Machine Learning Engineer

The platform applies machine learning to real-world data to analyse and improve how content performs at scale, moving decision-making away from guesswork and towards measurable insight. AI is a core part of the product and is already embedded in live, customer-facing workflows, running on a cloud-native stack with strong use of Google Cloud Platform (GCP).

What You'll Be Doing

• Lead the development and deployment of machine learning models used in a live SaaS product
• Own models end-to-end from experimentation through production deployment, monitoring, and iteration
• Work closely with product, engineering, and non-technical stakeholders to embed AI into real workflows
• Improve the scalability, reliability, and performance of existing ML systems
• Review code and architecture, setting a high engineering standard
• Analyse data and run ad-hoc studies to generate actionable insights into marketing effectiveness

• Strong experience as a Machine Learning Engineer / AI Engineer in a product-led environment
• Advanced Python skills and hands-on experience with PyTorch, TensorFlow, or similar ML libraries
• Experience deploying and maintaining ML models in production
• Solid software engineering fundamentals (algorithms, data structures, clean code)
• Comfortable working with Docker and containerised systems
• Experience collaborating cross-functionally and owning delivery, not just models
• A mindset focused on impact, curiosity, and continuous improvement