About this role
Salary: £50,000 - 70,000 per year
Requirements: Hands-on experience training, tuning, and optimising machine learning modelsStrong background in AML, transaction monitoring, financial crime, or fraud analyticsDemonstrable experience running backtesting exercises and measuring model performanceStrong technical capability with Python, SQL, BigQuery, and cloud-based machine learning environmentsAbility to translate complex technical concepts into clear business language and educate stakeholdersProven experience working across business, risk, and technology functions to deliver AI-driven solutions Responsibilities: Lead the tuning, optimisation, and configuration strategy for Google Cloud AML AI modelsDefine and execute backtesting frameworks to validate model performance against legacy transaction monitoring approachesEstablish alert thresholds and monitoring strategies that balance model effectiveness with operational capacityEducate and upskill business stakeholders on AI outputs, model explainability, risk scoring, and governance principlesPartner with AML Operations, Compliance, Model Risk, and Engineering teams to align business objectives and technical deliveryDrive model governance, validation, documentation, and regulatory readiness activities Technologies: AIBigQueryCloudMachine LearningPythonSQLDevOps More:
We are AMS, a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive by building, shaping, and optimising diverse talent strategies. Through our Contingent Workforce Solutions, we act as an extension of our clients recruitment teams and connect them with skilled interim and temporary professionals. Our client is a major UK retail bank serving over 17 million retail customers across Business Services, Corporate Banking, Wealth Management, Group Functions, Retail, and Investment Banking. We are hiring a Lead AML AI SME (Google Cloud) for a 6-month contract based in the UK, with 2 days per week in the office at any of the clients major hubs. This is a hands-on SME role focused on leading the adoption, optimisation, and governance of an AI-driven transaction monitoring solution, and the client will only accept workers operating via an Umbrella or PAYE engagement model.
last updated 33 week of 2026