Machine Learning Platform Engineering
We're on a mission to make money work for everyone, and our Machine Learning Platform team builds the systems that help teams across Monzo train, evaluate, deploy, and serve ML models and AI features safely and reliably.
We work on backend services, Python libraries, model lifecycle tooling, evaluation workflows, and low latency serving systems. Our users are internal ML engineers, scientists, and product teams building with ML and LLMs. The work matters because machine learning powers many important decisions and experiences at Monzo, from fraud checks and credit decisions to customer operations.
Location & Compensation
London, UK (remote within the UK available). Salary £85,000 - £110,000 plus incentive awards tied to performance. Benefits include relocation support, visa sponsorship, flexible working hours, learning budget, and a full list of benefits.
Responsibilities
- Develop backend services, platform APIs, and production systems using Go.
- Write Python libraries, workflows, and tooling used by our ML engineers and scientists.
- Implement feature platforms and data workflows with Chronon, Feast, and DataHub.
- Build model training pipelines and experiment tracking using Vertex AI and Comet.
- Maintain AI observability, evaluation, and tracing using Langfuse.
- Deploy and maintain real time serving on AWS and batch compute on GCP, including BigQuery data warehousing.
Qualifications
- Strong backend engineering background with experience in Go and Python.
- Experience with ML or AI platforms, including pipelines, feature stores, model serving, experiment tracking, or LLM tooling.
- Designed and operated distributed systems that handle scale, concurrency, and failure.
- Focus on developer experience and removing friction for internal teams.
- Comfortable with ambiguity and ability to shape a platform as it grows.
- Experience with strongly typed languages and writing backend software.
- Curiosity about system behavior in production, including reliability, latency, quality, safety, and operational risk.
This Might NOT Be the Right Fit If
- Your background is predominantly DevOps, SRE, or infrastructure operations.
- You are focused on data science or modelling rather than platform engineering.
- You have shipped AI product features but have not worked on the platform side (serving, evaluation, model lifecycle).
Benefits
- Competitive salary £85,000 - £110,000 plus incentive awards.
- Relocation assistance to the UK and visa sponsorship.
- Flexible working hours and trust to work the hours that suit you.
- Annual learning budget of £1,000 for books, training courses, and conferences.
- Additional benefits available - see our full benefits list.
Equal Opportunity Employer
Diversity and inclusion are a priority for us. We are an equal opportunity employer and will consider all applicants without regard to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, veteran status, neurodiversity, or disability status.