About this role
Machine Learning Engineer
Job Summary
- As a Machine Learning Engineer, you will develop, deploy, and optimise machine learning models that support AI-driven healthcare solutions and improve digital health services.
Responsibilities
- Design, develop, train, and deploy machine learning models to support healthcare applications and personalised digital health solutions.
- Analyse and process large datasets to identify patterns, improve model performance, and generate actionable insights.
- Collaborate with software engineers, data scientists, and healthcare teams to integrate AI models into existing platforms.
- Monitor, evaluate, and optimise model performance, ensuring reliability, scalability, and efficiency.
- Ensure responsible handling of health data, considering data privacy, security, and ethical AI practices.
Requirements
- Bachelor’s or Master’s Degree in Computer Science, Data Science, Mathematics, Engineering, or a related field.
- Relevant experience in machine learning, artificial intelligence, or model development and deployment.
- Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Strong understanding of statistics, data preprocessing, model evaluation, and machine learning algorithms.
- Experience working with healthcare data, digital health platforms, cloud technologies, or production ML systems is an added advantage.