Job Description

We are seeking a collaborative and innovative Research Software Engineer to join the UKRI-funded MED-SHED project: Machine-learning-based EEG Decision support; pioneering Social enterprise for Health Data. This is a unique opportunity to bridge the gap between cutting-edge AI research and real-world clinical care. You will play a pivotal role in developing a decision-support tool designed to help clinicians interpret brain activity (EEG) data more accurately and efficiently. You will collaborate with the NHS South West Secure Data Environment (SW SDE), building the "data factory" pipelines necessary to curate and de-identify secure NHS neurophysiology datasets. You will train and validate deep-learning classifiers against authentic NHS data, moving beyond public benchmarks to prove performance in the real world.
Crucially, you will engage in clinical immersion, spending approximately one day a week on-site at North Bristol NHS Trust (NBT). Here, you will shadow neurophysiologists to understand their workflow, gathering the feedback needed to turn prototypes into usable clinical tools.
This role offers significant exposure to the rapidly growing health data landscape in the South West. You will be working alongside a wider collaborative network of academic and NHS data professionals currently transforming how hospital data is surfaced and used for research across the region. This environment provides an excellent platform for networking and future collaboration with major local partners in health data science. You will also contribute to exploring a pioneering social enterprise model, designed to ensure AI is developed responsibly and for the public benefit.
About you
We are looking for a skilled engineer who is passionate about applying data science to solve meaningful problems in healthcare. You should be comfortable working in an Agile environment, capable of turning clinical needs into robust engineering deliverables.
You will need to demonstrate:

• A degree in Data Science, Computer Science, or equivalent experience.
• Strong hands-on experience in Python software development.
• Proficiency in machine Learning for time-series or signal processing (e.g., using PyTorch, TensorFlow, or JAX).
• Experience with collaborative development tools (e.g., GitHub) and data visualization.
• Excellent communication skills, with the ability to translate technical concepts for non-technical stakeholders (clinicians and patients).

It would be an advantage if you have:

• A PhD or equivalent experience in a computational subject.
• Experience with data engineering at scale (ETL pipelines, SQL) or MLOps.
• Knowledge of biomedical signal processing (especially EEG).
• An understanding of information security, data privacy (e.g., ISO 27001 awareness), or the NHS Digital Technology Assessment Criteria (DTAC).

Where is this role based?
This post is based at our lively campus where we have invested in the latest facilities and resources to give both our staff and students access to everything they need to succeed.
We are one of the largest providers of Higher Education in the South West with 38,000 students and 4,000 staff from right across the globe. Based in vibrant , our ambitions are to make a positive difference to our planet, transforming futures through actions and solving real world challenges.
We offer a wide range of including progressive pay rates, very generous annual leave and career average pension schemes as well as retail savings, onsite nursery and opportunities for training and personal development.
Add your individuality to ours
UWE Bristol recognises the power of a .
We are proud to be part of a dynamic, multicultural city that celebrates diversity, we're always looking for talented people from all backgrounds to join us. Our people are our strength, and diversity enhances our creativity and leads to better decision-making and problem-solving. Bring your talent and ambition to our stimulating and supportive community where we'll help you thrive.
We particularly encourage applications from global majority and male/female candidates as we are currently under-represented in this area, however all appointments are made strictly on individual merit.
As a employer we welcome applications from those who identify as having a disability.
Further information
If you would like to speak to us to find out more about this role please contact David Western on 0117 328 4986 or email:
Interviews are expected to take place at our Frenchay Campus or online in January 2026.
This is a full-time, fixed-term post until November 2026, working 37 hours per week. Opportunities for extension may arise, subject to successful applications for further funding.
This post is available on a job share basis for applicants wishing to work part time.
UWE Bristol is a campus-based University and it is vital to our success and the delivery of an outstanding experience for our students that our campuses are dynamic and vibrant places to learn and spend time. This role is therefore campus based for at least 40 percent of your time, with the opportunity to work from home on the remaining days.
This post requires basic DBS clearance.
Right to Work in the UK
The University has a legal responsibility to ensure that all employees are eligible to work in the UK. You will therefore be required to provide evidence of this right, please refer to the for information on which documents are acceptable.
We may be able to sponsor qualifying candidates for this role under the Home Office Skilled Worker visa route. Please read our to assess if you will be eligible. If you do not qualify or have no current right to work in the UK you may wish to explore .
Please note that UWE Bristol does not cover any visa or health surcharge costs.
Advice to applicants
We'd love to hear from you - if you are excited about this opportunity please complete our application form as soon as possible.
Tell us how your skills and experience relate to the requirements of this role by describing how you meet each of the essential and desirable criteria listed in the Person Specification section of the , and include specific examples wherever possible.
Once we have completed shortlisting we will let you know the outcome of your application by email, so please check your inbox for updates.

Skills Required