Post Title: Software Engineer in AI/ML for Large Language Models (KTP Associate) (with optional funded PhD studentship for the term of employment)
SBU/Department: School of Physics, Engineering and Computer Science (SPECS)
FTE: 1.0fte (Working 40 hours per week)
Duration of Contract: Fixed term for 33 months
Salary: £35,000 pa with potential to progress to £38,000 pa by annual increments
Annual Leave: 23 days plus standard public holidays and an additional 4 days including the closure of our office between Christmas and New Year
Location: Coracle Online The Windmill 10, Chesterton Mill, French's Rd, Arbury, Cambridge CB4 3NP (main location), and College Lane, Hatfield (occasional)
About the programme: This position forms part of the Knowledge Transfer Partnership programme (KTP) funded by Innovate UK (IUK). A KTP is a 3-way collaboration between a graduate (or post-graduate), a business (including not for profit organisations) and a university / research institution. KTPs are designed to deliver an innovation project and bring about lasting, transformative change. As a KTP Associate, you will lead the project with the full support of the company and academic supervisors, while receiving expert coaching and mentoring with one of IUK’s highly experienced Advisers.
The University of Hertfordshire wish to recruit a motivated, highly skilled and qualified graduate to lead and deliver a project with Coracle Online Ltd to revolutionise educational provision through developing an AI-powered educational experience, accessed online / offline, that engages users through ‘in-the-moment’ assessment, allowing content to be tailored as the user progresses, reflecting their learning preference using direct and inferred inputs. The KTP will develop pioneering educational solutions for learners who are considered 'disadvantaged' through environment and circumstance where opportunities to engage are few. The KTP includes access to management skills training delivered by Ashorne Hill, in addition to a £4,000 training budget.
The School of Physics, Engineering & Computer Science (SPECS) is supportive of the successful candidate enrolling for a funded PhD studentship for the term of employment.
Main duties and responsibilities
The Associate will support the research team by undertaking research and development to develop a new product or service, attending and leading project meetings as required. You will handle data collection and analysis and contribute on the design and organisation of the project as well as work with academic team members on peer reviewed papers and presentations. You will be expected to disseminate the results and outputs of the project and ensure the collating and writing of final project are of a high standard. You will take an active part in the academic life of the School through participation in seminars and other similar events.
Skills and experience required
You will be methodical, have good attention to detail and problem-solving abilities, as well as the ability to plan and manage your own activities effectively and meet deadlines under pressure. You will possess a strong work ethic, be self-motivated and able to work effectively both independently and as part of a team. It is essential that you are able to handle sensitive data with strict confidence. You will have demonstrable experience of working as part of a research team in a Higher Education Institution or in industry (e.g. final year project/industrial placement), as well as technical experience of AI and Machine Learning, and proficiency in computational programming languages, such as Python, C++ and Java. It would also be desirable that the candidate demonstrate knowledge of business functions and project management through employment or study, and data engineering and integration, especially with API. Knowledge and experience on LLM and NLP is desirable and you will also be expected to carry out testing to validate the proposed solutions.
Knowledge of appropriate databases for the discipline, and the ability to conduct literature searches in the discipline, using appropriate electronic resources is essential for this role. You will have an interest in applying technology in different forms and demonstrable initiative and ability to learn new skills as required, supported by the ability to develop innovative and efficient solutions to defined problems.
This role requires you to be flexible and adaptable to workload and team requirements. You will have excellent interpersonal, spoken, written, and presentation skills in English and will demonstrate empathy, with the ability to build rapport with a range of stakeholders.
Qualifications required
Educated with a minimum of an undergraduate degree in Computer Science or closely related subject.
Please view the job description and person specification for a full list of the duties and essential criteria. Please attach a personal statement showing clearly how your skills and experience match the Person Specification.
We regret that we are unable to offer UKVI sponsorship for this post; applicants will either hold UK Right to Work or demonstrate access to UK Right to Work before an offer is made.
Contact Details/Informal Enquiries: Kieran Hogan, Accounts and Operations Officer, k.hogan3@herts.ac.uk
Closing Date: 23 March 2025
Interview Date: To be confirmed
Reference Number: 063495
Date advert placed: 28 February 2025
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