Senior Machine Learning Engineer (M/F/D) in London

Accepting applications until: 13 November 2026Job DescriptionYour New Role: Senior Machine Learning EngineerGlobal’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.Design, build and optimise ML and deep-learning models—including for ad targeting and attribution—with a focus on scalability, performance and accuracy, and prototype and evaluate new approaches.ML Pipelines & Real-Time Inference: Build and maintain robust end-to-end ML pipelines covering training, validation, deployment and monitoring, and develop real-time inference systems with low latency and high throughput.Monitoring & Reliability: Implement model monitoring, drift detection, alerting and retraining, and optimise models for reliability and cost efficiency in AWS.Collaboration & Enablement: Partner with data engineers to integrate ML workflows into wider platforms (Spark, Databricks), and share best practice and mentor other technical professionals.What You’ll Love About This RoleThink Big: Build ML and AI solutions that shape products, improve decision-making and unlock growth.Better Together: Work with smart, supportive people across data, engineering, analytics and the wider business.Built ML products that deliver measurable value, improving Global’s capabilities in areas such as ad targeting and attribution.Ensured ML models are reliably deployed, monitored and maintained, with automated, reproducible and scalable pipelines.Developed a strong understanding of Global’s data ecosystem, tools and operating model, particularly within DAX.What You’ll NeedProduction 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.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.Reproducible environments (UV/Docker) and MLflow or equivalent, on AWS with Spark, Databricks and Snowflake.SummaryLocation: Holborn - LondonType: Full time