriate modelling techniques. Experience building predictive models, particularly around forecasting, time estimation or other real-time decision-making problems. Experience taking models through to production, with a solid grounding in software engineering principles. A bias for simplicity and a focus on achieving tangible business impact over theoretical complexity. Strong programming and statistical skills, with the ability to translate ambiguous business problems into practical technical solutions. Why Join Us? At Deliveroo, you'll do work that matters—solving real-world problems in a three-sided 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 High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Tech Blog. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. 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.

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