Digital and AI (Artificial Intelligence) Automation Apprentice
FIRST CHOICE HOMES OLDHAM LIMITED
Greater Manchester (OL1 1BE)
Closes on Wednesday 8 July 2026
Posted on 1 June 2026
Contents
Summary
Start your career in AI and automation with First Choice Homes Oldham. You’ll learn how to design digital solutions, automate manual processes and support real projects while working towards a Level 4 Artificial Intelligence and Automation Practitioner qualification.
- Wage
-
£15,392 to £24,454.04, depending on your age
National Minimum Wage
- Training course
- Artificial intelligence (AI) and automation practitioner (level 4)
- Hours
-
Monday to Friday, 9.00am to 5.00pm.
37 hours a week
- Start date
-
Saturday 15 August 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
- Support the development of AI and automation solutions that improve services and reduce manual work
- Help identify opportunities to automate repetitive tasks and streamline business processes
- Assist with the design, testing and implementation of AI-powered tools and digital solutions
- Work with Microsoft Power Platform, Copilot and other automation technologies
- Analyse customer and colleague feedback to identify opportunities for digital improvement
- Support digital transformation projects across the organisation.
- Create guides, training materials and resources to help colleagues use new technologies
- Assist with usability testing, accessibility reviews and system improvements
- Work with data and business intelligence teams to identify reporting and data processes suitable for automation
- Complete your Level 4 Artificial Intelligence and Automation Practitioner apprenticeship qualification while applying your learning to real projects
Where you'll work
22 Union Street
Oldham
Greater Manchester
OL1 1BE
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
APPROVED TRAINING 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
Training will be delivered through a combination of workplace learning and off-the-job training with our apprenticeship provider. The apprentice will work towards a Level 4 Artificial Intelligence and Automation Practitioner qualification.
Training will take place both on-site at First Choice Homes Oldham and through online learning sessions. The apprentice will receive dedicated study time and attend regular training, coaching and assessment sessions throughout the programme.
More training information
Training will be delivered by an approved apprenticeship provider through a blend of workplace learning, online training sessions, coaching and regular progress reviews. The programme will include dedicated off-the-job training time, workplace projects and assessments, with ongoing support from both the training provider and First Choice Homes Oldham throughout the apprenticeship.
Requirements
Essential qualifications
GCSE in:
- English (grade grade 4 / c or above)
- Maths (grade Grade)
- x5 GCSES (grade grade 4/ C or above)
A Level in:
BTEC 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
- IT skills
- Attention to detail
- Organisation skills
- Problem solving skills
- Administrative skills
- Analytical skills
- Logical
- Team working
- Initiative
- Patience
About this employer
First Choice Homes Oldham is a leading housing association managing over 11,500 homes across Oldham. We are committed to improving lives by providing great homes, supporting local communities and delivering excellent services. As an apprentice, you'll have the opportunity to develop valuable skills while working on projects that make a real difference to our customers and colleagues.
https://www.fcho.co.uk/ (opens in new tab)
Company benefits
30 days annual leave plus bank holidays, option to buy more leave, up to 10% employer pension contribution, private healthcare, healthcare cash plan, 24/7 GP access, wellbeing support, gym discounts, retail discounts and enhanced family leave.
Disability Confident
A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.
You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.
After this apprenticeship
On successful completion of the apprenticeship, there may be opportunities to progress into permanent roles within our Digital and Technology team. Potential career paths could include AI and Automation Analyst, Business Intelligence Analyst, Digital Improvement Officer, Data Analyst or other technology-focused roles, depending on organisational needs and your interests and performance.
Ask a question
The contact for this apprenticeship is:
FIRST CHOICE HOMES OLDHAM LIMITED
Emily McEvoy
emily.mcevoy@fcho.co.uk
The reference code for this apprenticeship is VAC2000031629.
Apply now
Closes on Wednesday 8 July 2026