Deep learning Work, Jobs in Cambridge, Eng (with Salaries)

Research Assistant in AI for Medical Imaging (Fixed Term)
University of Cambridge —Cambridge
- £33,002 - £35,608 a year
- Computer Science
- Engineering
- University
5d
Junior Game Designer - RuneScape
Jagex: The RuneScape Company —Cambridge
- Full-time
- Hybrid work
- Scripting
- Annual leave
- Language training provided
Quick apply
Machine Learning & AI Materials Scientist
BIOVIA —Cambridge
- Hybrid work
- Doctoral degree
- English
- Master's degree
- Flexible schedule
Junior Game Designer - RuneScape
Jagex —Cambridge
- Full-time
- Scripting
- Annual leave
- Language training provided
PhD Studentship in Theory and Practice of High Dynamic Range Imaging (Fixed Term)
University of Cambridge —Cambridge
- Computer Science
- Research
- University
5d
Principal Machine Learning Engineer
Speechmatics —Cambridge
- Hybrid work
- Machine learning
- Mentoring
Sr. Applied Scientist, Alexa International
Amazon UK Services Ltd. —Cambridge
- Full-time
- Doctoral degree
- Master's degree
- AI
GNC Developer
Capgemini Sogeti —Stevenage
- Hybrid work
Junior Cloud Reliability Engineer
Jagex —Cambridge
- Full-time
- Communication skills
- Annual leave
- Flexible schedule
5d
Agentic AI Engineer (life sciences)
Healx —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Software development
- AI
- Annual leave
- Work from home
Quick apply
GNC Developer
Capgemini —Stevenage
- Hybrid work
Game Engine Programmer - RuneTek
Jagex: The RuneScape Company —Cambridge
- Full-time
- Hybrid work
- Annual leave
- Flexible schedule
Quick apply
7d
Technical Designer - Old School RuneScape
Jagex —Cambridge
- Full-time
- Scripting
- Annual leave
- Flexible schedule
Junior Cloud Reliability Engineer
Jagex: The RuneScape Company —Cambridge
- Full-time
- Hybrid work
- Communication skills
- Annual leave
- Flexible schedule
Quick apply
5d
Senior Machine Learning Research Engineer - Research Engineering - MSR Cambridge
Microsoft —Cambridge
- £74,700 - £122,600 a year
- Full-time
- Doctoral degree
- Computer Science
- Data analysis skills
Game Engine Programmer - RuneTek
Jagex —Cambridge
- Full-time
- Annual leave
- Flexible schedule
7d
Embedded Software Development Engineer, Ring
Evi Technologies Limited —Cambridge
- Full-time
- Computer Science
- System design
- Bachelor's degree
13d
Technical Designer - Old School RuneScape
Jagex: The RuneScape Company —Cambridge
- Full-time
- Hybrid work
- Scripting
- Annual leave
- Flexible schedule
Quick apply
R&D Principal Technologist
Aveva —Cambridge
- Full-time
- Hybrid work
- Annual leave
AI Research Engineer
Graphcore —Cambridge
- Doctoral degree
- Research
- Master's degree
- Annual leave
- Employee assistance programme

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Research Assistant in AI for Medical Imaging (Fixed Term)

University of Cambridge -
Cambridge

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Job details

Fixed term contract
£33,002 - £35,608 a year
5 days ago

Qualifications

Biology
Data integration
Computer Science
Computer vision
Engineering
Machine learning modelling
Deep learning
Multidisciplinary collaboration
Medical imaging
AI
Communication skills
Analytics

Full job description

Applications are invited for a Research Assistant to join a highly successful multidisciplinary collaboration between the groups of Dr Mireia Crispin and Dr Matt Hoare at the Early Cancer Institute, located on the Cambridge Biomedical Campus. Working at the interface of artificial intelligence, data science and cancer research, this work will develop next-generation computational methods to improve early liver cancer detection and accurately predict malignancy risk.

We wish to recruit a motivated individual to participate in a portfolio of data-driven projects aimed at modelling the radiological appearance of liver cancer for AI-based liver lesion detection and classification. In this role, you will be responsible for developing AI approaches to analyse liver imaging data from a large and unique in-house dataset of CT and MRI scans.

This 2-year position will expose you to cutting-edge AI methodologies, world-class clinical datasets, and a highly translational research environment that bridges the gap between computer science, radiology, and hepatology. You will develop robust and reproducible analytical pipelines and explore state-of-the-art approaches including deep learning, computer vision, foundation models, multimodal data integration, generative modelling and interpretable machine learning. Depending on your experience and project requirements, your work may include image registration, segmentation and object detection; longitudinal disease modelling; quantitative feature extraction; classification and risk prediction; and evaluation of models using clinically meaningful outcomes. You will work closely with researchers in artificial intelligence, cancer biology, radiology and clinical medicine. The role offers access to distinctive clinical datasets, specialist scientific and clinical expertise, and substantial GPU and high-performance computing resources. You will be encouraged to contribute ideas, shape new analytical directions and participate in publications, conference presentations and collaborative funding applications.

Applicants must have a degree in computer science, engineering, biology, physics, or a closely related field. The ideal candidate will have programming experience in Python and bash, alongside expertise in the analysis of large datasets and the development of machine learning models. The role holder must also have excellent written and verbal communication skills, evidence of effective collaboration, and the ability to independently solve problems, troubleshoot, and navigate relevant literature.

Prospective candidates are encouraged to contact Matt Hoare ([email protected]) or Mireia Crispin ([email protected]) directly when considering an application to discuss the project in greater detail.

Fixed-term: This Evelyn Trust funded position is available for 24 months in the first instance.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a standard Disclosure and Barring Service check. This appointment also requires a Research Passport application.

We welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements.

Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

Closing Date: 24th August 2026

Interview Date: Week commencing 7th September 2026

Please quote reference RD50503 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Apply online

Apply Now

Refine Your Search

deep learning jobs in cambridge, eng

Research Assistant in AI for Medical Imaging (Fixed Term)

Junior Game Designer - RuneScape

Machine Learning & AI Materials Scientist

Junior Game Designer - RuneScape

PhD Studentship in Theory and Practice of High Dynamic Range Imaging (Fixed Term)

Principal Machine Learning Engineer

Sr. Applied Scientist, Alexa International

GNC Developer

Junior Cloud Reliability Engineer

Agentic AI Engineer (life sciences)

GNC Developer

Game Engine Programmer - RuneTek

Technical Designer - Old School RuneScape

Junior Cloud Reliability Engineer

Senior Machine Learning Research Engineer - Research Engineering - MSR Cambridge

Game Engine Programmer - RuneTek

Embedded Software Development Engineer, Ring

Technical Designer - Old School RuneScape

R&D Principal Technologist

AI Research Engineer

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