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We are seeking a talented Machine Learning Engineer to design and build advanced machine learning and AI solutions that enhance our ability to detect financial crime, prevent fraud, and safeguard our customers. Working closely with data scientists and engineers, you will focus on developing scalable ML pipelines, building production-ready model code, and supporting robust monitoring systems. You will contribute across the full machine learning lifecycle, from initial concept and data exploration through to deployment, while ensuring adherence to governance, documentation, and regulatory standards.
Job Responsibility
Design and build advanced machine learning and AI solutions that enhance our ability to detect financial crime, prevent fraud, and safeguard our customers
Developing scalable ML pipelines, building production-ready model code, and supporting robust monitoring systems
Contribute across the full machine learning lifecycle, from initial concept and data exploration through to deployment, while ensuring adherence to governance, documentation, and regulatory standards
Requirements
Proven experience in machine learning development, including training and/or deploying models in production environments
Strong programming skills in Python
Experience working with distributed data processing frameworks (e.g., Spark)
Familiarity with deep learning or NLP frameworks (e.g., PyTorch, Hugging Face)
Good understanding of software engineering principles and machine learning lifecycle practices (MLOps/LLMOps)
Experience contributing to ML projects and working with cross-functional stakeholders
Nice to have
Exposure to LLMs and agentic AI systems, or an interest in developing expertise in this area (e.g., LangGraph, CrewAI, AWS Bedrock, Anthropic SDKs)
Experience with cloud platforms (AWS, Azure, or GCP) or ML platforms (e.g., Databricks)
Exposure to fraud detection, anti-money laundering, anomaly detection, or graph-based modelling
Understanding of model governance, risk management, and regulatory considerations in financial services