Salary: £32,800 to £39,018 per annum Release Date: Monday 15 January 2024 Closing Date: Sunday 18 February 2024 Interview Date: Friday 01 March 2024 Reference: COMP0058
The University of West London (UWL), in partnership with Turing Intelligence Technology Limited (TurinTech), offers an exciting opportunity for a Machine Learning Scientist to work on newly funded Innovate UK Knowledge Transfer Partnerships (KTP) project. This complex and highly technical project requires an academically qualified KTP Associate who has strong theoretical knowledge in machine learning / computing / mathematics, but the project team does not seek previous work experience from the candidate.
Primarily based at TurinTech's office in central London, the KTP Associate will lead the design and implementation of a smart engine that intelligently discerns the most optimal ensemble machine modelling technique set to improve the efficiency and accuracy of the AI-powered evoML platform commercialised by TurinTech. The evoML platform can automate the entire machine learning model development process, by providing automated functionalities in machine learning code generation and optimisation.
This is a career development opportunity for an enthusiastic KTP Associate to manage a KTP project fully supported by a team of industry and academic experts in machine learning and data science.
In this project, you will work closely with business partner supervisor at TurinTech and the company's research and engineering teams, to explore ways of incorporating UWL academic team's expertise into the evoML platform in the form of features and functionalities offered by the platform. Ensemble modelling functionalities developed during this project period will become a part of the permanent suit of tools offered by evoML, thereby increasing the commercial potential of the platform. Your main duties will include:
The key requirements of the post in terms of knowledge, skills and experience:
The general skills requires include
As a KTP Associate, You will have the passion and desire to organise your own time effectively and you will have a flexible approach to prioritising work tasks and drive transformational change in the world. You will be offered the following benefits:
How to Apply
To apply click on ‘Apply Online' and fill out the application form. Further information about the application process can be found here: https: // jobs.uwl.ac.uk/display.aspx?id=1253 &pid=0
Please email [email protected] if you need any assistance with the application process.
Interviews are expected to be held on 1st March 2024.
For informal enquiries about the position please contact, Chief Scientific Officer at Turin Tech, Fan Wu via email [email protected] or Professor Wei Jie, University of West London, via email [email protected].
Our school is under-represented in terms of staff from BAME (Black, Asian and minority ethnic) backgrounds, of LGBT+ identities, and with disabilities. UWL is committed to having a diverse and inclusive workforce, supports the gender equality Athena SWAN Charter, and is a Disability Confident Employer as well as a Diversity Champion for Stonewall, the leading LGBT+ rights organisation. We welcome applications from all sections of the community, particularly those mentioned above to increase diversity in our workforce.
Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006.
This position does not meet the University criteria for Skilled Worker sponsorship.
We will intermittently review the applications as part of this open advert, therefore if successful, you will be shortlisted and contacted at any time.
The University of West London reserves the right to close the role prior to this date should a suitable applicant be found.
Apply OnlineFurther details: