Overview
As a Machine Learning Engineer, you will join a collaborative team focused on enhancing data and AI capabilities within a well-established retail business. Your primary responsibilities will include designing and deploying machine learning models and developing scalable ML pipelines, all aimed at delivering measurable business outcomes. You will work closely with Data Scientists and Data Engineers to operationalise effective machine learning solutions in a modern cloud environment.
Responsibilities
- Design, build, and deploy machine learning models into production environments.
- Develop scalable ML pipelines to support model training, testing, and monitoring.
- Collaborate with Data Scientists and Data Engineers to operationalise machine learning solutions.
- Optimise model performance, reliability, and scalability across retail use cases.
- Support the development of MLOps processes and machine learning infrastructure.
- Deliver production-ready solutions that provide measurable business impact.
Requirements
- Strong experience deploying machine learning models into production.
- Advanced Python skills and experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
- Experience building and maintaining MLOps pipelines and CI/CD workflows.
- Strong knowledge of AWS, Azure, or GCP.
- Experience with Docker and Kubernetes.
- Strong SQL skills and experience working with large datasets.
- Ability to communicate effectively with both technical and non-technical stakeholders.