
My Company is based in London and appears to operate at the intersection of data and artificial intelligence, likely serving organisations that rely on sophisticated analytics and machine learning to drive decisions. The team works with modern cloud and ML infrastructure, suggesting a technically mature environment where data products are built and scaled with care. This is likely a role within a dedicated AI function, indicating that machine learning and data engineering are central to the business rather than peripheral initiatives.
This is a senior individual contributor role sitting within the AI department, responsible for shaping how analytical and machine learning systems are built, optimised, and maintained at scale. You will work across the full lifecycle — from refining model performance and hardening LLM pipelines to establishing MLOps practices on Databricks and AWS. The position carries real architectural influence, with the opportunity to set standards that the wider team builds on.