This senior Machine Learning Engineer works closely with data scientists and analysts to translate business needs into practical AI and ML solutions. Their experience spans model development, deployment and integration across ETL pipelines, APIs and full‑stack applications, working in close partnership with DevOps and data engineering teams to deliver production‑ready outcomes.
Their work includes delivering an end‑to‑end call summarisation capability using cloud‑based LLMs, integrating transcript ingestion, automated summarisation and user interface presentation with downstream operational systems to improve efficiency and insight.
They bring deep experience in managing and modernising machine learning platforms, including leading large‑scale migrations to Databricks and establishing best‑practice patterns for scalable, reliable and well‑governed ML delivery.