Senior Machine Learning Engineer II - FinCrime
Wise · London
£111k–£145k2 months ago
HybridFull_timemlopsfraud detectionanti-money laundering
£111k–£145k
2 months ago
Salary
£111k–£145k
Workplace
Hybrid
Employment
Full_time
Location
London
Posted
2 months ago
Summary
Senior machine learning engineer role focused on building the label integrity layer for risk and financial crime machine learning models. The role covers statistical quality monitoring, automated audits, model lifecycle work, and pipeline deployment using Python or Java, SQL, and Kafka. It is an individual contributor position with a hybrid working arrangement and a £111,000–£145,000 annual salary plus equity.
Responsibilities
- Build and maintain the label integrity layer
- Define statistical quality metrics for labels
- Design automated label quality audits
- Monitor label quality and statistical behavior
- Train and evaluate machine learning models
- Deploy machine learning pipelines
pythonjavasqlstatistical analysismachine learningneural networksnatural language processinggraph neural networkssupport vector machinestransformerslstmskafkadata visualization
mlopsfraud detectionanti-money launderingdata qualitystatistical monitoringrisk intelligence
