Marketing and AI Apprenticeship
QUALIA AESTHETICS LIMITED
HUDDERSFIELD (HD1 1RL)
Closes in 19 days (Monday 15 June 2026 at 11:59pm)
Posted on 27 May 2026
Contents
Summary
We are looking for a Digital Marketing Apprentice and AI to join our team based in Huddersfield. There will be skills taught and required for working on Shopify, using a range of ai tools and creating content for campaigns.
- Wage
-
£12,896 to £20,488.52, depending on your age
National Minimum Wage
- Training course
- Artificial intelligence (AI) and automation practitioner (level 4)
- Hours
-
Monday to Friday, hours to be agreed during contracting. A combination of office and home working. Delivery of training on alternative weeks, one day per week. CPD and off-the-job, alternative weeks for one day.
31 hours a week
- Start date
-
Thursday 25 June 2026
- Duration
-
1 year 3 months
- Positions available
-
1
Work
Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.
What you'll do at work
Your role as a Digital Marketing and AI Apprentice will be to run our social media platforms, create content and manage our sites, including:
- Creating plans for campaigns and projects
- Using WordPress, Shopify and a wide range of plugins for web management
- Creating Products and SEO'ing them on Shopify
- Creating AI workflows and automating to achieve efficiencies
- Creating and implementing AI policies, procedures and processes
- Creating content calendars and scheduling posts
- Monitoring and evaluating the outcome of campaigns (creating reports for clients)
- Email marketing and creating contact lists
- Customer service communications on a wide range of platforms
- Eventually assisting in training activities
- Networking with stakeholders (inclusive of the local council, schools, colleges and other 3rd party bodies)
- Customer service and sales
- Engaging in networking activities
- Working on improving SEO presence with the use of a range of tools
- Monitoring of website user activity and implementing techniques to improve the user experience
- Keeping up to date with your skills, ensuring currency
These are requirements that will progress over time. Naturally, we do not expect our applicants to have these skills initially; we shall be working with them to train them up to this. Therefore, the aspiration to work towards the skills is the primary need.
Working on systems that manage the stock at a large e-commerce store and a physical store.
Managing the social media for the range of businesses that fall under the umbrella of the organisation's business.
We are heavily focused on nurturing new talent and encouraging individuals to work towards their goals.
Where you'll work
THE MEDIA CENTRE
7 NORTHUMBERLAND STREET
HUDDERSFIELD
HD1 1RL
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
QUALIA AESTHETICS LIMITED
Training course
Artificial intelligence (AI) and automation practitioner (level 4)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Review, establish, follow and or amend policies and procedures on data and information security.
- Follow ethical, responsible and safe working practices respecting confidentiality and sensitive organisational matters.
- Undertake analysis to identify if automation is viable. Including assessing risks such as data quality, process maturity and unintended consequences of AI automation projects, such as the impact on job roles.
- Engage with non-technical staff to understand their roles, responsibilities, and concerns when automation solutions are proposed and implemented. Adapt approach to support workforce needs when implementing solutions that impacts the workforce.
- Support with the introduction, adaption, and implementation of change. Contribute to constructive dialogue between leaders and employees about the adoption of AI and automation solutions.
- Review and complete workflow and process mapping to identify problems or inefficiencies and recommend solutions including pilots, incremental changes and scaling opportunities.
- Use automation design tools to suit the organisational context to configure, adapt and implement AI or automation solutions, such as conversational agents, text processing AI, workflow automation platforms and cloud based SaaS or PaaS.
- Create and refine prompts for AI tools, using iterative testing to achieve accurate and useful outputs.
- Apply analytical and computational techniques using tools and datasets to design, evaluate, and optimise automation solutions.
- Integrate AI and automation technologies to collect, process, and manage data effectively, enabling intelligent and efficient system operation.
- Design, integrate, and test digital workflows and AI automation tools using APIs, connectors, or low-or no-code integration methods.
- Iterate solutions based on testing and feedback to ensure reliability, security, accessibility, and alignment with organisational needs.
- Identify opportunities to deliver automation. Support leaders in integrating ethical, empathetic approaches when decision-making.
- Support in the identification and evaluation of opportunities for increased productivity. For example, use of low-or no-code tools, streamlining processes and use of AI platforms.
- Make evidence based suggestions to support governance, outcomes and facilitate improvement for example cost benefit analysis.
- Report on productivity and efficiency savings and the opportunities for automation and where applicable when automation does not improve experience or processes.
- Contribute to sustainable and efficient AI and automation solutions.
- Support with the delivery of training to technical and non-technical user groups or audiences adapting content and format responding to feedback and organisational context.
- Contribute to the creation and or adaption of resources such as user guides, training materials, process documents to meet user requirements.
- Work collaboratively to deploy AI and automation strategies. Support where required to deal with the impact of automation for example retraining, redeployment, or upskilling of affected staff.
- Undertake data analysis, preparation, and conversion to support automation solutions.
- Present and communicate information including the translation of technical concepts into accessible materials to support clear dialogue with stakeholders.
- Work with others to achieve agreed outcomes or outputs. Provide evidence-based analysis and insight to leaders on the likely human impacts of automation projects.
- Use project management principles, techniques and tools to support the development of clear, balanced communications and briefings, articulating both opportunities and risks.
- Keep up to date with existing, evolving, emerging technologies and sector trends in AI, automation and technology including methods to evaluate vendor and supplier solutions.
- Apply ethical and human-centred design principles when scoping, developing, and deploying automation and AI solutions, underpinned by robust governance.
