Machine Learning Intern

Deliveroo1 weeks ago

Location

London - The River Building HQ

Type

Full Time

Level

Intern

Role

ML Engineer

Posted

Mar 5, 2026

Full TimeIntern

The role

Summary

A Machine Learning Engineer internship at Deliveroo working on production ML systems that impact millions of users across a three-sided marketplace. Interns join product teams to build, evaluate, and deploy machine learning models with mentorship from experienced MLEs in London headquarters.

What you'll do

Production ML Development: Work on well-scoped machine learning projects within product or platform teams

Model Implementation: Design, build, evaluate, and deploy machine learning models in real production environments

Data Analysis & Modeling: Collect, analyze, and synthesize findings from data to build relevant ML models

Code Development: Write clean, efficient, and sustainable code for ML systems

Project Ownership: Own a piece of a defined project and present work to the team

Research Implementation: Contribute and execute on research ideas that can be applied to improve product experiences

System Optimization: Work on ranking, search, recommendation systems, and real-time decision systems

What we look for

Technical

Python ProgrammingMastery of Python programming language for ML development

ML Framework ProficiencyExperience with at least one ML framework: TensorFlow, PyTorch, or MLFlow

Research ExperienceExperience in research and solving analytical problems

Applied ML PassionStrong interest and passion for applied machine learning

Education

Degree RequirementsCurrently working towards BSc/MSc/PhD in Computer Science, AI, ML, NLP, Statistics or related field

Experience

Communication SkillsStrong communicator and team player with collaborative abilities

Independent JudgmentAbility to exercise discretion and make informed decisions within assigned responsibilities

UK Work AuthorizationMust be authorized to work in the U.K.

Skills

Required skills

Python ProgrammingAdvanced proficiency in Python for ML development and production systems

Machine Learning FrameworksHands-on experience with TensorFlow, PyTorch, or MLFlow

Analytical Problem SolvingResearch experience and ability to solve complex analytical problems

CommunicationStrong verbal and written communication skills for team collaboration

Nice to have

Production ML ExperiencePrior experience working with ML systems in production environments

Large-scale Data ProcessingExperience handling large volumes of real-time data

A/B TestingKnowledge of experimentation and model evaluation methodologies

Statistical AnalysisStrong background in statistics and statistical modeling

Compensation & benefits

Benefits

Health & Wellbeing

Comprehensive health and wellbeing benefits package

Learning & Development

Professional development opportunities and mentorship programs

Financial Support

Various financial support benefits and programs

Mentorship

Close mentorship from experienced Machine Learning Engineers

Full-time Opportunity

Potential for full-time offer upon successful completion of internship

Global Network Access

Access to DoorDash's global Engineering organization and international colleagues

Interview process

1
Application Review — Initial screening of application materials including resume, cover letter, and academic transcripts
2
Phone/Video Screening — Initial conversation with recruiter or hiring manager to discuss background and interest
3
Technical Interview — Technical assessment covering Python programming, ML concepts, and problem-solving abilities
4
Final Interview — In-depth discussion with team members about projects, fit, and career goals