Job Description

Senior Machine Learning Engineer

Hybrid | Ireland

Permanent | Competitive Package and Benefits

An exciting opportunity is available for a Senior Machine Learning Engineer to join an established global organisation in the healthcare sector, driving innovation through the design and development of new AI/ML solutions.

The role goes beyond existing models, offering the opportunity to explore new approaches and turn emerging technologies into real-world applications, with a focus on deep learning, LLMs, Agentic AI, and scalable cloud infrastructure.

Key Responsibilities:

• Collaborating with data scientists, domain experts, and key stakeholders to translate business needs into technical requirements and scalable AI/ML solutions.
• Build and maintain automated workflows covering data preparation, model development, testing, and production deployment.
• Develop and integrate deep learning, LLM, and Agentic AI capabilities into real-world applications.
• Engineer scalable environments for model training and inference across cloud and on-premises infrastructure.
• Establish monitoring and evaluation processes to track model performance, detect degradation, and improve reliability.
• Embed data privacy, security, and regulatory compliance into AI/ML development and deployment, particularly within healthcare environments.

Required Skills & Experience:

• A Master’s degree or PhD in Computer Science, Mathematics, or a related field, or a Bachelor’s degree with at least five years of relevant professional experience.
• Practical experience developing end-to-end machine learning solutions, covering data ingestion, model training, evaluation, and deployment.
• Familiarity with cloud computing platforms, preferably AWS.
• Experience working with large-scale data processing frameworks such as Apache Spark and Hadoop.
• Hands-on experience deploying scalable machine learning models using Docker and Kubernetes.
• Strong software engineering skills, including Git, unit and integration testing, maintainable code development, and CI/CD practices.
• Strong understanding of machine learning methods and model development.
• Experience integrating LLMs and Agentic AI into production applications.