AI Software Engineer(UK Visa Sponsorship)

Automotive Jobs
Uk
December 19, 2025
Full Time Permanent
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Job Description

About the Role

As the AI Software Engineer, you will take technical ownership of the software and agentic AI prototype, leading its design, development, testing, and optimisation. You will collaborate closely with AI researchers, clinicians, NHS IT specialists, and patient and public contributors, ensuring the system meets clinical, regulatory, and user needs.

This role offers a rare opportunity to work on applied AI within the NHS ecosystem while contributing to translational research with clear patient benefit.

Key Responsibilities

You will:

  • Lead the end-to-end development of the RMD-Health software prototype in line with project goals
  • Design and integrate agentic AI components to enable autonomous data ingestion, quality checks, and decision support
  • Ensure interoperability with NHS Electronic Health Record systems, using standards such as FHIR
  • Work closely with Machine Learning Engineers to integrate ML models, explainable AI features, and decision-support logic
  • Build and maintain secure data pipelines for anonymised NHS referral and patient data
  • Ensure compliance with GDPR, NHS Information Governance standards, and relevant medical device regulations
  • Support preparation of technical documentation for UKCA / CE marking as AI as a Medical Device (AIaMD)
  • Engage with clinicians, patients, and IT teams through workshops, interviews, and pilot testing
  • Contribute to academic publications, dissemination activities, and project meetings
  • Deliver high-quality outputs to agreed timelines as part of a multidisciplinary team

Skills & Experience

You will be well suited to this role if you bring:

  • Strong experience in software engineering, ideally in AI-enabled or data-driven systems
  • Familiarity with machine learning integration, decision-support tools, or agentic AI architectures
  • Experience working with health data, secure pipelines, or regulated environments (desirable)
  • An understanding of healthcare interoperability standards such as FHIR (advantageous)
  • The ability to collaborate effectively across technical, clinical, and non-technical teams
  • A proactive, solution-focused mindset and the ability to work to tight deadlines

Visa & Right to Work Information

Due to the complexity of the Skilled Worker visa route, candidates who require sponsorship are advised to confirm their eligibility before applying. Visa routes will only be discussed with shortlisted candidates.

Useful official guidance can be found here:

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

Right to work checks:
https://www.gov.uk/check-job-applicant-right-to-work

Equality, Inclusion & Flexible Working

The University of Reading is committed to building a diverse and inclusive workforce. We proudly support:

  • The Athena SWAN Charter for gender equality
  • The Race Equality Charter
  • LGBT+ inclusion
  • Disability Confident Employer status (Level 2)

Applications for job-share, part-time, and flexible working arrangements are welcomed and considered in line with business needs.

Our approach reflects UK equality legislation and best practice:
https://www.gov.uk/discrimination-your-rights

Why Join Henley?

This role offers the chance to work at the cutting edge of AI and digital health, within a supportive academic environment that values collaboration, impact, and innovation—while contributing to research that can genuinely improve patient care across the NHS.

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