L4 AI & Automation Practitioner Apprenticeship
TNB Skills Training
FOLKESTONE (CT20 1DZ)
Closes in 25 days (Monday 31 August 2026 at 11:59pm)
Posted on 5 August 2026
Contents
Summary
An exciting opportunity to join TNB Skills Training and train as an AI & Automation Practitioner. You'll identify where AI and automation can help, and implement solutions responsibly working alongside colleagues across the business. No coding background needed, just problem-solving and a genuine interest in technology.
- Wage
-
£26,227.50 a year
- Training course
- Artificial intelligence (AI) and automation practitioner (level 4)
- Hours
-
Monday - Friday
9:00am to 5:30pm
37 hours 30 minutes a week
- Start date
-
Thursday 1 October 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
- Work with colleagues across the business to map how current processes and workflows actually operate, documenting the steps, systems and data involved
- Identify opportunities where AI or automation could reduce manual effort, remove duplication, improve accuracy or speed up turnaround times
- Assess whether an automation idea is viable, considering data quality, process maturity, cost and any risks or unintended consequences
- Build and configure automated workflows using low-code and no-code tools such as GoHighLevel
- Use AI tools to support tasks such as drafting content, summarising information, extracting data from documents and handling routine queries
- Test solutions before they go live, troubleshoot issues and refine them based on user feedback and performance data
- Monitor live automations, resolve faults, and report on the time, cost or accuracy benefits delivered
- Create clear documentation, process maps and user guides so solutions can be maintained and handed over
- Support colleagues to adopt new tools, including delivering informal training and answering questions from non-technical users
- Work with IT, external suppliers, and technical colleagues on integrations and anything that goes beyond low-code platforms
- Follow data protection, information security and organisational policies at all times, handling confidential information appropriately
- Consider the ethical and workforce impacts of any solution, raising concerns where automation could affect people's roles or create bias
- Contribute ideas at team meetings and present the outcomes of your projects to colleagues and managers
- Complete general administrative duties and off-the-job training activity in support of your apprenticeship
Where you'll work
10 GUILDHALL STREET
FOLKESTONE
CT20 1DZ
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
THAT NAIL PLACE 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
Requirements
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
- Presentation skills
- Analytical skills
- Logical
- Team working
- Initiative
- Patience
Other requirements
Pass a Disclosure and Barring Service (DBS) Check.
The ideal AI & Automation Practitioner is naturally curious, analytical and solutions focused. They enjoy simplifying complex problems, embrace emerging technologies and take pride in creating systems that make work easier for others. They combine strong technical capability with excellent communication skills, ensuring technology is practical, user-friendly and delivers measurable business outcomes. They are proactive, self-motivated and constantly looking for opportunities to improve how the organisation operates.
This role is designed to become the internal driver of digital transformation, ensuring our systems work together seamlessly, repetitive tasks are automated, and staff have more time to focus on learners and employers.
About this employer
TNB Skills Training is an established independent training provider based in Folkestone, delivering apprenticeships and funded skills programmes since 2004. We help learners gain nationally recognised qualifications and help employers develop their teams. We're now investing heavily in AI and automation, both as a new area of provision for our learners and as a way of transforming how we run our own operations. This is a genuine opportunity to be part of that from the beginning.
https://tnbskillstraining.co.uk/ (opens in new tab)
Company benefits
- Employee Assistance Programme
- 28 days annual leave entitlement
- Company events
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
On successful completion, the expectation is that the apprentice will move into a permanent role with TNB Skills Training as an AI & Automation Specialist/Digital Process Analyst, taking ownership of larger improvement projects across the business.
With experience, this can lead to roles such as Automation Lead, Business Process Analyst, Digital Transformation Officer or AI Implementation Lead.
There is also the option to progress onto a higher-level apprenticeship or professional qualification to continue developing.
Ask a question
The contact for this apprenticeship is:
TNB Skills Training
Lewis Anderson
lewis.anderson@tnbskillstraining.co.uk
01303 256305
The reference code for this apprenticeship is VAC2000046368.
Apply now
Closes in 25 days (Monday 31 August 2026 at 11:59pm)