Image Analysis Scientist jobs
- The University of ManchesterManchester M13 9PL
- Annual leave
- Employee discount
- Employee assistance programme
- Company pension
- The ideal candidate will have excellent computational skills and will be able to work with minimal supervision.
- GraphcoreCambridge
- Annual leave
- Employee assistance programme
- Company pension
- Private medical insurance
- Develop and evaluate new ideas in visual generative AI, multimodal modelling and world models, from initial hypothesis through experiment design, implementation…
- University of StrathclydeGlasgow
- The Research Fellows will be responsible for developing multi-modal extraction pipelines for scientific figures including images, graphs, spectra, Western blots…
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- BRAHMARemote
- Proficient in Python and PyTorch; familiar with libraries like MMPose, MediaPipe, DLIB, or image/video generation frameworks.
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- Collaborate with a wide-ranging set of scientists and engineers across teams.
- The Surreal Spatial AI group is seeking Research Scientists to build machine…
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- MBDABristol BS34 7QS
- Free parking
- Company pension
- Our GCN (Guidance, Control, and Navigation) team are delivering algorithms across the full life cycle of our products, from concept creation through to in-…
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- MBDABristol BS34 7QS
- Free parking
- Company pension
- As a Computer Vision and Artificial Intelligence Engineer within the Image Processing UK department, you will play a critical role in the development of MBDA…
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- FacultyLondon
- Annual leave
- Private medical insurance
- Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4…
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- SynthesiaLondon
- Annual leave
- Hands-on experience with diffusion models (image domain required; video preferred).
- You will join a highly focused team working at the intersection of large-…
- SynthesiaLondon
- Annual leave
- You’ll join a team that moves fast, iterates often, and builds models that ship and make a meaningful impact.
- Work on the perceptual layer of interactive agents…
- DNEGLondon W1W
- Train and fine-tune GenAI models to generate hyperrealistic synthetic media (image and/or video).
- Work with data scientists, software engineers, and product…
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- DNEGLondon W1W
- Work with data scientists, software engineers, and product managers to translate project requirements into technical solutions.
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- You will help shape how advanced AI, machine learning, and computational methods support clinical development.
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- EntrustLondon
- Have 2+ years of experience leading a team of ML scientists or research engineers.
- Have 5+ years of industry experience as an individual contributor in a…
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- Salary Search: Applied Scientist Lead - Computer Vision salaries in London
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- EntrustLondon
- Have 2+ years of experience leading a team of ML scientists or research engineers.
- Have 5+ years of industry experience as an individual contributor in a…
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- PerceptiveRemote
- Private dental insurance
- Company pension
- Private medical insurance
- Cycle to work scheme
- Season ticket loan
- Strong numerical/statistical background including image processing.
- Excellent understanding of machine learning algorithms, neural network, and statistical…
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Job Post Details
Research Assistant in AI-based Medical Image Analysis for the Early Detection of Cancer - job post
Job details
Pay
- £33,002 - £36,636 a year
Location
Benefits
Pulled from the full job description
- Annual leave
- Employee discount
- Employee assistance programme
- Company pension
Full job description
This is an outstanding opportunity for a postgraduate wishing to work in AI-based medical image analysis, with a background in machine learning, to work within the Breast Imaging Research group under the supervision of Prof Susan Astley Theodossiadis. The post holder will be in the Division of Informatics, Imaging and Data Science, and based in the Stopford Building on Oxford Road.
The candidate will support the aims of the NIHR Biomedical Research Centre. This innovative project will study AI methods for the early detection of breast cancer from mammograms.
This position offers an ideal opportunity for an enthusiastic, well-motivated individual to work as part of a sociable multi-disciplinary team consisting of a research fellow, research associate and PhD student supported by colleagues with expertise in AI and epidemiology. The ideal candidate will have excellent computational skills and will be able to work with minimal supervision. Experience of artificial intelligence and coding in Python is essential for the position.
What will you get in return:
- Fantastic market leading Pension scheme
- Excellent employee health and wellbeing services including an Employee Assistance Programme
- Exceptional starting annual leave entitlement, plus bank holidays
- Additional paid closure over the Christmas period
- Local and national discounts at a range of major retailers
As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
Our University is positive about flexible working you can find out more here
Hybrid working arrangements may be considered. Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk.
Any CV’s submitted by a recruitment agency will be considered a gift.
Please note this role is not eligible for sponsorship under the Skilled Worker route of the Points Based System. Candidates will need to be able to demonstrate their right to work in the UK in order to be eligible to take up the post.
Please note that the interviews for these posts will be held in the last week of July/first week in August
Enquiries about the vacancy, shortlisting and interviews:
Name: Prof Susan Astley Theodossiadis
Email: sue.astley@manchester.ac.uk
General enquiries:
Email: People.recruitment@manchester.ac.uk
Technical support:
https://jobseekersupport.jobtrain.co.uk/support/home
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.