Software Developer in Computer Vision (KTP Associate)

Who are Allsee

• Salary band - £28k to £35k (depending upon experience) with potential for further reward based on performance and outcomes
• Initial 18 month contract with Nottingham Trent University with pathway to ongoing permanent employment with Allsee Technologies
• Although employed by NTU this will be an in-person role based at the Allsee site in Birmingham (B32 3DB)
• To apply please submit a CV and a covering letter of no more than 2 pages

Founded in 2007, Allsee Technologies is an industry-leading manufacturer of commercial grade digital signage. Working through a global network of distributors, resellers and integrators, we provide end-users across a huge variety of industry sectors with the perfect solutions to meet their needs. From classic digital advertising displays, to interactive touch screens, to seamless huge-scale DV-LED video walls, we’re always adding innovative new products to our extensive range.

With 15 years of industry expertise, our success has been driven by our commitment to innovation, having been awarded the Queen’s Award for Enterprise in Innovation, unparalleled customer service, and exceptional quality.

About You and the Role 

An exciting new opportunity has arisen for a Software Developer in Computer Vision to work in Partnership with Allsee and Nottingham Trent University (NTU) as part of a collaborative project.

The role requires competence in programming, collaboration with stakeholder and digital artists, technical evaluation of the System including AI ethics, In-field testing and knowledge dissemination.  This project provides a unique opportunity to simultaneously develop both your academic and industry experience, whilst also delivering real business impact. 

The candidate will have solid knowledge and experience of Software engineering or intelligent buildings engineering including AI image classification, and smart building digital twin Engineering Solutions. Full-stack computer programming skills, programming languages skills using Python, C or Java. The candidate should also have a strong appetite for research, scientific inquiry, critical thinking and innovation. Excellent project management, time management and organisation skills are also essential for this post.

You will have at minimum an Undergraduate degree in Computer Science or related field e.g: Engineering, Maths, Physics, Statistics, AI or Data science.

The role is part of a Knowledge Transfer Partnership (KTP) funded jointly by Innovate UK and Allsee Technologies. As a KTP Associate, you’ll work with the academic team and colleagues across Natgraph to embed knowledge and initiatives. The position will offer the ideal opportunity to apply your knowledge and experience in order to springboard your career. It includes a £4,000 training budget, 10% of your time dedicated to your own personal development and the potential to further qualifications. Read more about the scheme here: www.ktp-uk.

Questions? We recommend you get in touch with Dr Yangang Xing, Associate Professor (yangang.xing@ntu.ac.uk)

Interviews will be the Allsee Technology Ltd Office in Birmingham or remote interviews via Microsoft Teams. Anticipated date in late April- early May (tbc)

Please note if you’re applying for this position, you should not have previously been employed as a KTP Associate

Advert information