Salary: £45,000 - 70,000 per year Requirements: Demonstrable end-to-end delivery ownership in engineering-led environments, with direct accountability for releases and deployment cycles. Proven ability to define release readiness, manage delivery risks, and coordinate cross-functional stakeholders. Strong QA and AI evaluation experience, with the ability to translate metrics into actionable decisions. Advanced data fluency, including SQL, BI tools, dashboards, or statistical analysis. Responsibilities: Lead end-to-end delivery cycles for Generative AI initiatives, from planning through deployment and iteration. Own release cadence, milestones, dependencies, and cross-team alignment in engineering-led environments. Oversee QA and AI model evaluation to ensure outputs meet standards for accuracy, robustness, and reliability. Interpret performance metrics and evaluation results to assess release readiness. Maintain dashboards, define KPIs and thresholds, and use SQL or equivalent BI tools to validate insights. Translate quality and performance signals into structured go/no-go recommendations and clear stakeholder reporting. Ensure releases are controlled, evidence-based, and aligned with regulatory expectations where required. Technologies: AI SQL More: We are an award-winning, internationally recognized organization specializing in delivering cutting-edge Generative AI solutions for legal, finance, and HR intelligence. This role offers a rare opportunity to lead delivery and governance over a suite of generative AI products, impacting real customers at scale. You will work closely with senior AI and engineering leaders and will be part of a team dedicated to AI innovation. The position is based in a dynamic environment dedicated to fostering professional growth within a market-leading organization. last updated 11 week of 2026