Senior machine learning software engineer Work, Jobs (with Salaries)

Senior Machine Learning Engineer
Deliveroo —London
- Full-time
- Customer service
- Machine learning
Senior Software Engineer - Machine Learning Platform
Deliveroo —London
- Full-time
- AWS
- Machine learning
- Python
Senior Machine Learning Engineer, Perception
Rivian —London
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Senior Software Engineer - Machine Learning (f/m/d)
Contentful —Remote
- Full-time
- Remote
- Azure
- Master's degree
- AWS
- Annual leave
Senior Machine Learning Engineer
Longshot Systems Ltd —London
- Full-time
- Hybrid work
- Azure
- Computer Science
- AWS
- Gym membership
Quick apply
Senior Software Engineer, Inference
Anthropic —London
- £225,000 - £325,000 a year
- Hybrid work
- Master's degree
- AWS
- Bachelor's degree
- Flexible schedule
Machine Learning Senior Software Engineer
Arm —Cambridge
- £73,500 - £99,500 a year
- Hybrid work
- English
- C++
- Machine learning
Senior Machine Learning Research Engineer - Research Engineering - MSR Cambridge
Microsoft —Cambridge
- £74,700 - £122,600 a year
- Full-time
- Doctoral degree
- Computer Science
- Data analysis skills
4d
Senior System Engineer
Leidos —Remote
- £61,500 - £78,800 a year
- Full-time
- Remote
- Engineering
- Bachelor's degree
- Organisational skills
- Annual leave
- Work from home
Senior Machine Learning Engineer
Hometrack —London
- Full-time
- SQL
- AWS
- Bachelor's degree
- Annual leave
- Referral programme
Quick apply
7d
Senior Machine Learning Engineer
BRAHMA —Remote
- Remote
- AWS
- Machine learning
- AI
Senior AI Engineer
Bluefish AI —London
- Remote
- Master's degree
- Analysis skills
- Machine learning
Senior Machine Learning Software Engineer
Oxford Instruments plc —Bristol
- Remote
- Azure
- Computer Science
- Master's degree
- Free parking
- Annual leave
3d
Senior Machine Learning Engineer
Prima —Remote
- Remote
- English
- AWS
- Machine learning
- Work from home
Quick apply
Senior Software Engineer - FTC
Public Library of Science —Glasgow
- £65,000 - £142,000 a year
- Remote
- Computer Science
- Bachelor's degree
- Machine learning
- Annual leave
Senior Frontend Engineer
Simple Machines —London
- Full-time
- Hybrid work
- Machine learning
- Software development
- Agile
Quick apply
Senior Machine Learning Engineer
Houseful —London
- Full-time
- Hybrid work
- AWS
- Machine learning
- Python
- Annual leave
- Referral programme
Quick apply
5d
Senior Machine Learning Engineer
AECOM —London
- Full-time
- Doctoral degree
- Computer Science
- Engineering
- Employee stock purchase plan
- Annual leave
Senior Software Engineer I - Onboarding Experience
Wise —London
- £87,500 - £111,000 a year
- Full-time
- Hybrid work
- Java
- Machine learning
- Communication skills
Quick apply
14d
Senior Systems Integration & Test Engineer
Leidos —Ham
- £61,500 - £78,800 a year
- Full-time
- Agile
- Communication skills
- Annual leave
- Work from home

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Senior Machine Learning Engineer

Deliveroo -
London

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Job details

Full-time

Qualifications

Law
Customer service
Machine learning

Full job description

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 Deliveroo’s growth at scale.

We’re looking for several Senior Machine Learning Engineers to join our London teams.

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. Based on the team you join, here's what your role may look like:

Ads – building and productionising ranking and bidding models that decide which sponsored content to show, balancing advertiser outcomes with a high-quality user experience.
New Verticals – developing recommendation and catalogue-quality models that help customers discover the right grocery and retail items while supporting growth and efficiency.
Consumer – improving modern recommendation, ranking and search systems that shape how customers discover and choose what to order, driving engagement and long-term growth.
Care – building ML and LLM-powered systems that support customer care operations, from understanding intent and sentiment to suggesting fair and consistent resolutions.
Merchants – owning and evolving core ML models that support our merchant ecosystem (for example around classification, matching and lead-scoring), and building new models and AI agents that help partners grow their business.

Irrespective of the team, you will:

Design and build sophisticated machine learning models to solve fuzzy business problems
Productionise end-to-end ML solutions, moving from initial concept to shipping code that drives measurable impact on our global marketplace.
Collaborate in cross-functional squads alongside software engineers, data scientists, and product managers to build intelligent decision-making machines.
Mentor junior colleagues and contribute to our robust technical review process to maintain high engineering standards.

What You’ll Need to Thrive

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

Significant experience applying algorithmic solutions to complex business problems at scale.
Deep understanding of machine learning fundamentals and a proven ability to know when and how to apply them effectively.
Demonstrated ownership of end-to-end model productionisation, with a strong background in software engineering principles.
A bias for simplicity and a focus on achieving tangible business impact over theoretical complexity.
Exceptional programming and statistical skills, with the ability to translate ambiguous objectives into technical reality.

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? Check out our Tech Blog.

We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage.

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. 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.

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!

Apply Now

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