Machine Learning Engineer

- Develop, train, and optimise machine learning models for production applications - Work with large datasets to build predictive and analytical models - Collaborate with data scientists to transition models from research to scalable production systems - Design and maintain machine learning pipelines and model deployment infrastructure - Implement automated model training, validation, and monitoring processes - Ensure models are scalable, reliable, and performant in production environments - Work with data engineers to build efficient data pipelines and feature engineering processes - Optimise data workflows to support model development and experimentation - Contribute to the development of robust ML infrastructure and tooling - Work closely with product, engineering, and analytics teams to integrate ML models into applications - Translate business requirements into machine learning solutions - Communicate technical insights clearly to stakeholders - Monitor model performance and retrain models as required - Identify opportunities to improve algorithms, data pipelines, and system performance - Stay up to date with emerging machine learning technologies and best practices