Artificial Intelligence (AI) Knowledge Curator
| Posting date: | 06 January 2026 |
|---|---|
| Salary: | Not specified |
| Additional salary information: | Competitive |
| Hours: | Full time |
| Closing date: | 05 February 2026 |
| Location: | Manchester, M1 6EU |
| Company: | inploi |
| Job type: | Permanent |
| Job reference: | 75775978 |
Summary
The Greater Manchester (GM) AI, Data and Innovation Office (ADIO)
1 Year FTC
GM has two of the top-five AI ready cities in the UK[1]. We have an opportunity to improve public services and grow the tech economy in Greater Manchester by investing in the way we use AI. To support this ambition, GM has established the ADIO, which acts as a guiding and connecting, assisting and empowering, and catalysing function for the Greater Manchester Combined Authority, GM local authorities and our wider public sector partners.
Guide and Connect: ADIO will enable collaboration and an effective and responsible use of both machine learning and generative AI across Greater Manchester.
Assist and Empower: Adio will assist and empower local authorities in baselining and improving their use of AI and data by working closely with senior leadership and their teams, offering guidance, training and resources to support them to effectively implement AI technologies.
Catalyse: ADIO will facilitate AI and data driven innovation to boost economic development across Greater Manchester. It will connect with existing successful programmes by facilitating partnerships, upskilling, and creating opportunities for innovation and commercialisation.
The role AI Knowledge Curator
To support us in achieving the ADIO ambitions, we are seeking a proactive and strategic AI Knowledge Curator to lead the identification, curation, and dissemination of critical Artificial Intelligence (AI) information, insights, and best practices across Greater Manchester. This role is essential for fostering a region-wide understanding of responsible and effective AI adoption, supporting businesses, public services, and citizens in navigating the AI landscape.
The successful candidate will act as a central knowledge hub, ensuring that the most relevant, ethical, and practical AI knowledge is accessible, understandable, and actionable for diverse stakeholders across Greater Manchester.
Please note that this role is not responsible for the technical process of cleaning and labelling data for AI models.
About us:
As an employer, the Greater Manchester Combined Authority (GMCA) is made up of a number of key Greater Manchester strategic functions and service providers including; Greater Manchester Fire and Rescue Service (GMFRS); Waste and Resources; Environment; Work and Skills; Research; Public Sector Reform; Police, Crime and Criminal Justice; Homelessness; the Greater Manchester Ageing Hub and the Commissioning Hub.
We value the diversity of our employees and volunteers, and aim to recruit a workforce which reflects our diverse communities across Greater Manchester. We encourage applications from all suitably qualified individuals, irrespective of people's age, disability, Trans status and Non-binary identity, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex and sexual orientation. We have guidance in place to ensure that all applicants are treated fairly and consistently at every stage of the recruitment process, including the consideration of reasonable adjustments for people who have a disability.
Mandatory Information:
Artificial Intelligence (AI)
We embrace AI to enhance our operations and to innovate our services. However, we value human talent and are looking for passionate individuals to join our organisation. Please ensure you personally complete your application and read all the instructions carefully to maximise your chances of success.
Applications that rely too heavily on AI may be rejected during shortlisting, however we understand that AI may be used as a reasonable adjustment, if using AI to support your application, please give a brief explanation why to help ensure fair selection process.
Supporting Documents
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