ASOS

3 weeks ago

Platform Engineer – Data Science & AI Platform

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Build and evolve a platform standardising data engineering and traditional ML workflows across ASOS Tech. Implement platform-level IaC, CI/CD, and environment management to deliver consistent, reproducible batch/streaming and training/serving workloads. Develop shared data and ML/AgentOps lifecycle capabilities (including LLM gateway, prompt/version control, evaluations, observability, and safety controls) while partnering with Data and ML teams to improve reliability, performance, and security.

Location: London

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Build and evolve the platform infrastructure and reusable abstractions standardising data engineering and ML workflows across teams.
•Implement IaC, CI/CD, and environment management to support consistent, reproducible workloads across dev/test/prod.
•Develop components and shared services for data and ML lifecycle management, aligned to enterprise governance (e.g., Unity Catalog).
•Support a centralised AgentOps capability and contribute to agent lifecycle and safety controls (evaluation pipelines, guardrails, access control).
•Improve observability and collaborate on platform reliability, performance, and security for data, ML, and agent workloads.

Pay and Benefits

Perks:Employee DiscountSample SalesAnnual LeavePrivate MedicalAnnual PaymentLearning Budget

Key Requirements

•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, Entra ID/identity concepts).
•Familiarity with Infrastructure as Code (Terraform) and CI/CD (Azure DevOps, GitHub Actions).

Experience:Data platformsData engineeringCloud engineeringML platform engineering

Skills:CommunicationCollaborationLearningContinuous improvement

Languages:English

Tech Stack:PythonApache SparkAzureAzure DatabricksADLS Gen2Unity CatalogRBACACLsEntra IDTerraformCI/CDAzure DevOpsGitHub ActionsAzure networkingVNetsNSGsPrivate EndpointsDockerKubernetesLLM gateway

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: 3.4

Website LinkedIn Glassdoor

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ASOS

3 weeks ago

Platform Engineer – Data Science & AI Platform

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Build and evolve the platform infrastructure and reusable abstractions standardising data engineering and ML workflows across teams.
•Implement IaC, CI/CD, and environment management to support consistent, reproducible workloads across dev/test/prod.
•Develop components and shared services for data and ML lifecycle management, aligned to enterprise governance (e.g., Unity Catalog).
•Support a centralised AgentOps capability and contribute to agent lifecycle and safety controls (evaluation pipelines, guardrails, access control).
•Improve observability and collaborate on platform reliability, performance, and security for data, ML, and agent workloads.

Pay and Benefits

Perks:Employee DiscountSample SalesAnnual LeavePrivate MedicalAnnual PaymentLearning Budget

Key Requirements

•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, Entra ID/identity concepts).
•Familiarity with Infrastructure as Code (Terraform) and CI/CD (Azure DevOps, GitHub Actions).

Experience:Data platformsData engineeringCloud engineeringML platform engineering

Skills:CommunicationCollaborationLearningContinuous improvement

Languages:English

Tech Stack:PythonApache SparkAzureAzure DatabricksADLS Gen2Unity CatalogRBACACLsEntra IDTerraformCI/CDAzure DevOpsGitHub ActionsAzure networkingVNetsNSGsPrivate EndpointsDockerKubernetesLLM gateway

Company Brief

ASOS

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: 3.4

Website LinkedIn Glassdoor