Senior ML Infrastructure Engineer — Hybrid, Copenhagen

WPP Media; København; Hybrid; DKK 900,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

WPP Media, operating through Open Intelligence, seeks a Senior ML Infrastructure Engineer in a hybrid Copenhagen-based role. You will design scalable cloud infrastructure, partner with data scientists and engineers, and build robust platforms for AI workloads.

The role emphasizes reliability, observability, and maintainability in production systems. Strong background in Python/SQL, cloud platforms, and ML tooling is essential.

Qualifications

• 4+ years of experience in infrastructure engineering, platform engineering, data engineering, or large-scale software engineering.

Responsibilities

• Design, build, and maintain scalable, production-grade infrastructure that supports data and ML workloads in the cloud, primarily on GCP.
• Collaborate closely with data scientists and engineering peers to translate research prototypes into robust, production-ready systems.
• Design and implement data and ML platforms with strong 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.
• Participate in knowledge sharing, technical discussions, and continuous improvement across the team.

Skills

Python

SQL

CI/CD

Data engineering

Cloud platforms

Testing

Observability

Tools

Docker

Kubernetes

Spark

Flink

Airflow

Java

Go

C++

Job description

WPP Media, operating through Open Intelligence, seeks a Senior ML Infrastructure Engineer in a hybrid Copenhagen-based role. You will design scalable cloud infrastructure, partner with data scientists and engineers, and build robust platforms for AI workloads.

The role emphasizes reliability, observability, and maintainability in production systems. Strong background in Python/SQL, cloud platforms, and ML tooling is essential.