# ML/AI Platform Engineer at Monzo

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design, build and operate platform servi

- **Company:** Monzo (https://jobs.trythestack.co/companies/monzo)
- **Location:** United Kingdom
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Go, Python, Kubernetes, AWS, GCP, Terraform, Envoy Proxy, Distributed Systems, ML Pipelines, Model Serving, Feature Stores, LLM Infrastructure, Backend Engineering, System Design, API Development, Experiment Tracking
- **Posted by employer:** 2026-06-21
- **Added to The Stack:** 2026-06-22
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://job-boards.greenhouse.io/monzo/jobs/8020007 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/mlai-platform-engineer-monzo

## About the role

Responsibilities:
- Design, build and operate platform services that enable teams to train, evaluate, deploy and serve ML/AI models.
- Develop backend services, Python libraries, model lifecycle tooling, evaluation workflows and low-latency serving systems.
- Ensure platform reliability, observability, safety and low latency for production ML features (fraud checks, credit decisions, etc.).
- Collaborate closely with ML engineers, data scientists and product teams to improve workflows, tooling and experimentation.
- Contribute to infrastructure and automation (Kubernetes, Terraform, cloud providers) and to open-source components where relevant.

Requirements:
- Strong software engineering foundations with experience building platform services for ML/AI workloads.
- Proficiency in Go and Python and hands-on experience with Kubernetes and cloud platforms (AWS/GCP).
- Experience with infrastructure-as-code (Terraform), proxies (Envoy) and distributed systems design.
- Knowledge of model serving, feature stores, experiment tracking and model lifecycle management.
- Track record of delivering observable, low-latency, reliable production systems and effective cross-team communication.

## Responsibilities

Build and maintain systems that enable internal teams to train, deploy, and serve machine learning models and AI features safely. Develop backend services, Python libraries, and low-latency serving systems to support fraud checks and credit decisions.

## Requirements

Requires strong backend engineering foundations with specific experience in ML/AI platforms and distributed systems. Proficiency in Go, Python, and cloud infrastructure like Kubernetes and AWS/GCP is expected.

## FAQ

- **Is this ML/AI Platform Engineer role still open?** It was posted on 2026-06-21. Listings more than 30 days old may no longer be active, so check Monzo's site before applying.
- **Does Monzo offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Monzo's site.
- **Where is this role located?** The listing gives the location as United Kingdom. It is marked on-site.
- **What skills does this role ask for?** The listing names: Go, Python, Kubernetes, AWS, GCP, Terraform, Envoy Proxy, Distributed Systems, ML Pipelines, Model Serving, Feature Stores, LLM Infrastructure, Backend Engineering, System Design, API Development, Experiment Tracking.

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## Notes for agents

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