Machine Learning Engineer

Machine Learning Engineer

We’re partnering with a fast-growing AI company building systems that automatically optimise digital marketing performance for consumer brands.

Their platform replaces manual campaign management with ML-driven optimisation engines — continuously improving performance, allocating budget in real time, and directly driving revenue.

They’re now hiring a Machine Learning Engineer to help design and scale the core models behind the platform.

This is a role where your models don’t sit in notebooks — they run in production, make decisions in real time, and have a measurable impact on business outcomes.

The Opportunity

You’ll work on applied ML problems at scale, including:

• forecasting and time-series modelling
• experimentation and causal inference
• optimisation and decision-making systems

You’ll own problems end-to-end — from framing and modelling through to deployment and iteration — in a fast-moving, product-driven environment.

What You’ll Be Doing

• Build and deploy ML systems that optimise large-scale advertising spend in real time
• Develop models across forecasting, experimentation, and optimisation use cases
• Design systems that make continuous, data-driven decisions under uncertainty
• Collaborate with product and engineering to translate complex problems into scalable solutions
• Own the full ML lifecycle: research → production → iteration

What They’re Looking For

• Experience building and deploying ML models in production environments
• Strong grounding in statistics, optimisation, or applied machine learning
• Comfortable owning problems end-to-end with minimal structure
• Pragmatic, impact-driven mindset — focused on real-world performance, not just model metrics

Why This Role Stands Out

• Your work directly drives revenue for global consumer brands
• Real-world ML challenges at scale — not just offline modelling
• High ownership: you’ll take problems from idea to production
• Strong engineering culture with a focus on shipping and iteration
• Competitive compensation and meaningful equity

Who This Is For?

This role suits engineers who:

• Want to work on applied ML with clear business impact
• Enjoy solving optimisation and decision-making problems
• Prefer shipping models to production over pure research
• Like working in fast-paced, product-focused environments