Senior MLOps Engineer — Platform & Production ML

asos.com Ltd; Greater London; Hybrid; GBP 110,000 - 150,000; Full time

Benefits offered by this job

Bonus scheme

Private medical care

Flexible benefits

Learning & development

25 days leave

Job summary

ASOS is building the next generation of AI-powered Search and Discovery experiences for millions of customers worldwide. The Senior Machine Learning Engineer will design, build and operate platforms enabling ML models to be trained, deployed and served reliably at scale.

You’ll collaborate with scientists, software engineers, data engineers and product managers to ship production-ready ML tooling and infrastructure, driving performance and operational excellence.

Qualifications

• Strong software engineering fundamentals with production-scale systems experience.
• Experience building distributed systems or high-throughput backends.
• Proficient in Python, Java, Kotlin, Go, or Scala.

Responsibilities

• Design and build scalable ML platforms and infrastructure for training, deployment and serving.
• Develop highly available backend services powering recommendations, search and personalization for millions of customers.
• Build and maintain CI/CD pipelines for ML and data products.
• Design batch and real-time inference architectures using cloud-native tech.
• Improve reliability and observability across ML workloads.

Skills

Python

Distributed systems

MLOps

Kubernetes

Cloud platforms

CI/CD

Terraform

Monitoring

Tools

AWS

Azure

GCP

Kubernetes

Terraform

Pulumi

Job description

ASOS is building the next generation of AI-powered Search and Discovery experiences for millions of customers worldwide. The Senior Machine Learning Engineer will design, build and operate platforms enabling ML models to be trained, deployed and served reliably at scale.

You’ll collaborate with scientists, software engineers, data engineers and product managers to ship production-ready ML tooling and infrastructure, driving performance and operational excellence.