Senior Lead Machine Learning Engineer

Join our team as a Senior Lead Machine Learning Engineer, where you will provide technical leadership across the entire ML lifecycle. You will define architecture, engineering standards, MLOps practices, and governance frameworks for a large-scale matching platform. Your responsibilities will include establishing engineering standards, implementing feature stores and Lakehouse architectures, coaching engineers, and driving technical direction. You should have deep hands-on experience with SageMaker and a strong knowledge of model governance and explainability. This is a hands-on lead role requiring recent expertise in building, deploying, monitoring, and operating ML systems in production.

- Provide technical leadership across the machine learning lifecycle, including defining architecture, engineering standards, MLOps practices, and governance frameworks for a large-scale matching platform. - Define end-to-end machine learning architectures spanning data pipelines, feature engineering, model training, deployment, inference, monitoring, and telemetry. - Establish engineering standards and operational excellence, implement feature stores, Lakehouse architectures, and enterprise data quality frameworks.

- We're looking for a Senior Lead ML Engineer with a proven track record of delivering successful, production-scale machine learning solutions (ideally on AWS SageMaker) - This is a hands-on lead role requiring recent expertise in building, deploying, monitoring, and operating ML systems in production - Demonstrable success designing and delivering enterprise-scale ML platforms and products (ideally using AWS SageMaker) - Experience building reliable, low-latency inference services and operating ML workloads at scale - Proven experience solving scaling, reliability, and operational challenges for enterprise ML systems - Proven experience delivering ML solutions from data ingestion and feature engineering through to production deployment, monitoring, and continuous improvement - Background in ranking, search relevance, entity matching, or similarity modelling - Experience in KYC, Sanctions Screening or Compliance domains - Knowledge of distributed training, GPU/accelerator optimisation, and scaling strategies - Bachelors in a STEM subject, e.g. mathematics, physics, engineering, computer science, or adjacent degrees - Masters or PhD or equivalent experience in STEM