AI and Automation Apprenticeship
DIGITAL NATIVE UK LTD
Nottingham (NG2 3AQ)
Closes in 30 days (Friday 1 May 2026)
Posted on 1 April 2026
Contents
Summary
We are looking for a motivated AI and Automation Apprentice to join our team. This is a fantastic opportunity to gain hands-on experience, exposure to developing AI solutions, deploying AI to optimise existing processes and develop excellent interpersonal skills while working towards a recognised qualification.
- Wage
-
£22,000 a year
- Training course
- Artificial intelligence (AI) and automation practitioner (level 4)
- Hours
-
Monday- Friday 9.00am- 5.00pm with 30 minutes for lunch.
37 hours 30 minutes a week
- Start date
-
Monday 1 June 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
Key Responsibilities:
- Creating AI agents to help our coaches better support their apprentices
- Develop new curriculum materials to support digital learning
Support the automation of onboarding for new apprentices - Working with directors to review processes and identify inefficiencies
- Test and troubleshoot internal systems to ensure smooth operation
- Maintain and update our WordPress websites
- Supporting our apprentices with their Microsoft 365 issues
What We’re Looking For:
- A keen interest in technology
- Proven problem-solving approaches
- The ability to reliably follow a process
- Outstanding attention to detail. For example, reading to the end of everything!
- The ability to retain information
- Ability to work well in a team and communicate clearly
- Any WordPress/Code or AI experience is a bonus
- At least 5 GCSEs (including English and maths), good A levels, and possibly a numerate degree. This is a complex role that will be mentally demanding.
What You’ll Gain:
- Practical experience in redesigning processes to use AI
- Training and mentoring from experienced professionals
- A recognised qualification upon completion of your apprenticeship
Location:
Our directors are based in the East Midlands
You will typically work remotely, but will be expected to travel to meet directors or attend apprenticeship training days. You should expect to travel 1-2 days/week.
Where you'll work
Carrington Street
Nottingham
NG2 3AQ
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
DIGITAL NATIVE (UK) 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
This training schedule has not been finalised. Check with this employer if you’ll need to travel to a college or training location for this apprenticeship.
More training information
You will undertake the Level 4 AI and Automation Apprenticeship Standard and be encouraged to gain relevant Microsoft and British Computer Society qualifications
You will work alongside our directors and developers and build your skills through a combination of:
- Online learning
- 1-2-1 Coaching
- Group activities
- Work-based tasks
Requirements
Essential qualifications
GCSE in:
5 GCSEs (or equivalent) inc Maths and English (grade A*- C / 9-4 (or equivalent))
A Level in:
Computer Science and STEM subjects (grade A - C)
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
- Number skills
- Analytical skills
- Logical
- Team working
- Initiative
- Non judgemental
- Patience
About this employer
Digital Native UK Ltd is passionate about helping people thrive in the digital world. We design innovative learning experiences and cutting-edge tools to support apprentices and employers.
After this apprenticeship
- Ongoing employment and career progression
Ask a question
The contact for this apprenticeship is:
DIGITAL NATIVE (UK) LIMITED
The reference code for this apprenticeship is VAC2000024797.
Apply now
Closes in 30 days (Friday 1 May 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.