Lead ML Engineer (SageMaker)

Job Title: Lead Machine Learning Engineer (SageMaker, MLOps, Explainability)Job DescriptionWe are seeking an experienced Lead Machine Learning Engineer to design, build, and productionise machine learning models for our innovative matching platform. You will work across the entire ML lifecycle, from feature engineering to deployment automation, ensuring the optimisation and explainability of inference processes. Collaborating closely with data scientists and product teams, your role will focus on enhancing MLOps practices, ensuring high standards of security, performance, and compliance.ResponsibilitiesBuild and maintain scalable feature pipelines within data lakehouse architectures.Develop fallback feature flows and implement robust data quality checks.Develop ranking, scoring, and entity-similarity models for the matching platform.Use modern ML model frameworks such as PyTorch, TensorFlow, or XGBoost.Apply SHAP or similar techniques to generate interpretable model explanations.Build and maintain training, processing, and inference pipelines using AWS SageMaker.Deploy and optimise low-latency, real-time inference endpoints.Implement feature drift and concept drift monitoring.Apply procedures for data handling, encryption, PII minimisation, and auditability.Conduct validation of models using golden datasets and baseline tests.Essential SkillsStrong experience delivering production-grade ML systems.Proficiency with AWS SageMaker, including training jobs and Model ..... full job details .....