remote
ML/AI Platform Engineer - Monzo
Devops Engineer
Lead the design and operation of scalable ML/AI services, building robust pipelines on AWS and Kubernetes while ensuring high availability and performance for fintech applications.
About the role
Key Responsibilities
- Architect, develop and maintain end‑to‑end ML/AI pipelines on AWS, ensuring scalability, reliability and security.
- Collaborate with data scientists to translate models into production‑ready services using Docker and Kubernetes.
- Implement CI/CD workflows for model deployment, monitoring and rollback strategies.
- Optimize infrastructure costs and performance through resource tuning and automation.
- Provide technical guidance to cross‑functional teams on best practices for ML platform usage.
Requirements
- 5+ years of experience in ML/AI platform engineering or related roles.
- Proficiency in Python, AWS services (SageMaker, ECS, EKS, Lambda), Kubernetes and Docker.
- Strong background in CI/CD, GitOps and automated testing for ML workflows.
- Excellent problem‑solving skills and ability to work in a fast‑paced fintech environment.
Skills
pythonmachine learningawskubernetesdockercicd