ML/AI Platform Engineer

Monzo Bank

ML/AI Platform Engineer at Monzo building systems for machine learning and AI features. Working on backend services and tools for deploying and serving machine learning models.

Posted 6/22/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSenior💰 £85,000 - £110,000 per yearWebsite

Tech Stack

Tools & technologies

AWSDistributed SystemsGoGoogle Cloud PlatformKubernetesPython

About the role

Key responsibilities & impact

Build systems that help teams across Monzo train, evaluate, deploy and serve machine learning models and AI features safely and reliably
Work on backend services, Python libraries, model lifecycle tooling, evaluation workflows and low-latency serving systems
Assist internal ML engineers, scientists, and product teams building with ML and LLMs
Ensure machine learning powers important decisions and experiences at Monzo, from fraud checks and credit decisions to customer operations
Help teams move faster while keeping production systems reliable, observable and safe.
Role in the ML and AI space, combining software engineering with ML or AI context.

Requirements

What you’ll need

Solid backend engineering with real ML or AI platform experience (ML pipelines, feature stores, model serving, experiment tracking or LLM tooling)
Experience designing and operating distributed systems that handle scale, concurrency and failure
Think like a platform engineer, focused on developer experience and removing friction for internal teams
Proficient in Go and Python
Experience with AWS or GCP, and with Kubernetes
Curious about how systems behave in production, including reliability, latency, quality, safety and operational risk
Experience with strongly typed languages, writing and working on backend software.

Benefits

Comp & perks

£1,000 learning budget for books, training courses and conferences
Flexible working hours
Trust to work enough hours to do your job well, at times that suit you and your team
Support for relocation to the UK
Visa sponsorship available
Good work-life balance
Work-life balance considerations such as children drop-offs or appointments.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

backend engineeringmachine learningartificial intelligencePythonGodistributed systemsML pipelinesfeature storesmodel servingexperiment tracking

Soft Skills

developer experienceproblem-solvingcuriosityteam collaborationremoving friction