This is a rare opportunity to blend ML, AI, and real business impact.

You’ll be joining a high growth, cloud-native technology company that has recently completed a major late stage funding round and on their way to an IPO in the near future!

This role offers the best of both worlds: the scale, profitability, and market presence of an established leader, combined with the autonomy, ownership, and speed typically found in a startup environment. As the first hire in a newly formed AI/ML team in London, you’ll play a foundational role in setting technical direction, defining best practices, and embedding AI across the organisation in a way that delivers measurable business impact

In this role, you’ll sit at the intersection of AI, data, and business operations. Your work will be visible, practical, and used. You’ll partner closely with multiple other global teams to understand where friction exists today and how AI can meaningfully improve outcomes.

A significant part of your work will involve exploring organisational data, understanding its structure, quality, and limitations and turning that insight into robust AI driven systems. You’ll design and deliver end-to-end ML solutions, from research and prototyping through to production ready pipelines, workflows and agents that are scalable and reliable.

To be suitable:

• You'll have strong hands on experience in AI/ML development who enjoys working across domains rather than focusing purely on modelling.
• You’ll likely have several years’ experience building AI-driven systems in Python, exposure to MLOps or workflow orchestration, and a solid understanding of how data flows through real organisations.
• A background in Data Science or Machine Learning evolving into modern ML engineering is ideal.

If you’re motivated by applying AI to real world business challenges, want ownership over what you build, and like the idea of shaping a new AI capability inside a growing, well backed tech company, this is a role worth exploring. Apply below or send me an email on [email protected]