Machine Learning Scientist (Ktp Associate)

Interview Date:   Friday 01 March 2024 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 & 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 & optimisation. The Role You will work closely with business partner supervisor at TurinTech & 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: Researching and understanding the latest ensemble modelling approaches, developments, & challenges Developing and implementing ensemble modelling components / features, and ensuring a seamless integration with existing features and functionalities of the evoML production environment Conducting advanced functionality and commercial viability testing of the ensemble modelling components / features within the evoML environment Conducting client demonstration, collecting user feedback and assessing the features’ potential to enhance user experience and engagement Making and implementing decisions on administrative matters relating to strategy and business development Maintaining and nurturing relationships with all stakeholders of the project Contributing to the writing of academic publications The Person The key requirements of the post in terms of knowledge, skills and experience: Advanced degree (Master's or PhD) in Machine Learning, computer science, statistics, mathematics, or a related subject is strongly preferred. Advanced knowledge in AI and ML and a strong background in statistics Knowledge of, or interest in, ensemble modelling Proficiency in Python programming, solid grasp of Object-Oriented Programming (OOP) principles and design. Experience with version control systems such as Git & GitHub Deep knowledge of vital Machine Learning libraries like numpy, scikit-learn, etc. Experience or knowledge of PyTorch or similar deep learning frameworks would be beneficial. How to Apply To apply click on ‘Apply’ & 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 For informal enquiries about the position please contact Chief Scientific Officer at Turin Tech, Fan Wu via email fan@turintech.ai or Professor Wei Jie, University of West London, via email wei.jie@uwl.ac.uk. Additional Information 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.