Platform Engineer – Data Science & AI Platform

asos.com Ltd; Greater London; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Employee sample sales

25 days paid annual leave + an extra

Private medical care scheme

Fixed Annual Payment in addition to my

Personalised learning opportunities

Job summary

ASOS is seeking a Platform Engineer for Data Science & AI Platform to design and evolve scalable data/ML infrastructure. You will implement platform-level IaC, CI/CD, and environment management to support reproducible workloads across dev/test/prod, and build components with Python and Spark for data processing.

You will contribute to shared services for data/ML lifecycle, support AgentOps capabilities, and ensure security and observability across data, ML, and agent workloads while

Qualifications

• Experience in Data Platforms, Data Engineering, Cloud Engineering, or ML Platform Engineering roles, with exposure to Azure.
• Strong hands-on experience with Python and Apache Spark.
• Experience with Azure data platform technologies such as Azure Databricks, ADLS Gen2, and Unity Catalog.
• Familiarity with Infrastructure as Code using Terraform.
• Experience with CI/CD (Azure DevOps, GitHub Actions).
• Exposure to Docker/Kubernetes in cloud environments is beneficial.

Responsibilities

• Contribute to building and evolving the platform (infrastructure + reusable abstractions) that standardises data engineering workloads across teams.
• Implement platform-level IaC, CI/CD, and environment management to support reproducible workloads across dev/test/prod.
• Build and maintain components using Python and Spark for data processing, shared datasets, and platform services.
• Contribute to shared services for data and ML lifecycle management (pipelines, experiment tracking, versioning, lineage, permissions).
• Support AgentOps capabilities (LLM gateway, tool integration, prompt/version management).
• Contribute to agent-specific lifecycle and safety controls with guidance from senior engineers.
• Enhance observability across data, ML, and agent workloads (traces, evaluations, cost monitoring).
• Apply security and compliance best practices (RBAC/ACLs, secure configuration, IAM).
• Collaborate with Data Engineers, Data Scientists, and ML Engineers to enable adoption of platform capabilities.

Skills

Python

Apache Spark

Azure Databricks

ADLS Gen2

Unity Catalog

Terraform

Azure DevOps

GitHub Actions

Docker

Kubernetes

RBAC/ACLs

LLM gateway

Observability

Tools

Terraform

Job description

Platform Engineer – Data Science & AI Platform

• Full-time

We'reASOS, the online retailer for fashion lovers all around the world.

We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS,you'refree to be your true self without judgement, and channel your creativity into a platform used by millions.

Everyone needs some help showing up as their best self.We'reDisability Confident Committed - let our Talent team know if you need any reasonable adjustments throughout the recruitment process

Contribute to building and evolving the platform (infrastructure + reusable abstractions) that standardisesdata engineering workloads(batch/streaming pipelines, data processing) andtraditional ML workflows(feature engineering, training, batch/real-time serving) across teams

Implement platform-level IaC, CI/CD, and environment management to supportconsistent, reproducible workloadsacross dev/test/prod

Build and maintain components usingPython and Sparkfor data processing, shared datasets, and platform services

Contribute to shared services fordata and ML lifecycle management(data pipelines, experiment tracking, versioning, lineage, permissions), aligned to enterprise governance (e.g. Unity Catalog)

Support the implementation and operation of acentralised AgentOps capability(LLM gateway, tool integration, prompt and version management)

Contribute toagent-specific lifecycle and safety controls(evaluation pipelines, guardrails, access control), with guidance from senior engineers

Enhanceobservability across both domains:

Agent Ops: traces, responses, evaluations, cost and behaviour monitoring

Contribute to problem solving across platform reliability, performance, and security for data, ML, and agent workloads

Apply security and compliance best practices (RBAC/ACLs, secure configuration, identity and access management), supporting a secure-by-default platform design

Collaborate with Data Engineers, Data Scientists, and ML Engineers to enable adoption of platform capabilities across ASOS Tech

Contribute to documentation, standards, and best practices across the platform

Experiencein Data Platforms, Data Engineering, Cloud Engineering, or ML Platform Engineering roles, with exposure to Azure

Strong hands-on experience withPython and Apache Spark

Experience with Azure data platform technologies such asAzure Databricks, ADLS Gen2, and Unity Catalog

Working knowledge ofsecurity and access management(RBAC, ACLs, identity concepts such as Entra ID)

Familiarity withInfrastructure as Codeusing Terraform

Experience withCI/CD(Azure DevOps, GitHub Actions)

Exposure toDocker/Kubernetesin cloud environments is beneficial

Awareness ofAgentOps patterns(LLM gateways, prompt/version control, evaluation, observability) is a plus

Good communication and collaboration skills, with a strong focus on learning and continuous improvement

• Employee sample sales


• 25 days paid annual leave + an extra celebration day for a special moment


• Private medical care scheme


• Fixed Annual Payment inadditionto your salary each year,it'sjust an extra thank you from us


• Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role