Accepting applications until: 

31 July 2026

Job Description

Your Role: AI Python Developer

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 an AI Python Developer at Global, you will be the technical backbone of this initiative, building scalable backend systems so our AI and machine learning models 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 AI and analytics use cases across Global:IQ.

• Infrastructure & Data Warehousing (30%): Integrate with cloud platforms (AWS) and Snowflake, ensuring data is accessible, performant and secure for downstream products and services.

What You’ll Love About This Role

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

Own It: Take features from idea to production, advocating for modern, AI-enabled engineering practices and high-quality code.

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

Better Together: Work closely with data scientists, engineers and product teams in a fast-paced, startup-style environment backed by enterprise-scale data and brands.

What Success Looks Like

In your first few months, you’ll have:

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

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

• Played a key part in bringing new Global:IQ features into production for real users.

• Established yourself as a technical voice in the team, contributing to standards, best practice and ways of working.

What You’ll Need

• Backend Engineering Experience: Around 3+ years working on backend services, 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 environments and modern data warehouses, ideally including Snowflake.

• AI & Data Mindset: Experience contributing to data or AI/ML-powered products, and an interest in building systems that support data workflows end to end.

• Modern Engineering Practices: Comfortable using AI-accelerated tools (e.g. Claude Code, Copilot-style tools) and working in fast-moving, highly accountable teams.

• Outcome Focus: A passion for using data and intelligence to improve campaign performance and demonstrate media value.