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WPP

Senior Machine Learning Engineer

WPP · Copenhagen

Posted 12 days ago

or apply directly on WPP's site. We never take the application ourselves.

Is this posting real?

This role has been open
12 days
WPP's roles stay open a median of 45 days
Reposted
No
Salary listed
No
0% of WPP's roles list one
Ghost-job risk at WPP
low
0 stale, 4 reposted of 220 open
Hiring momentum
318 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from WPP's own greenhouse board since 2026-08-03. Full hiring picture for WPP.

About this role

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.

Our read on this posting2.6out of 5
benefits
1/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of WPP as an employer.

What you need

  • 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

Worth weighing

  • 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

Summarised from WPP's posting. Read the full original.

Listed by WPP on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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