About the role
As AI Scientist you will take a central, practical role in optimising and transforming the core research machine learning models that power Sia into robust, production-ready AI components suitable for a regulated medical device. You will work closely with our software engineer, platform integration specialist, clinicians, and regulatory experts to refactor models, run experiments, ensure reliability and explainability, and generate the evidence required to meet IEC 62304 standards.
This position suits an AI specialist who thrives on hands-on problem solving and enjoys moving innovative research models into real-world clinical applications.
What you will do
- Optimise multimodal machine learning approaches for production deployment, focusing on interpretability, generalisation, efficiency, scalability, robustness and clinical-grade performance.
- Design and execute structured tests across diverse patient cohorts, imaging modalities, biomarkers and real-world datasets to validate model behaviour.
- Develop and implement AI monitoring approaches, harmonisation and missing data approaches, drift detection, performance benchmarking and explainability processes.
- Collaborate closely with the Software Engineer to integrate AI components into the secure Sia platform architecture.
- Help create and maintain the technical documentation, risk management records, and technical file needed for regulatory submissions and DTAC readiness.
- Work collaboratively with engineering, clinical, and regulatory team members to keep development activities on track.
- Contribute to plans for EHR interoperability, secure data connections, cybersecurity measures, and information governance.
- Engage with external partners and suppliers on data-related tasks, early testing, and constructive feedback.
- Support the preparation and updating of test protocols, methods, and reports in readiness for formal verification and validation.
Essential requirements
- Advanced degree (MSc or PhD) in Machine Learning, Artificial Intelligence, Computer Science, Biomedical Engineering or a closely related field.
- 2–4 years of practical experience developing and optimising ML approaches, with clear involvement in imaging, tabular clinical data or biomarkers.
- Strong proficiency with programming tools (Python, Matlab) and ML frameworks (PyTorch) and production ML tools.
- Demonstrated ability to refactor research code into clean, maintainable, version-controlled production components.
- Ability to collaborate effectively in a team setting and communicate comfortably with external consultants and clinical partners.
- Capability to handle several tasks at once and deliver against deadlines in a dynamic start-up environment.
- Strong written and spoken communication skills.
Desirable requirements
- Prior exposure to regulated environments such as medical devices or health technology, ideally with some familiarity with IEC 62304 or risk management for AI/ML.
- Experience working with cloud platforms or MLOps pipelines in healthcare or similarly regulated settings.
- Background in neuroscience, dementia research or clinical data handling.
- Ability to take ownership of smaller, clearly scoped work packages with minimal supervision.
How to Apply
We are looking for someone to join the team as soon as possible and will be reviewing applications on a rolling basis. If this sounds like you;
Send your CV and cover letter to [email protected] referencing job reference PR062602 or reach out for a confidential conversation at [email protected]. Applicants must have the right to work in the UK.