Platform Engineer – Data Science & AI Platform

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

• Implement platform-level IaC, CI/CD, and environment management to support consistent, 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 (data pipelines, experiment tracking, versioning, lineage, permissions), aligned to enterprise governance (e.g. Unity Catalog)

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

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

• Enhance observability across both domains:

• Data & ML Ops: data quality, pipeline reliability, model performance

• 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

• 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

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

• Familiarity with Infrastructure as Code using Terraform

• Experience with CI/CD (Azure DevOps, GitHub Actions)

• Basic understanding of Azure networking (vNets, NSGs, Private Endpoints)

• Exposure to Docker/Kubernetes in cloud environments is beneficial

• Awareness of AgentOps 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

BeneFITS’

• Employee discount (hello ASOS discount!)
• Employee sample sales
• 25 days paid annual leave + an extra celebration day for a special moment
• Private medical care scheme
• Fixed Annual Payment in addition to your salary each year, it's just 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