Senior Machine Learning Engineer - Care

DoorDash, Inc.
London, UK
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Machine Learning Circleci Large Language Models Generative AI Kubernetes Production Code Machine Learning Operations Virtual Agents

Job description

You’ll be joining the team. Care is an area with significant opportunity and real customer impact; you’ll take ownership of existing models and help define strong ML foundations in spaces that are still evolving, from LLM-powered automation to customer compensation logic.Care

Here’s what your day-to-day might look like:

Lead the design, development, and productionisation of machine learning models used in customer support and high-stakes decision systems.Own the full ML lifecycle:

Build robust monitoring, evaluation, and alerting frameworks to detect model underperformance, drift, or unexpected behaviour in real-time.Architect for reliability:

Partner closely with Product Managers to turn ambiguous customer problems into robust, scalable ML solutions.Collaborate on product strategy:

Provide technical leadership in areas with unclear ownership, setting the gold standard for ML quality, reliability, and maintainability.Drive technical excellence:

Work with data scientists and engineers across the global organisation to embed models into high-performance, scalable systems.Bridge science and engineering

Requirements

as an ML Engineer or Data Scientist, with a proven ability to write high-quality production code in .Significant experiencePython

of productionising Generative AI workstreams or Agentic AI projects, including a deep understanding of LLMs, transformers, and fine-tuning.Demonstrated ownership

to deploy and manage models using modern infrastructure tools such as .Proven abilityDocker, Kubernetes, and CircleCI

of traditional ML and evaluation techniques, balanced with a bias for simplicity and measurable business impact.Strong foundational knowledge

with experience mentoring peers and a drive to solve complex, real-world problems at scale.A collaborative mindset

Nice to Have

Experience with evaluation harnesses and frameworks specifically designed for Generative AI.

Familiarity with observability, monitoring, and safety techniques for deployed GenAI systems.

Experience working with strongly typed languages, such as .Go, If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!

Benefits & conditions

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:

?? Work on a complex, always-on marketplace that impacts millions every day.Solve meaningful problems at real scale

?? Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment.See your impact, fast

?? Take on big, ambiguous problems and accelerate your career with strong support.Grow through challenge and ownership

?? High standards, collaboration, flexible working and continuous learning.A culture built for builders

?? Competitive salary and equity options, so you’re rewarded for the impact you make.Share in the success you help create

?? Want a deeper look at how we build? Check out our .Tech Blog

Diversity, Equity and Inclusion

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.

About the company

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.

Join us in 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.

From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale.

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