Senior Machine Learning Engineer
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 Deliveroos growth at scale.
Were looking for a Senior Machine Learning Engineer to join our London this role youll help shape the decision-making systems that directly impact customer experience trust and fairness at Deliveroo. This role is based in our London office with a hybrid setup typically 3 days in the office.
What Youll Be Doing
Youll be joining the Care team. Care is an area with significant opportunity and real customer impact; youll 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.
Heres what your day-to-day might look like:
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.
What Youll Need to Thrive
Essential
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.
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.
Why Join Us
At Deliveroo youll do work that matterssolving real-world problems in a three-sided marketplace thats constantly evolving. Were 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 youre rewarded for the impact you make.
Want a deeper look at how we build Check out our 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 were 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. Were 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 if you require any reasonable adjustments during the recruitment process please contact our recruitment team at and well be happy to help ensure you have a fair and equitable experience.
If youre excited about solving meaningful problems at scale and growing with a supportive team wed love to hear from you.
Required Experience:
Senior IC
Senior Machine Learning EngineerJoin 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 million...
Senior Machine Learning Engineer
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 Deliveroos growth at scale.
Were looking for a Senior Machine Learning Engineer to join our London this role youll help shape the decision-making systems that directly impact customer experience trust and fairness at Deliveroo. This role is based in our London office with a hybrid setup typically 3 days in the office.
What Youll Be Doing
Youll be joining the Care team. Care is an area with significant opportunity and real customer impact; youll 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.
Heres what your day-to-day might look like:
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.
What Youll Need to Thrive
Essential
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.
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.
Why Join Us
At Deliveroo youll do work that matterssolving real-world problems in a three-sided marketplace thats constantly evolving. Were 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 youre rewarded for the impact you make.
Want a deeper look at how we build Check out our 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 were 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. Were 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 if you require any reasonable adjustments during the recruitment process please contact our recruitment team at and well be happy to help ensure you have a fair and equitable experience.
If youre excited about solving meaningful problems at scale and growing with a supportive team wed love to hear from you.
Required Experience:
Senior IC
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