Platform Engineer – Data Science & AI Platform

ASOS
London
Workplace: HybridFull timeFunction: DevOps, Cloud & InfrastructureSkills: ["Communication","Collaboration","Problem solving","Continuous improvement"]

Build and evolve the data science & AI platform that standardises batch/streaming data engineering workloads and ML pipelines. Implement platform-level infrastructure as code, CI/CD, and environment management to ensure consistent, reproducible runs across dev/test/prod. Develop Python + Spark components, contribute shared data/ML lifecycle services, and support AgentOps capabilities with secure, observable, governance-aligned platform operations using Azure technologies.

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FursaFursa
ASOS
ASOS
1 day ago

Platform Engineer – Data Science & AI Platform

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build and evolve the data science & AI platform that standardises batch/streaming data engineering workloads and ML pipelines. Implement platform-level infrastructure as code, CI/CD, and environment management to ensure consistent, reproducible runs across dev/test/prod. Develop Python + Spark components, contribute shared data/ML lifecycle services, and support AgentOps capabilities with secure, observable, governance-aligned platform operations using Azure technologies.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Contribute to building and evolving the platform infrastructure and reusable abstractions for data engineering and traditional ML workflows.
  • •Implement platform-level IaC, CI/CD, and environment management to support consistent workloads across dev/test/prod.
  • •Build and maintain Python and Spark components for data processing, shared datasets, and platform services.
  • •Contribute to shared services for the data and ML lifecycle, including experiment tracking, versioning, lineage, and permissions aligned to enterprise governance.
  • •Support AgentOps lifecycle and safety controls and enhance observability across data/ML ops and agent ops (traces, evaluations, cost monitoring).

Pay and Benefits

Perks:Health InsurancePaid LeaveLearning Budget

Key Requirements

  • •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).
Experience:Data platformsData engineeringCloud engineeringML platform engineeringData scienceAI platformsAzure
Skills:CommunicationCollaborationProblem solvingContinuous improvement
Languages:English
Tech Stack:PythonApache SparkAzureAzure DatabricksADLS Gen2Unity CatalogTerraformCI/CDAzure DevOpsGitHub ActionsVNetsNSGsPrivate EndpointsDockerKubernetesLLM gatewayEntra IDRBACACLs

Company Brief

ASOS
ASOS plc is a UK-based online fashion and beauty retailer selling thousands of branded and own-label products worldwide through its e-commerce platform, targeting young adult customers with fast-fashion, marketplace third-party brands, and integrated logistics and marketing services.
Industry: E-commerce
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 2000
Glassdoor
Glassdoor: 3.4
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