Artificial Intelligence (AI) Knowledge Curator

inploi
Manchester
22 hours ago
Create job alert
Artificial Intelligence (AI) Knowledge Curator

Employer:


Location:


Manchester, M1 6EU


Pay:


Competitive


Contract Type:


Permanent


Hours:


Full time


Disability Confident:


No


Closing Date:


05/02/2026


About this job

The Greater Manchester (GM) AI, Data and Innovation Office (ADIO) 1 Year FTC will help improve public services and grow the tech economy by investing in the way we use AI. ADIO acts as a guiding and connecting, assisting and empowering, and catalysing function for the Greater Manchester Combined Authority, GM local authorities and wider public sector partners.


ADIO will enable collaboration and an effective and responsible use of both machine learning and generative AI across Greater Manchester, assist local authorities in baseline‑setting and improvement of their AI use, and facilitate AI‑driven innovation to boost economic development.


In this role, the AI Knowledge Curator will lead the identification, curation, and dissemination of critical AI information, insights, and best practices across Greater Manchester. The candidate will be a central knowledge hub, ensuring that the most relevant, ethical, and practical AI knowledge is accessible, understandable, and actionable for diverse stakeholders.


Note: this role does not involve the technical process of cleaning and labeling data for AI models.


About us

As an employer, the Greater Manchester Combined Authority (GMCA) provides a range of strategic functions and service providers including GM Fire and Rescue Service, 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 diversity and aim to reflect the communities across Greater Manchester in our workforce.


Equal Opportunities

We encourage applications from all suitably qualified individuals, irrespective of age, disability, trans status, non‑binary identity, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex and sexual orientation.


We provide reasonable adjustments for people with disabilities and have guidance to ensure fair recruitment.


Additional Information

Artificial Intelligence (AI) is embraced to enhance our operations and to innovate our services. However, we value human talent and seek passionate individuals to join our organisation.


Applications that rely heavily on AI may be rejected during shortlisting; however, if AI is used as a reasonable adjustment, please explain why to aid a fair selection process.


#J-18808-Ljbffr

Related Jobs

View all jobs

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.