AI Engineer - Python

Your Role: AI Engineer – Python

This role sits in the Global:IQ team, building our next-generation intelligence platform. Global:IQ brings together 1st party and partner data, tools and capabilities to turn data into audience understanding and optimised, data-led media plans across audio and out-of-home.

As a mid-level AI Engineer – Python at Global, you will be a core technical contributor, building scalable backend systems that enable our AI and machine learning models to run efficiently and reliably in production.

Key Responsibilities

• Backend Engineering (50%): Design, build and maintain robust APIs and microservices using Python, FastAPI and Postgres to power the Global:IQ platform.

• Data Engineering (20%): Develop and support data pipelines and integrations that enable Global:IQ’s AI and analytics use cases.

• Infrastructure & Data Warehousing (30%): Architect and manage integrations with cloud platforms (AWS) and Snowflake, ensuring data accessibility, reliability and query performance.

What You’ll Love About This Role

Think Big: Help build the “brain” of the company, working on end-to-end AI and data capabilities that directly influence how we plan and deliver media.

Own It: Take features from idea to production, advocating for modern, AI-enabled engineering practices and strong software craftsmanship.

Keep it Simple: Turn complex data and modelling needs into clear, well-structured services and APIs that are easy to understand and maintain.

Better Together: Work in a startup-style, fast-paced environment backed by the data assets, brands and stability of a major media and entertainment company, collaborating with data scientists, engineers and product teams.

What Success Looks Like

In your first few months, you’ll have:

• Developed a solid understanding of the Global:IQ architecture, data flows and key use cases.

• Delivered your first production services and pipelines at pace, using modern AI-accelerated development practices.

• Played a key role in bringing new Global:IQ product features into production for real customers.

• Established yourself as a go-to engineer within the team, contributing to best practices and ways of working.

What You’ll Need

• Backend Engineering Experience: Around 3+ years’ experience in backend engineering, ideally in product or platform teams.

• Python & APIs: Strong proficiency in Python, with hands-on experience using FastAPI (or similar frameworks) and Postgres in production.

• Cloud & Data Platforms: Practical experience with cloud platforms and modern data warehouses, ideally including Snowflake.

• Data & AI Focus: Exposure to AI or machine learning features and a strong understanding of how to build systems that support data workflows.

• Modern Ways of Working: Comfortable using agentic and AI-accelerated engineering tools (e.g. Claude Code, Copilot-style tools) and working in accountable, fast-moving teams.

• Outcome Orientation: A passion for using data and intelligence to improve ad campaign efficiency and demonstrate the value of media investment.