King's College London

THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY

About Us

The School of Biomedical Engineering & Imaging Sciences (BMEIS), part of King’s College London, is driven by a commitment to improve the way healthcare is delivered through the use of advanced engineering. ​ 

BMEIS is a diverse and talented group working across the whole MedTech sector, advancing research, innovation and teaching progress through a shared mission of engineering better health for patients worldwide. ​The School’s state-of-the-art labs and clinical-research facilities are embedded in St Thomas’ Hospital to ensure our research projects are fully aligned with current clinical practice. Long-term collaborations with global MedTech companies and new partnerships with innovative start-ups ensure multiple pathways to translation.

Research at the school is organised into ambitious, large-scale and long-term research projects supported by set of six departments. This diverse infrastructure allows us to combine expertise and apply the latest healthcare concepts to deliver ground-breaking results.   ​ 

About The Role

The AI Centre for Value-Based Healthcare at King's College London is seeking a Staff AI Engineer to join our team as a senior individual contributor and technical delivery owner. This is an exciting opportunity to work at the forefront of healthcare AI innovation within a collaborative consortium that includes King's Health Partners, multiple NHS Trusts, and strategic commercial partners.

You will take ownership of technical delivery across a portfolio of high-impact projects that are transforming how AI technologies are developed and deployed in healthcare settings. Your work will span AI engineering, platform development, and the creation of AI-based products designed for real-world clinical use.

A core focus of the role is the continued development and scaling of our Federated Learning and Interoperability Platform, which enables AI development across distributed NHS datasets while maintaining robust data governance. You will lead efforts to extend this platform across local and national networks, potentially including forward-deployed engineering work within NHS environments.

You will also build and lead programmes of work in foundation model and multi-modal AI development, leveraging the AI Centre's high-performance compute infrastructure and collaborations with the NHS Supercomputer network. This encompasses supporting research programmes, Medtech acceleration activities, and internal R&D priorities.

The role requires close collaboration with clinical end-users, researchers, NHS Trust partners, and industry collaborators. You will need strong communication skills to bridge technical and clinical domains and to represent the AI Centre's capabilities to external stakeholders.

We are recruiting two individuals to this role who will share ownership of this portfolio. While the position does not currently include direct line management responsibilities, post holders may lead junior technical staff on a project basis as opportunities arise.

This is a full-time post (35 hours per week), and you will be offered a fixed term contract until 31 March 2027.

Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information.

About You

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria 

1. PhD awarded in Mathematics, Engineering or Computer Science or near completion.
2. Expertise in Python, including in Deep Learning and Software Engineering
3. General machine learning experience (vision, structured data, NLP)
4. Machine learning libraries (SciKit Learn, pytorch,…)
5. Local and cloud deployment including Docker, AWS, Terraform
6. Application of good software development practices
7. Functioning as an independent researcher
8. Ability to work calmly under pressure and act on initiative.
9. Experience in medical imaging

Desirable criteria

1. Knowledge of software development cycles
2. Data analysis packages (Pandas, SciPy/Statsmodels, etc.)
3. Visualisation tools (Paraview, OHIF, etc)
4. HPC computing services (SGE-like batch-queuing system, Kubernetes, Docker, Containers)
5. Commercial product lifecycle experience

Full details of the role and the skills and experience required, can be found in the attached job description which provided on the next page.

Further Information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers review your application, please take a look at our ‘How we Recruit’ pages.