Lead AI Engineer - GCP, BigQuer, Vertex AI
Location: 100% Remote
Salary: £90K-£130K + Bonus + Benefits
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 product development project. 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 Lead AI Engineer position, 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.
What You’ll Be Doing
* 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.
What We’re Looking For
* 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.
Why This Role?
* 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.