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 9:30am to 5:30pm

37 hours 30 minutes a week

Start date

Thursday 1 October 2026

Duration

1 year 6 months

Positions available

1

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

What you'll learn

• 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.