Integrating DevOps Practices into ML-Driven Systems: A Framework and Maturity Model for Continuous Machine Learning Development Edinburgh Napier University in United Kingdom

This PhD project at Edinburgh Napier University, within the School of Computing, Engineering & the Built Environment, addresses the integration of DevOps practices into machine learning (ML)-driven systems. The operationalisation of ML, known as MLOps, faces ongoing challenges in reproducibility, scalability, monitoring, and collaboration between data science and engineering teams. While DevOps has established principles for continuous integration, delivery, and deployment (CI/CD) in traditional software engineering, its application to the ML lifecycle is still evolving.

The project aims to bridge this gap by developing a systematic framework that adapts DevOps methodologies to the unique requirements of ML systems. The research will focus on unifying DevOps and MLOps practices into a coherent lifecycle for continuous ML development, proposing a maturity model to assess organisational readiness and capability, and validating the framework through case studies and experimental prototypes.

Applicants should have a strong background in computer science, software engineering, programming, and machine learning, with knowledge of DevOps and MLOps principles. Good writing and communication skills are essential, and statistics skills are desirable. The studentship covers full UK or international tuition fees and provides a standard living allowance at the RCUK rate (£21,383 per annum, subject to annual increases). International applicants must cover their own visa and NHS surcharge costs.

The application process requires a completed form, CV, two academic references, a two-page research outline, a one-page motivation statement, and evidence of English proficiency if applicable. The project code 'SCEBE1125' and the advertised title must be used. The deadline for applications is 9 January 2026, with the studentship starting in October 2026. For informal enquiries, contact Dr SR Rafi at [email protected].