AI Engineer - IR35

Our mission is to create tech that makes a difference, empowers teams, delights customers, and shapes the media world of tomorrow.

We're one of the leading media advertising companies with over 33,000 advertising sites across the UK and EU. As part of the global Bauer Media Group, we're committed to being both a platform for brands and a platform for good. From Netflix, Disney, The National Lottery, Heineken and many more, we advertise for some of the best brands which reach millions of people every day!

We don't just sell space, we deliver impact for our clients and value for the communities we serve.

London - 1 day a week | Inside IR35

You’ll join our AI Enablement team at Bauer Media Outdoor. This role is focused on designing, building and deploying AI enabled software solutions that are used across the organisation. You’ll work closely with Product Leads to shape and deliver real solutions, including building custom AI Assistants within our internal generative AI platform, Bauer AI Chat. You’ll be accountable for technical problem solving, system design, AI integration and delivering production quality code that creates clear business value.

You can explore and experiment with new and emerging AI technology, building, shipping and owning practical, technical solutions to real business problems that are used in practice.

• Write clean, well‑tested, production‑ready code while setting high standards and mentoring engineers in AI design and delivery.
• Own system design, delivery, and evolution; resolve complex performance, scalability, and integration challenges.
• Build and operate reliable infrastructure using practical Dev Ops and MLOps practices to monitor, optimize, and improve production AI solutions.
• Communicate technical decisions clearly to non‑technical stakeholders and ensure smooth user experiences.

• 6+ years of professional software engineering experience with strong backend expertise.
• Strong proficiency in Python, with solid understanding of distributed systems, APIs, microservices, and secure software design.
• Proven experience integrating AI/LLM‑based services into production; experience in ML or computer vision is beneficial but not essential.
• Experience with Dev Ops/MLOps tooling (CI/CD, Docker, Kubernetes, monitoring, logging) and comfort owning complex technical problems end‑to‑end.

We believe in fairness and as an equal opportunities employer we work hard to foster an inclusive environment, a place where you can truly be yourself and be treated fairly.