ML/AI Platform Engineer at Monzo
May no longer be active — verify on the employer site
At a glance
- Company
- Monzo
- Location
- United Kingdom
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Monzo job
- 🏢 Monzo has 51 jobs here, 28 with visa sponsorship see all
- 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
- 💡 No salary shown. Ask Monzo if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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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.
Key skills
- Go — in 230 other listings on The Stack
- Python — in 1200 other listings on The Stack
- Kubernetes — in 585 other listings on The Stack
- AWS — in 802 other listings on The Stack
- GCP — in 169 other listings on The Stack
- Terraform — in 470 other listings on The Stack
- Envoy Proxy — in 16 other listings on The Stack
- Distributed Systems — in 342 other listings on The Stack
- ML Pipelines
- Model Serving
- Feature Stores
- LLM Infrastructure
- Backend Engineering
- System Design
- API Development
- Experiment Tracking
On The Stack (as of 2026-11-05)
Frequently asked questions about Monzo
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.