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← WPP

Senior Machine Learning Engineer

WPP
Location
Copenhagen
Posted
16 days ago
Department
Technology & Innovation
What they actually want (must-haves)
  • 4+ years of 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 with CI/CD, version control, API design, and testing best practices
Nice to have
  • Familiarity with data processing and orchestration tools such as Spark, Flink, Airflow
  • Experience with infrastructure and deployment tooling such as Docker, ideally Kubernetes
  • Experience with strongly typed languages such as Java, Go, or C++
  • Interest in using AI coding assistants to improve engineering productivity
What the job really is

As a Senior Machine Learning Engineer at WPP, you will design, build, and maintain scalable infrastructure that supports data and machine learning workloads, primarily on Google Cloud Platform. You will collaborate with data scientists and engineers to translate research prototypes into production-ready systems, ensuring reliability and operational maturity. The role involves addressing technical debt, improving platform reliability, and contributing to best practices in engineering.

Things to weigh
  • Hybrid role requires candidates to reside in Denmark or relocate independently; no relocation support provided
  • The role involves working closely with both engineers and data scientists, which may require strong communication skills
  • The infrastructure is undergoing massive global expansion, indicating a potentially fast-paced work environment
Job score2.6/5
Benefits1/5
Freshness4/5
Career value4/5
Role clarity4/5
Pay transparency0/5

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