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Senior AI Engineer on Real-world Healthcare Data

London (Central), London (Greater)
£51,974 - £54,794 per annum, including London Weighting Allowance
Closing date
8 Jul 2024

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Job Details

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 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, led by King’s College London and Guy's and Thomas’ NHS Foundation Trust, is a consortium of multiple NHS Trusts, Universities and UK and multi-national industry partners that has developed platforms allowing the development and deployment of sophisticated artificial intelligence algorithms from NHS data, to provide tools for clinicians to speed up and improve diagnosis and care across several patient pathways.

As part of these platforms, the AI centre created the Federated Learning Interoperability Platform (FLIP), which helps link data from multiple NHS Trusts and enable AI at scale. This platform is now being extended beyond tertiary care to the London Sub-national Secure Data Environment (SNSDE), enabling extended use of patient data across the care continuum.

FLIP requires significant data automation behind the scenes to automatically ingest, curate data, and make it available for algorithmic development. This role will focus exactly on building the algorithmic stack supporting this automation, i.e. building a large scale data harmonisation, labelling and curation platform. More specifically, the role aims to build a system that takes medical imaging data from the PACS, and finds what they are, and harmonises their metadata according to their modality, body part, sequence, pathology, etc, by mapping them into to the RadLex radiology playbook standard. As part of this algorithmic development journey, the applicant is also expected to make fundamental algorithmic contributions in building foundational models, spend time extracting and transforming large amounts of clinical data from our partner hospitals to transform our ability to train large, accurate and robust models.

This is a full time post, and you will be offered a fixed term contract until 31 March 2026.

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. Higher language computer programming (python)
  3. General machine learning experience (vision, structured data, NLP)
  4. Machine learning libraries (SciKit Learn, pytorch,…)
  5. Scientific / Medical Writing
  6. Ability to work calmly under pressure and act on initiative.
  7. Interest 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. Independent researcher

Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

Further information

This post is subject to Disclosure and Barring Service.

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.


King's College London is one of the top 20 universities in the world and among the oldest in England. King's has more than 27,600 students (of whom nearly 10,500 are graduate students) from some 150 countries worldwide, and some 6,800 staff.

King's has an outstanding reputation for world-class teaching and cutting-edge research. In the 2014 Research Excellence Framework (REF) King’s was ranked 6th nationally in the ‘power’ ranking, which takes into account both the quality and quantity of research activity, and 7th for quality according to Times Higher Education rankings. Eighty-four per cent of research at King’s was deemed ‘world-leading’ or ‘internationally excellent’ (3* and 4*). The university is in the top seven UK universities for research earnings and has an overall annual income of more than £684 million.

King's has a particularly distinguished reputation in the humanities, law, the sciences (including a wide range of health areas such as psychiatry, medicine, nursing and dentistry) and social sciences including international affairs. It has played a major role in many of the advances that have shaped modern life, such as the discovery of the structure of DNA and research that led to the development of radio, television, mobile phones and radar.

King's College London and Guy's and St Thomas', King's College Hospital and South London and Maudsley NHS Foundation Trusts are part of King's Health Partners. King's Health Partners Academic Health Sciences Centre (AHSC) is a pioneering global collaboration between one of the world's leading research-led universities and three of London's most successful NHS Foundation Trusts, including leading teaching hospitals and comprehensive mental health services. For more information, visit:

King’s £600 million campaign, World questions|KING’s answers, has delivered huge global impact in areas where King’s has particular expertise. Philanthropic support has funded new research to save young lives at Evelina London Children’s Hospital; established the King’s Dickson Poon School of Law as a worldwide leader in transnational law; built a new Cancer Centre at Guy’s Hospital; allowed unique collaboration between leading neuroscientists to fast-track new treatments for Alzheimer’s, Parkinson’s, motor neurone disease, depression and schizophrenia at the new Maurice Wohl Clinical Neuroscience Institute; created the Cicely Saunders Institute: the first academic institution in the world dedicated to palliative care, and supported the King’s Sierra Leone Partnership in the Ebola crisis. Donations provide over 300 of the most promising students with scholarships and bursaries each year. More information about the campaign is available at

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