Senior MLOps Engineer - Cloud-Native ML Platform Lead

Asos; England; On-site; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Employee discount

Employee sample sales

25 days annual leave + extra day

Discretionary bonus

Private medical care

Flexible benefits

Personalised learning opportunities

Job summary

ASOS is building the next generation of AI-powered search and discovery experiences. We are hiring a Senior Machine Learning Engineer to design, build and operate cloud-native platforms that train, deploy and serve ML models at scale.

You will partner with scientists, software engineers and product managers to deliver robust, scalable ML systems with strong automation and observability. You will own production services, improve performance, and drive platform standardization across the ML stack

Qualifications

• Strong software engineering fundamentals in production systems at scale.
• Experience developing distributed systems or high-throughput backend platforms.
• Proficient in Python, Java, Kotlin, Go, Scala or similar languages.
• Experience with AWS, Azure or GCP environments.
• Hands-on with Kubernetes and cloud-native tech.
• CI/CD pipelines and automated deployment expertise.
• Knowledge of IaC tools like Terraform, Pulumi or CloudFormation.
• Experience with monitoring, alerting and observability tools.
• Ability to build reliable, scalable systems with focus on performance.

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.
• Build and maintain CI/CD pipelines for ML and data products.
• Design batch and real-time inference architectures using cloud-native technologies.
• Improve reliability and performance of ML workloads via monitoring and automation.
• Create tooling to help data scientists and ML engineers deploy models safely and efficiently.
• Own production services and drive incident management and RCA practices.
• Optimize distributed compute and resource utilization across cloud environments.
• Drive IaC adoption and platform standardization across ML systems.
• Contribute to architectural decisions across recommendation, search and AI platforms.
• Mentor engineers and promote software engineering best practices.

Skills

Software engineering

Distributed systems

MLOps

Python

Java

Kotlin

Go

Scala

Cloud environments

Kubernetes

CI/CD

Terraform

Pulumi

CloudFormation

Observability

Data pipelines

Model serving

ML platforms

Vector search

Tools

Kubernetes

Docker

Terraform

Pulumi

CloudFormation

CI/CD pipelines

Job description

ASOS is building the next generation of AI-powered search and discovery experiences. We are hiring a Senior Machine Learning Engineer to design, build and operate cloud-native platforms that train, deploy and serve ML models at scale.

You will partner with scientists, software engineers and product managers to deliver robust, scalable ML systems with strong automation and observability. You will own production services, improve performance, and drive platform standardization across the ML stack