Machine Learning Engineer

Accepting applications until:

13 November 2026

Your New Role: Senior Machine Learning Engineer

Global’s Data team is looking for a Senior Machine Learning Engineer to build, deploy and scale machine learning solutions—turning data science ideas into robust, production-grade products.

As a Senior Machine Learning Engineer at Global, you’ll support use cases across DAX, our digital ad exchange—such as the cross-device audience identity graph and real-time targeting algorithms. You’ll join a high-performing, cross-functional DAX squad of data engineers, product specialists and analytics experts, helping build and evolve our cutting-edge ad-serving technology for audio and Outdoor. This is a hybrid role based at our Holborn office in central London.

• Production ML experience: You’ve delivered ML and deep-learning projects at high data volume commercially, owning deployment, CI/CD, monitoring and lifecycle management.
• Strong Python: Solid Python with PyTorch or similar ML frameworks.
• Model evaluation: You diagnose why models underperform across data, features and architecture, and make reasoned trade-offs.
• Real-time & distributed ML: A strong grasp of production inference patterns, plus Spark and distributed data processing.
• Reproducibility & tooling: Reproducible environments (UV/Docker) and MLflow or equivalent, on AWS with Spark, Databricks and Snowflake.
• Engineering mindset: A focus on reliability, maintainability and continuous improvement.

• Think Big: Build ML and AI solutions that shape products, improve decision-making and unlock growth.
• Own It: Take ideas from concept to production and see the impact of your work in the real world.
• Keep it Simple: Turn complex technical challenges into scalable, practical solutions.
• Better Together: Work with smart, supportive people across data, engineering, analytics and the wider business.