Summary: The AI Engineer role focuses on designing, building, and maintaining machine learning models and pipelines specifically for fraud and financial crime detection. The position requires collaboration with solution architects and data engineers to develop AI/ML solutions while implementing MLOps practices for effective deployment and monitoring. The role is based in London and involves a hybrid working arrangement, requiring 2-3 days in the office weekly.
Key Responsibilities:
- Design, build, test, and maintain ML models and ML pipelines on Azure for programme delivery.
- Analyse business requirements and support Quantexa platform components for fraud and financial crime detection.
- Develop AI/ML solutions individually and in collaboration with solution architects and data engineers.
- Implement MLOps practices for deployment, CI/CD, unit testing, monitoring, and model governance.
- Perform data extraction, cleaning, feature engineering, and analysis to deliver business insights and value.
- Communicate analytical findings to stakeholders and contribute to release documentation and defect resolution.
Key Skills:
- Machine Learning
- Deep Learning
- Statistics
- MLOps
- CI/CD
- Model Deployment
- Feature Engineering
- Data Analysis
- SQL
- Python
- Scala
- Spark
- Azure
- Quantexa
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
I am hiring for AI Engineer – Fraud & Financial Crime
Location: London, UK - Hybrid - weekly 2-3 in office
Job Description:
- Design, build, test, and maintain ML models and ML pipelines on Azure for programme delivery.
- Analyse business requirements and support Quantexa platform components for fraud and financial crime detection.
- Develop AI/ML solutions individually and in collaboration with solution architects and data engineers.
- Implement MLOps practices for deployment, CI/CD, unit testing, monitoring, and model governance.
- Perform data extraction, cleaning, feature engineering, and analysis to deliver business insights and value.
- Communicate analytical findings to stakeholders and contribute to release documentation and defect resolution.
Key Skills: Machine Learning, Deep Learning, Statistics, MLOps, CI/CD, Model Deployment, Feature Engineering, Data Analysis, SQL, Python, Scala, Spark, Azure, Quantexa
title: AI Engineer – (Fraud & Financial Crime/MLOps/CI/CD/Azure/Insurance)
salary:
location: London Area, United Kingdom
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