Senior Machine Learning Engineer

WPP
Copenhagen
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 4+ yearsSkills: ["Communication","Collaboration","System design","Operational excellence","Automation"]

Build and maintain scalable, production-grade infrastructure that powers data and ML workloads for the Open Intelligence activation arm of WPP. Collaborate with data scientists to translate prototypes into reliable systems, design platforms with strong reliability and observability, and reduce technical debt and operational friction. You’ll primarily work with GCP, strengthen engineering best practices across CI/CD and testing, and help expand capabilities across EMEA and APAC.

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FursaFursa
WPP
WPP
4 days ago

Senior Machine Learning Engineer

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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

Job Summary

Build and maintain scalable, production-grade infrastructure that powers data and ML workloads for the Open Intelligence activation arm of WPP. Collaborate with data scientists to translate prototypes into reliable systems, design platforms with strong reliability and observability, and reduce technical debt and operational friction. You’ll primarily work with GCP, strengthen engineering best practices across CI/CD and testing, and help expand capabilities across EMEA and APAC.
Location: Copenhagen
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and maintain scalable production-grade infrastructure supporting data and ML workloads in the cloud, primarily on GCP.
  • •Collaborate with data scientists and engineers to translate research prototypes into robust production-ready systems.
  • •Design and implement data and ML platforms with reliability, scalability, observability, and operational maturity.
  • •Identify and address technical debt, bottlenecks, and inefficiencies across infrastructure and platform components.
  • •Contribute to engineering best practices across CI/CD, version control, testing, automation, and repo maintenance.

Pay and Benefits

Perks:Remote Work

Key Requirements

  • •4+ years experience in infrastructure engineering, platform engineering, data engineering, or large-scale software engineering.
  • •Strong practical experience with Python and SQL.
  • •Experience designing and operating systems in cloud environments such as GCP, AWS, or Azure.
  • •Familiarity with ML frameworks such as PyTorch or TensorFlow.
  • •Familiarity with MLOps tools such as MLflow, Kubeflow, or similar ML platforms.
Experience:4+ yearsData scienceAdtechMachine learningML infrastructureData engineering
Skills:CommunicationCollaborationSystem designOperational excellenceAutomation
Languages:English
Tech Stack:PythonSQLGCPAWSAzurePyTorchTensorFlowMLflowKubeflowCI/CDVersion controlAPI designTestingSparkFlinkAirflowDockerKubernetesJavaGo

Company Brief

WPP
Global marketing and communications services group offering advertising, media investment management, branding, public relations, and digital services to multinational clients across industries.
Industry: Advertising Media Groups
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: 1971
WebsiteLinkedIn