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# AI Research Engineer / Senior AI Research Engineer in Cancer Data Driven Detection

- **Company:** University of Sheffield
- **Location:** Sheffield, UK
- **Experience:** Expert
- **Salary:** £32,080.0 - £36,636.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Data Analysis, Application Packaging, Collaborative Software, Data Integration, Github, Interoperability, Machine Learning, Open Source Technology, Software Architecture, Tensorflow, Software Engineering, Document Enterprise Platform, Pytorch, Information Technology, HuggingFace, Software Version Control
- **Published:** July 26, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=eeb56a194fed9671

## About the Role

We offer a fantastic range of benefits including a highly competitive annual leave entitlement (with the ability to purchase more), a generous pensions scheme, flexible working opportunities, a commitment to your development and wellbeing, a wide range of retail discounts, and much more., Bachelor's or master's degree in computer science, engineering, applied mathematics, data science or a related area (or equivalent experience)., Ability to work effectively as part of a team, with good time and project management skills., In-depth knowledge and solid practical skills in AI, machine learning, and data analysis., Ability to carry out evidence-based assessment and decision-making, and to develop end-user-targeted software and disseminate research outcomes., Effective communication skills, both written and verbal, including report and paper writing., Ability to work in an interdisciplinary environment and collaborate with researchers from subject areas other than your own to specify, develop, improve, and deliver research software., Experience with collaborative software development on GitHub or equivalent platforms., Experience with healthcare and biomedical research, and PyTorch and related machine learning frameworks.

## Description

As an AI Research Engineer, you will develop and benchmark adaptive multimodal learning models for cancer risk prediction, equipping them with robust domain adaptation capabilities to ensure accuracy across diverse populations and healthcare settings. You will combine multimodal data and domain knowledge to enable interpretable predictions and provide deeper insights into decision-making. Utilising best-practice software engineering, you will build open-source, FAIR-compliant software that is transparent and accessible, while collaborating nationally to shape an open research infrastructure for cancer., Develop findable, accessible, interoperable, and reusable (FAIR) multimodal AI software, tools, and workflows to support multiple interdisciplinary cancer risk prediction projects across CD3 driver programmes and institutions.
Build, deploy, and maintain multimodal AI prototypes and models using frameworks such as PyTorch, ensuring reproducibility and robustness.
Build, maintain and enhance multimodal cancer risk prediction infrastructure, including open-source repositories, documentation platforms, and benchmarking leaderboards on mainstream platforms such as GitHub or Hugging Face.
Work closely with other CD3 teams to advise on multimodal AI approaches, data integration, and evaluation protocols, ensuring alignment with open research principles and a deployment-centric focus.
Contribute to the implementation of baseline multimodal AI models and evaluation protocols for multimodal cancer risk prediction benchmarks.
Collaborate with other CD3 teams to gather requirements, address technical challenges, and ensure practical, real-world relevance of outputs.
Disseminate research outcomes through multiple channels, including software packaging and release, technical documentation, contributions to academic papers, conference presentations, tutorials, and other training materials.
As a member of staff, make ethical decisions in your role and embed the University's sustainability strategy into your work wherever possible.
Contribute to equality, diversity and inclusion through fostering an inclusive culture in CD3 and participating in initiatives and activities to enable this.
Carry out other duties commensurate with the grade and remit of the post.

In addition, Senior AI Research Engineers (Grade 7) will:
Design multimodal learning software architecture and prototypes.
Lead the writing of high-quality papers/reports on multimodal AI for cancer risk prediction and other ways of disseminating research outcomes.
Lead multimodal AI training and interactions with collaborators and partners.
Organise project meetings with stakeholders and manage follow-up actions.

Person Specification

Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone feels they belong and is respected. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply., Familiarity with reproducible software development using best practices in software engineering, including testing, documentation, and version control.


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