AI Software Engineer(UK Visa Sponsorship)

Automotive Jobs
Uk
December 14, 2025
Full Time Permanent
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Job Description

About the Role

Henley Business School is seeking an experienced and motivated AI Software Engineer to contribute to an innovative, NIHR-funded digital health project: RMD‑Health. This project focuses on the development of a machine‑learning‑enabled decision support system aimed at improving the early identification and referral of patients with suspected rheumatic and musculoskeletal diseases (RMDs).

As the AI Software Engineer, you will take a leading role in designing, building, and testing an intelligent software prototype that meets clinical, technical, and regulatory requirements. You will work within a highly collaborative, multi‑disciplinary environment that brings together AI researchers, clinicians, NHS IT professionals, and patient and public contributors.

Key Responsibilities

In this role, you will:

  • Lead the end‑to‑end design and development of the RMD‑Health software prototype in line with project milestones
  • Implement and optimise agentic AI components to support autonomous data ingestion, data quality checking, and decision‑support workflows
  • Ensure system interoperability with NHS Electronic Health Record platforms, using standards such as FHIR
  • Work alongside the Machine Learning Engineer to integrate predictive models, explainable AI features, and decision‑support logic
  • Design and maintain secure, robust data pipelines for anonymised NHS referral and patient datasets, ensuring compliance with GDPR and NHS information governance standards
  • Support regulatory readiness, including technical documentation for UKCA/CE marking as AI as a Medical Device (AIaMD)
  • Engage with clinicians, patients, and technical stakeholders through workshops, interviews, and pilot deployments to refine system usability and performance
  • Contribute to academic outputs, including research publications, reports, and conference presentations
  • Collaborate effectively within a multi‑disciplinary research team, delivering high‑quality outputs to agreed timelines

Visa and Right to Work Information

Due to the complexity of Skilled Worker visa requirements, applicants who may require sponsorship are advised to review eligibility criteria independently via official UK Government guidance. Visa options will only be discussed with candidates invited to interview.

Equality, Diversity and Inclusion

The University is committed to fostering an inclusive and diverse working environment. We actively support the Athena SWAN Charter, the Race Equality Charter, and initiatives promoting LGBT+ equality. As a Disability Confident Employer (Level 2), we welcome applications from disabled candidates and are open to job‑share, part‑time, and flexible working arrangements, subject to operational needs.

Key Project Context

This post is funded by the National Institute for Health and Care Research (NIHR) under the Invention for Innovation (i4i) Product Development Award (Reference: NIHR206473). The successful candidate will play a central role in translating advanced AI research into a clinically usable digital health solution.

Skilled Worker visa eligibility: https://www.gov.uk/skilled-worker-visa

Informal Enquiries

Alternative contact:
Professor Keiichi Nakata
Head of Digitalisation, Marketing and Entrepreneurship
Email: k.nakata@henley.ac.uk

If you are an AI software professional interested in applying your expertise to real‑world healthcare challenges and contributing to impactful, patient‑centred research, we would be delighted to receive your application.

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