hybrid

Machine Learning Software Developer

The University of Edinburgh is seeking an enthusiastic Entry-Level Machine Learning Software Developer to join the Learning Model of Life initiative. This role involves building and optimizing automated tools for diverse clinical and biological datasets to support the design, development, and training of advanced AI models, contributing to the future of biological science and genetic research.

About the role

The Opportunity

Founded in 2024, the Learning Model of Life is a cross-college initiative of The University of Edinburgh. We are a constituent of the University’s Generative AI Lab (GAIL) and are supported by EPCC, the UK’s leading centre of Supercomputing and Data Science. We are now looking for an enthusiastic Software Developer to support this ground breaking program of research. You'll be instrumental in building and optimising automated tools that handle diverse clinical and biological datasets, which are crucial for the design, development, and training of advanced AI models. Your work will directly contribute to the future of biological science and genetic research. You will work in a vibrant academic environment at the University of Edinburgh, surrounded by experts in biology, medicine, computing, and machine learning. You'll have freedom to innovate, support to grow, and the opportunity to contribute to research that will transform the future of healthcare and beyond.

This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.

Your Skills And Attributes For Success

Relevant undergraduate degree, in a relevant discipline (e.g., artificial intelligence, computer science, software engineering).
Experience and skill in data analyses.
Understanding of the principles of security and confidentiality of personal data in a research context.
Ability to thrive in a rapidly changing environment with high ambiguity; self-starter mentality.
Familiarity with Python, Pandas, NumPy, SQL, & Git amongst other.

As a valued member of our team, you can expect:

A competitive salary of £33,882 - £39,105 p.a.
An exciting, positive, creative, challenging and rewarding place to work.
To be part of a diverse and vibrant international community
Comprehensive Staff Benefits, such as a generous holiday entitlement, a defined benefits pension scheme, staff discounts, family-friendly initiatives, and flexible work options.

About the role

The Opportunity

Your Skills And Attributes For Success

Relevant undergraduate degree, in a relevant discipline (e.g., artificial intelligence, computer science, software engineering).
Experience and skill in data analyses.
Understanding of the principles of security and confidentiality of personal data in a research context.
Ability to thrive in a rapidly changing environment with high ambiguity; self-starter mentality.
Familiarity with Python, Pandas, NumPy, SQL, & Git amongst other.

As a valued member of our team, you can expect:

A competitive salary of £33,882 - £39,105 p.a.
An exciting, positive, creative, challenging and rewarding place to work.
To be part of a diverse and vibrant international community
Comprehensive Staff Benefits, such as a generous holiday entitlement, a defined benefits pension scheme, staff discounts, family-friendly initiatives, and flexible work options.