University of Hertfordshire
Post Title: AI/ML Software Engineer (KTP Associate)
SBU/Department: School of Physics, Engineering & Computer Science
FTE: 1 FTE (working 37.5 hours per week)
Duration of Contract: Fixed-term contract for 31 months
Salary: KTP Grade £35k-£42k pa depending on skills and experience
Location: University of Hertfordshire, Hatfield, AL10 9AB and 70A Leys Avenue, Letchworth, Hertfordshire, SG6 3EG.
An exciting opportunity has become available for a qualified graduate to deliver a Knowledge Transfer Partnership (KTP) with Delight Supported Living Ltd. This position is a 31-month fixed term, full-time contract.
About Delight Supported Living Ltd
Delight Supported Living (DSL) is a Care and Domiciliary Care provider in the Health & Social Care sector. DSL was originally registered to deliver home care to vulnerable adults we now also deliver to vulnerable adults with learning disabilities and provide nurses and care staff to the NHS, care homes and mental health hospitals.
As a KTP Associate, you will work with the company to embed new know-how through this innovation project using research and academic support from the University knowledge base. Apply your degree through real work and springboard your career. This position forms part of the Knowledge Transfer Partnership (KTP) funded by Innovate UK. Knowledge Transfer Partnerships is a partly government-funded programme to encourage collaboration between businesses and universities in the United Kingdom.
Main duties and responsibilities
The role is to lead a Knowledge Transfer Partnership (KTP) between the University of Hertfordshire and Delight Supported Living. The project aims to develop assistive technology in monitoring using AI and Machine Learning, for use in residential or industry settings that monitor changes in individuals’ health and highlight the potential need for emergency attention.
You will investigate various cameras and design an Artificial Intelligence/ Machine Learning powered software system, develop the designed software system and validate/test it whilst working closely with supervisors from University and DSL to disseminate project progress in a timely manner.
The KTP Associate will lead weekly meetings with the company supervisor, Head of Care and Director on progress, new KB knowledge and development, produce technical documentation to describe project progress using technical diagrams and system architectures, along with carrying out presentations, briefing sessions, workshops and reports to explain technical concepts.
Skills and experience required
You will require demonstratable technical skills and understanding in Machine Learning (including Deep Learning) and AI, experience in programming applications in C/C++, Java or Python; using Machine Learning library: TensorFlow, Keras and/or PyTorch Software development, gathering complex information and share with a range of audiences and stakeholders.
The successful candidate will also be capable of building long-term relationships and networking effectively whilst being proactive in solving unexpected problems effectively and quickly. You will have excellent verbal and written communication skills in English.
Experience in a healthcare environment and the ability to develop innovative and highly efficient solutions to defined problems are advantageous for this role.
A first degree in Computer Science or closely related subject at a 2:1 level and/or has obtained a higher degree such as a MSc or PhD.
An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate
Contact Details/Informal Enquiries:
Sharon Loughlin ([email protected])
Closing Date: 30 March 2023
Interview date: TBC
Reference Number: 049655
Date advert placed: 16 March 2023
Our vision is to transform lives and UH is committed to Equality, Diversity and Inclusion and building a diverse community. We welcome applications from suitably qualified and eligible candidates regardless of their protected characteristics. We offer a range of employee benefits including generous annual leave and discounted Sports Village memberships, personal and professional development and family-friendly policies. #GoHerts
Apply online at https://www.jobs.herts.ac.uk/go/049655
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