Job Category: Administration and Operations
Fixed Term: 18 months
Location: Buro Happold Limited, The Featherstone Building, 66 City Road, London, EC1Y 2AL
Birmingham City University are looking to appoint a high calibre graduate (graduated within the last five years) as a Machine Learning R&D Engineer (KTP Associate).
As a Machine Learning R&D Engineer Associate, you will develop Machine Learning (ML) solutions that will innovate and transform key engineering activities in Buro Happold. You will work closely with Buro Happold’s computational team to build reusable AI/ML datasets, develop and optimise ML models, facilitate their deployment within the company, and co-define data-driven solutions that have the potential to revolutionise the Architecture, Engineering and Construction (AEC) industry.
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 Machine Learning R&D Engineer (KTP Associate) should have a minimum 2.1 University qualification in a relevant subject area and graduated within the last five years.
This Knowledge Transfer Project (KTP) is co-funded by a grant from Innovate UK and Buro Happold 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 www.ktp.org.uk
Personal Training & Development Budget:
The Machine Learning R&D Engineer (KTP Associate) will have access to a wider range of benefits including a personal development budget of £3,000 to upskill during the project.
The successful candidate will be employed by Birmingham City University and seconded to work full-time onsite at Buro Happold Limited to deliver the 18-month KTP project in partnership Birmingham City University and Buro Happold Limited.
Buro Happold Limited:
Buro Happold Limited is an international, integrated consultancy of engineers, designers and advisers (about 3000 employees worldwide) that designs and delivers a wide range of construction projects (recent award-winning projects include Battersea Power Station in London and the K64 Keflavik Airport Area Masterplan). Buro Happold covers several domains of expertise, including structural engineering, façade design, MEP engineering, and many others. Buro Happold has a long history of developing and applying innovative computational solutions, like the open-source framework Buildings and Habitats object Model (BHoM) and is now investing into AI/ML innovation to increase their design efficiency and transform key workflows, ultimately sustaining BH’s position as one of the key leaders in the AEC sector. For more information, please go to www.burohappold.com.
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 written with KPIs and outcome deliverables has been written)
The Machine Learning and R&D Engineer (KTP Associate) will be supervised and mentored by both a lead academic and academic supervisor academics from Birmingham City University’s College of Computing and Digital Technology within the Faculty of Computing, Engineering and Built Environment (CEBE) as well as a company supervisor located at Buro Happold Limited whose aim is to assist the Machine Learning and R&D Engineer (KTP Associate) to deliver the knowledge into Buro Happold Limited and successfully deliver the 18-month KTP project on behalf of Buro Happold and Birmingham City University.
Main Duties and Responsibilities:
The Machine Learning and R&D Engineer (KTP Associate) duties and responsibilities will include the following:
Competencies, Skills and Experience:
The Machine Learning and R&D Engineer (KTP Associate) will hold a relevant degree. The candidate should have a good first degree and post-graduate degree in Computer Science or Data Science, or a related discipline, excellent programming skills, good communication skills and experience of successfully working as part of a team.
We expect the post holder to have the following requirements:
Essential:
Highly Desirable:
Desirable:
Personal Skills:
For further information please contact Khalid Ismail at khalid.ismail@bcu.ac.uk and Edlira Vakaj at edlira.vakaj@bcu.ac.uk.
Interviews to take place W/C Monday 21st July 2025.
Please click the below link to download the Job Description:
About Us
At the heart of our Strategy for 2030 and Beyond, it is our mission to enable our students to transform their lives and to achieve their potential. Through our education and research, and the roles our graduates go on to play in the world, we not only support individuals to transform their lives, but we also play a part in transforming society.
Located in the centre of the UK’s second city, we are a university with a long heritage of innovation and of making, dating back to our origins in 1843 when we were founded as the Birmingham Government School of Design.
Our heritage of making through innovation and its application through knowledge exchange, and of creative research and practice, today finds it expression in our STEAM agenda, in our research and enterprise, and in our commitment to challenge-based learning. Working across disciplines, and delivering impactful research and enterprise, interdisciplinarity is at the heart of the continuing transformation of our academic portfolio.
Apply Before: 29/06/2025, 23:59
Location: | London |
---|---|
Salary: | £45,000 to £55,000 per annum |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 5th June 2025 |
Closes: | 29th June 2025 |
Job Ref: | 588 |