Software Engineer – Mobile, Web & AI Integration - KTP Associate

Software Engineer – Mobile, Web & AI Integration - KTP Associate (fixed term for 28 months)

Department Department of Computer Science Location Birmingham, West Midlands Salary £38,000 to £42,000per annum Fixed Term Post Type Full Time Release Date 22 January 2026 Closing Date 23.59 hours GMT on Sunday 22 February 2026 Reference ABCE
26007

Birmingham City University are looking to appoint a high calibre graduate (graduated within the last five years) as a Software Engineer – Mobile, Web & AI Integration (KTP Associate).

This role presents an exciting opportunity to work in collaboration with leading academics at Birmingham City University, to apply knowledge and technical innovation, delivered on site at the company.

The Software Engineer – Mobile, Web & AI Integration (KTP Associate) should have a minimum 2.1 university qualification in a relevant subject area and have graduated within the last five years.

This Knowledge Transfer Project (KTP) is co-funded by a grant from Innovate UK and Nehemiah United Churches Housing Association Limited. It is therefore essential you understand the fundamentals of the KTP collaboration between a UK business and a University works to deliver benefits for each (the company, the university, and the graduate) For more information please go to

The Software Engineer – Mobile, Web & AI Integration (KTP Associate) will have access to a wider range of benefits including a personal development budget of £4,667 to upskill during the project.

The successful candidate will be employed by Birmingham City University and seconded to work full-time onsite at Nehemiah United Churches Housing Association Limited to deliver the 28-month KTP project in partnership Birmingham City University and Nehemiah United Churches Housing Association Limited.

Nehemiah is a long-established, well-run housing association which grew out of the social conscience of the area's Black churches -- the name Nehemiah meaning "God comforts". The Association owns and manages 1,230 homes across 6 local authorities. Its mission is to “build successful, sustainable and diverse communities by providing housing and well-being services in a culturally sensitive way to our current and future customers".

More information can be found here:

The successful candidate will have full access to Birmingham City University’s resources such as offices, labs, and library to complete the KTP project (a project workplan with KPIs and outcome deliverables has been written)

The Software Engineer – Mobile, Web & AI Integration (KTP Associate) will be supervised and mentored by both a lead academic and academic supervisor academics from BCU’s Department of Computer Science within the School of Architecture, Built Environment, Computing and Engineering (ABCE) as well as a company supervisor located at Nehemiah United Churches Housing Association Limited whose aim is to assist the Software Engineer – Mobile, Web & AI Integration (KTP Associate) to deliver the knowledge into Nehemiah United Churches Housing Association Limited and successfully deliver the 28-month KTP project on behalf of Nehemiah United Churches Housing Association Limited and Birmingham City University.

The Software Engineer – Mobile, Web & AI Integration KTP Associate will lead the technical design and development of the project:

• Defining functional requirements for the NEXUS system, a new front-end to the current Home Master system, supporting development of a client mobile app chat bot, AI driven dashboards for decision-making, IOT-enabled predictive property maintenance and contractor management.
• Designing, developing, testing and implementing the IT architecture, data model and database for the NEXUS system.
• Designing and developing a mobile interface to Home Master that includes a Natural Language Processing (NLP) based chatbot to provide multi-lingual intuitive access.
• Deploying sensors and developing an AI/ML algorithm to analyse sensor data for predictive property maintenance.
• Designing and developing ML powered automation and smart…