Head of AI & Data Platform Engineering

We’re working with a  multi-£billion global leader  in market insights and analytics, operating in  over 90 countries , on a  multi-million-pound AI transformation programme . This is a rare opportunity to join a  build-phase  initiative that has already developed advanced machine learning models and is now focused on  productising these for real-world, high-impact internal use .

You’ll be stepping into a  Principal Engineer / Head of Platform & Engineering  position (title flexible), leading the engineering vision and hands-on delivery for a  synthetic data platform  that will be deployed to consultants globally. This is a  strategic initiative with a budget in the tens of millions of pounds  and direct  accountability to the C-suite . The platform is expected to generate  £5–10M in revenue in its first phase , scaling to  £30–50M  in the coming years.

You’ll be working at the heart of an executive-backed programme, shaping a product that combines  LLM agents, digital twins, synthetic data replicates, and agentic workflow modelling —all built on cutting-edge  Python, GCP, and Vertex AI  foundations.

• Taking  full engineering and architectural ownership  of a synthetic data platform already in the advanced build phase.
• Driving MLOps and production deployment workflows across GCP, Vertex AI, and model lifecycle management.
• Making critical design decisions—defending your technical strategy and knowing when to push back.
• Collaborating with data scientists, engineers, and external delivery partners to deliver at pace.
• Navigating complex political and organisational environments, influencing senior and executive stakeholders.
• Operating with  direct C-suite engagement  in a  global organisation with a multi-£billion turnover .

• Senior engineering authority  with proven delivery of ML/MLOps platforms into production.
• Hands-on expertise in  Python, GCP, Vertex AI , and  model lifecycle management .
• Ability to operate in a  high-visibility, high-stakes environment  with resilience and confidence.
• Strong stakeholder influence skills, including C-suite interactions.
• Track record of owning large-scale, strategic engineering programmes from design to deployment.

• Impact & Scale:  This is not R&D for R&D’s sake—this is a multi-million-pound, revenue-generating AI initiative.
• Innovation:  Synthetic data, LLM agents, digital twins, and next-gen agentic workflows.
• Visibility:  Direct exposure to the executive leadership team of a global market leader.
• Growth:  Play a pivotal role in modernising a traditional industry through AI.

?  If you’re a technically astute engineering leader who thrives in complex, high-impact environments, get in touch for a confidential discussion.