Digital Experience & AI Apprentice
Yorkshire Housing
Leeds (LS10 1FB)
Closes in 29 days (Sunday 12 April 2026)
Posted on 12 March 2026
Contents
Summary
You’ll be right at the heart of supporting the development of our digital services that support our communities, from new bots and self‑service tools to updates in our customer portal. You’ll help create content, support colleagues and customers to use our tech confidently, and use data and feedback to guide future improvements.
- Wage
-
£18,200 a year
Check minimum wage rates (opens in new tab)
Salary will progress in line with NMW in year 2.You can claim back for prescriptions,eye tests, make the most of retail discounts and take advantage of our pension scheme where we’ll match your contributions up to 9%, just to name a few.
- Training course
- Artificial intelligence (AI) and automation practitioner (level 4)
- Hours
-
Monday - Friday, Shifts to be confirmed.
35 hours a week
- Start date
-
Monday 7 September 2026
- Duration
-
1 year 6 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
You’ll be supported, mentored and encouraged as you grow your confidence and skills across our digital tools, platforms and ways of working.
Here’s some of what you’ll be getting involved in:
- Helping design and test new digital features like bots, self‑service tools and updates to our portal
- Creating and updating clear, helpful content for our knowledge platforms and digital channels
- Exploring AI and digital tech to spot opportunities for improvements or new ideas
- Looking at data and insight to understand how people use our digital services
- Helping teams across YH get to grips with new tools and explaining how they work
- Supporting colleagues to confidently talk about and promote our digital services to residents
- Creating simple guides, how‑to content and digital comms to help people get the most from our tools
- Taking part in user testing, accessibility checks and journey mapping
- Working with the Head of Customer Digital Enablement, Operations and Transformation teams on projects
- Providing general support to keep digital work moving smoothly - from organising feedback sessions to capturing actions
Where you'll work
Will Be a Mix of Working From Home
And at Our Headquarters
Leeds
LS10 1FB
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
QA 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 solutions for example Zapier, Make and Power Automate.
- 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 solutions for example Zapier, Make and Power Automate.
- 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
- At Yorkshire Housing, we own and manage nearly 20,000 homes across the region, and our mission is to make it possible for people to have a place they’re proud to call home
- Digital innovation helps us be more customer‑obsessed, more efficient and more pre-emptive - ultimately improving the customer journey and enabling us to deliver great homes and great services across everything we do
- In this apprenticeship role, you’ll be part of making that happen
More training information
You’ll be working towards a Level 4 Artificial Intelligence and Automation Practitioner qualification.
This will involve:
- Completing learning one day per week – either at college or accessing remote learning
- Working on real digital and AI projects to build your skills and portfolio
- Completing all assignments, assessments and apprenticeship requirements alongside your role
Requirements
Essential qualifications
GCSE in:
A Level in:
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- Organisation skills
- Initiative
- Interest in AI & digital tech
- Able to use digital platforms
- Ability to manage own time
- Work with numbers and data
- Professionalism
- Collaborative mindset
- Positive approach to learning
Other requirements
- Eligible to live and work in the UK and have lived here for the past 3 years
- Not already holding a qualification in a similar subject at the same or higher level
- Not in full‑time or part‑time education during the apprenticeship
About this employer
At Yorkshire Housing, we own and manage over 20,000 homes across the Yorkshire region. Providing our customers with a place they’re proud to call home is at the core of what we do. But our service doesn’t stop when the keys are in the door. As we continue to develop new homes and our customer base expands, it’s more important than ever that we look towards our future talent and ensure we have the best people in place to provide excellent support to our customers. As our Digital Experienece & AI Apprentice you’ll play a key role in making this happen.
After this apprenticeship
- Once you’re qualified, we’ll work with you to explore future opportunities with us - because we know good talent when we see it
Ask a question
The contact for this apprenticeship is:
QA LIMITED
recruitment@yorkshirehousing.co.uk
The reference code for this apprenticeship is VAC2000020282.
Apply now
Closes in 29 days (Sunday 12 April 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.