Data Scientist (Machine Learning) - KTP Associate

  • 24 month fixed term post with potential for permanent employment;

  • Opportunity to register free of charge for a Higher Degree (Ph.D.)

  • Gain management experience and training;

  • Apply your degree and lead your own project in a business;

  • Work with senior company management to realise benefits to the business;

The School of Engineering & Computing at UWS is well established and an internationally recognised academic centre.

Modo Systems, an innovative high growth software business founded by an experienced management team, has created and developed MODO - a new award-winning digital experience service to unify multiple cloud storage, email, photo and social media services. MODO’S mission is to be a horizontal service which helps anybody affected by digital clutter, anywhere in the world – from busy families and students in China to business executives in UK and creatives in the US.  It is a perfect solution for both individuals and enterprises.  MODO will change the way we store and retrieve digital files - a field of exponential growth.

Modo Systems is now seeking to develop an advanced machine learning algorithm which goes beyond just a photo tagging service.  Based on their existing technology and research, Modo Systems plan to introduce artificial intelligence to include analysing, tagging and automatically captioning of images and video content.  MODO will undertake contextual analysis of the content and make recommendations and suggestions for the content to be shared or used based on the tasks a user is carrying out.  MODO can then be used to enhance the data mining techniques to better understand social changes and assess personal security threats.  Modo Systems is growing rapidly at its Glasgow HQ (based in a modern recently refurbished building) and co-located with some of Scotland’s most innovative software development companies.  The business is currently completing a seven-figure funding round to accelerate international growth.

Find out more by visiting:

University of the West of Scotland (UWS) and Modo Systems are pleased to offer this exciting KTP Associate opportunity to a post graduate in Computer Science/Software Engineering/Information Technology or with a relevant degree involving a significant amount of software development.  Given the strategic importance of the project, Modo Systems have indicated the potential to retain the Data Scientist post-KTP project; subject to performance.

The successful candidate will be a trusted member of the research and development team and will be expected, with support from a highly cooperative community of academic experts, to be responsible for the following:-

Strategic assessment of the technical challenges and business opportunities of the current MODO application;

Technical review and design specification to deliver a prototype;

Develop the MODO application content based image retrieval framework using deep learning techniques.

Additional internationally recognised academic support will be provided by a close community of industry-focused inter-disciplinary research groups (AVCN and AHCSE) and the successful applicant should exhibit entrepreneurial flair, and proactively communicate with researchers throughout the University.

About KTP:

This position forms part of the Knowledge Transfer Partnership (KTP) funded by Innovate UK.  It’s essential you understand how KTP works with business and the University, and the vital role you will play if you successfully secure a KTP Associate position.  Please visit: or contact Stuart Mckay (

The successful candidate must possess:

As a minimum, educated to post graduate level in Computer Science/Software Engineering/Information Technology or a relevant degree that combines aspects of software development

Experience of software development in C/C++, Python or Matlab and familiarity with the following technologies would be an advantage: Artificial neural network, deep learning, Artificial Intelligence, Big Data, Image/Video search and retrieval

Knowledge of programming language C/C++, Python, APIs (client and server); Cloud infrastructure; Cordova; git; GNU/Linux; HTML/CSS; MariaDB/MySQL; Mathematical modelling; Perl; PHP; Scalable services; Vanilla JS

Essential skills we require as a minimum:

Organisational skills with the ability to plan under own initiative and to work to deadlines
Good communication and interpersonal skills including report writing
Ability to collaborate with colleagues and sharing expertise.
Strong analytical and numerical skills
Ability to understand and process data

If you have questions about this vacancy contact:

T: Prof Naeem Ramzan, 0141 848 3648 or Dr Majid Anwar/Mr Kashif Khan

E: or  

Further information, including details of how to apply is available at

Closing date: Sunday 8th April 2018 , Interviews: Week commencing  16th April 2018

UWS is committed to equality and diversity and welcomes applications from underrepresented groups.

UWS is a “Disability Confident” employer.

University of the West of Scotland is a registered Scottish charity, no. SC002520


Posted in: West, Vacancy