Lead AML AI SME (Google Cloud)
AMS Contingent · London · posted 29 days ago
Going rate £50,200UK median £53,295London £61,435
Home Office going rates
Occupation
2431Management consultants and business analysts
Going rate for this occupation: £50,200 · UK median pay £53,295
Home Office going rates from
Where this salary sits
- UK pay for this occupation
- This role£55,398 to £77,741estimated
- Going rate£50,200
- UK median£53,295
View these figures as a table
| Percentile | Pay |
|---|---|
| 10th | £29,980 |
| 25th | £40,202 |
| 50th | £53,295 |
| 75th | £70,977 |
| 90th | £93,362 |
| Going rate | £50,200 |
| UK median | £53,295 |
Sponsorship
Sponsorship chance
Low
- Not matched to a licence on the register
- Occupation is eligible for Skilled Worker
- Estimated salary clears the going rate
On the public records we hold, sponsorship for this role looks unlikely: not matched to a licence on the register, and occupation is eligible for Skilled Worker.
- The salary is an estimate from national earnings data, not the employer's figure.
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AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies.
Our Contingent Workforce Solutions (CWS) is one of our service offerings. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed.
Our client, a major UK retail bank, provides every day banking services to over 17 million retail customers. The banks expertise and services span across Business Services, Corporate banking, Wealth Management, Group Functions, Retail and Investment Banking. On behalf of this organisation, AMS are looking for a Lead AML AI SME (Google Cloud) for a 6 Month contract based in UK (2 days per week in office in any client's major hubs)
Purpose of the role:
As Lead AML AI SME (Google Cloud), you will lead the adoption, optimisation, and governance of a cutting-edge AI-driven Transaction Monitoring solution.
This is a hands-on SME role for someone with experience training, tuning, validating, and improving machine learning models in production environments. You'll act as the bridge between AML Operations, Model Risk, Compliance, and Engineering teams, helping drive the transition from traditional rules-based monitoring to AI-powered detection.
What you'll do:
Lead the tuning, optimisation, and configuration strategy for Google Cloud AML AI models. Define and execute backtesting frameworks to validate model performance against legacy Transaction Monitoring approaches. Establish alert thresholds and monitoring strategies that balance model effectiveness with operational capacity. Educate and upskill business stakeholders on AI outputs, model explainability, risk scoring, and governance principles. Partner with AML Operations, Compliance, Model Risk, and Engineering teams to align business objectives and technical delivery. Drive model governance, validation, documentation, and regulatory readiness activities.
The skills you'll need:
Hands-on experience training, tuning, and optimising Machine Learning models. Strong background in AML, Transaction Monitoring, Financial Crime, or Fraud Analytics. Demonstrable experience running backtesting exercises and measuring model performance. Strong technical capability with Python, SQL, BigQuery, and cloud-based ML environments. Ability to translate complex technical concepts into clear business language and educate stakeholders. Proven experience working across business, risk, and technology functions to deliver AI-driven solutions.
Information from public records, not immigration advice.