- Apply technical understanding to help align business needs with technical capabilities, supporting the development of solutions that are scalable, efficient, and aligned with the organisation’s strategic objectives.
- Undertake assurance activities to evidence responsible AI and automation, including maintaining clear documentation of design and decision-making, contributing to risk assessments, and applying assurance frameworks to support compliance with organisational, regulatory, and ethical standards.
- Apply algorithmic impact assessment and workforce equality monitoring techniques when scoping, implementing, and reviewing AI and automation projects. Gather and analyse relevant workforce data, identify potential equality risks, and contribute evidence-based recommendations to support fair and inclusive adoption.
- Review, establish, follow and or amend policies and procedures on data and information security.
- Follow ethical, responsible and safe working practices respecting confidentiality and sensitive organisational matters.
- Undertake analysis to identify if automation is viable. Including assessing risks such as data quality, process maturity and unintended consequences of AI automation projects, such as the impact on job roles.
- Engage with non-technical staff to understand their roles, responsibilities, and concerns when automation solutions are proposed and implemented. Adapt approach to support workforce needs when implementing solutions that impacts the workforce.
- Support with the introduction, adaption, and implementation of change. Contribute to constructive dialogue between leaders and employees about the adoption of AI and automation solutions.
- Review and complete workflow and process mapping to identify problems or inefficiencies and recommend solutions including pilots, incremental changes and scaling opportunities.
- Use automation design tools to suit the organisational context to configure, adapt and implement AI or automation solutions, such as conversational agents, text processing AI, workflow automation platforms and cloud based SaaS or PaaS.
- Create and refine prompts for AI tools, using iterative testing to achieve accurate and useful outputs.
- Apply analytical and computational techniques using tools and datasets to design, evaluate, and optimise automation solutions.
- Integrate AI and automation technologies to collect, process, and manage data effectively, enabling intelligent and efficient system operation.
- Design, integrate, and test digital workflows and AI automation tools using APIs, connectors, or low-or no-code integration methods.
- Iterate solutions based on testing and feedback to ensure reliability, security, accessibility, and alignment with organisational needs.
- Identify opportunities to deliver automation. Support leaders in integrating ethical, empathetic approaches when decision-making.
- Support in the identification and evaluation of opportunities for increased productivity. For example, use of low-or no-code tools, streamlining processes and use of AI platforms.
- Make evidence based suggestions to support governance, outcomes and facilitate improvement for example cost benefit analysis.
- Report on productivity and efficiency savings and the opportunities for automation and where applicable when automation does not improve experience or processes.
- Contribute to sustainable and efficient AI and automation solutions.
- Support with the delivery of training to technical and non-technical user groups or audiences adapting content and format responding to feedback and organisational context.
- Contribute to the creation and or adaption of resources such as user guides, training materials, process documents to meet user requirements.
- Work collaboratively to deploy AI and automation strategies. Support where required to deal with the impact of automation for example retraining, redeployment, or upskilling of affected staff.
- Undertake data analysis, preparation, and conversion to support automation solutions.
- Present and communicate information including the translation of technical concepts into accessible materials to support clear dialogue with stakeholders.
- Work with others to achieve agreed outcomes or outputs. Provide evidence-based analysis and insight to leaders on the likely human impacts of automation projects.
- Use project management principles, techniques and tools to support the development of clear, balanced communications and briefings, articulating both opportunities and risks.
- Keep up to date with existing, evolving, emerging technologies and sector trends in AI, automation and technology including methods to evaluate vendor and supplier solutions.
- Apply ethical and human-centred design principles when scoping, developing, and deploying automation and AI solutions, underpinned by robust governance.
- Apply technical understanding to help align business needs with technical capabilities, supporting the development of solutions that are scalable, efficient, and aligned with the organisation’s strategic objectives.
- Undertake assurance activities to evidence responsible AI and automation, including maintaining clear documentation of design and decision-making, contributing to risk assessments, and applying assurance frameworks to support compliance with organisational, regulatory, and ethical standards.
- Apply algorithmic impact assessment and workforce equality monitoring techniques when scoping, implementing, and reviewing AI and automation projects. Gather and analyse relevant workforce data, identify potential equality risks, and contribute evidence-based recommendations to support fair and inclusive adoption.
Training schedule
Multi-channel Marketer Level 3.
- Delivery will take place on alternate weeks, one day per week. With CPD and additional training taking place the alternative weeks for the one day, through pre-set work.
- The apprentice will be expected to participate in a 3/4 hour review every 10 weeks as a minimum.
- Where a level 4-9 in maths or English is not present, functional skills at Level 2 are available. This would be an opportunity for an additional functional skills qualification to be achieved.
More training information
Training around AI and use of extensive AI tools.
Requirements
Desirable qualifications
GCSE in:
- English (grade 4 or above)
- Math (grade 4 or above)
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- IT skills
- Attention to detail
- Organisation skills
- Customer care skills
- Problem solving skills
- Presentation skills
- Administrative skills
- Number skills
- Analytical skills
- Logical
- Team working
- Creative
- Initiative
- Non judgemental
- Patience
Other requirements
Passing a DBS check due to being a training academy working with young and vulnerable people.
About this employer
Qualia Academy - We deliver marketing and management training.
After this apprenticeship
Working up to management levels and Level 4 in AI.
Ask a question
The contact for this apprenticeship is:
QUALIA AESTHETICS LIMITED
Kirsty Watson
kirsty.watson@qualia-academy.co.uk
07854581587
The reference code for this apprenticeship is VAC2000033445.
Apply now
Closes in 19 days (Monday 15 June 2026 at 11:59pm)