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About the Role
Join 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. We are looking for a Senior Machine Learning Engineer to join our London team, shaping decision-making systems that directly impact customer experience, trust, and fairness.
Responsibilities
- Own the full ML lifecycle: Lead the design, development, and productionisation of machine learning models used in customer support and high-stakes decision systems.
- Architect for reliability: Build robust monitoring, evaluation, and alerting frameworks to detect model underperformance, drift, or unexpected behaviour in real-time.
- Collaborate on product strategy: Partner closely with Product Managers to turn ambiguous customer problems into robust, scalable ML solutions.
- Drive technical excellence: Provide technical leadership in areas with unclear ownership, setting the gold standard for ML quality, reliability, and maintainability.
- Bridge science and engineering: Work with data scientists and engineers across the global organisation to embed models into high-performance, scalable systems.
Requirements
- Significant experience as an ML Engineer or Data Scientist, with a proven ability to write high-quality production code in Python.
- Demonstrated ownership of productionising Generative AI workstreams or Agentic AI projects, including a deep understanding of LLMs, transformers, and fine-tuning.
- Proven ability to deploy and manage models using modern infrastructure tools such as Docker, Kubernetes, and CircleCI.
- Strong foundational knowledge of traditional ML and evaluation techniques, balanced with a bias for simplicity and measurable business impact.
- A collaborative mindset with experience mentoring peers and a drive to solve complex, real-world problems at scale.
Skills
- Python
- Generative AI
- Agentic AI
- LLMs
- Transformers
- Fine-tuning
- Docker
- Kubernetes
- CircleCI
- Machine Learning
- Evaluation techniques
- Go
Location
- London
Work Type
- Hybrid
Experience Level
- Senior
Benefits
- Competitive salary
- Equity options
About the Company
- Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition.
- Together, we’re unlocking new possibilities as one global team.
- 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.
- 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.
- Work on a complex, always-on marketplace that impacts millions every day.
- Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment.
- 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.
Equal Opportunity
- 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.
- If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application.
- We’ll share details on how to request support so we can ensure you have a fair and equitable experience.