2 machine learning engineer jobs

Job Intro We are passionate about building scalable, reliable machine learning systems that create real customer impact. Our team blends technical excellence with enjoyment—we learn continuously, solve meaningful problems, and celebrate the solutions we deliver. With several production ML systems already live and more coming, this is a place to grow, contribute, and thrive. Job Purpose Apply deep ML engineering expertise to design and operationalise scalable, production-grade machine learning systems across the bank. This includes architecting robust data and compute infrastructure, establishing strong MLOps foundations, and enabling high-performance deployments on Azure, Databricks, AKS, Spark, Airflow and MLflow. The role advances the bank’s ML capabilities and provides technical leadership enterprise wide. Job Responsibilities Demonstrate proven cloud experience on Azure with strong system/application architecture skills (including AKS,...

Job Purpose The purpose of the Data Engineer is to leverage their data expertise and data related technologies, in line with the Nedbank Data Architecture Roadmap, to advance technical thought leadership for the Enterprise, deliver fit for purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure of the bank to enable advanced analytics, machine learning and artificial intelligence by providing clean, usable data to stakeholders. They also create data pipelines, Ingestion, provisioning, streaming, self service, API and solutions around big data that support the Bank's strategy to become a data driven organisation. Job Responsibilities Responsible for the maintenance, improvement, cleaning, and manipulation of data in the bank's operational and analytics databases. Data Infrastructure: Build and manage scalable, optimised, supported, tested, secure, and reliable data infrastucture eg using Infrastructure and...