Summary We are looking for a motivated, curious, and forward-thinking individual to join our AI & Automation team as an Apprentice. This role is ideal for someone early in their career who is passionate about technology, eager to learn, and excited by the opportunities AI and automation bring to modern organisations. Wage £15,600 a year Check minimum wage rates (opens in new tab) Training course Artificial intelligence (AI) and automation practitioner (level 4) Hours Days and shifts to be confirmed. 37 hours 30 minutes a week Start date Monday 6 April 2026 Duration 1 year 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 Automation & process improvement: Support the design, build, and maintenance of automation workflows Work with departments to identify opportunities to streamline processes. Help reduce repetitive manual work through practical, scalable automation solutions. Assist in the rollout, monitoring, and continuous improvement of automation initiatives. Document workflows, process maps, and automation logic as required AI exploration & application: Assist in the development and testing of AI-powered tools for productivity and decision-making Explore real-world AI use cases and help identify improvements or new applications Support responsible and ethical use of AI across business operations Experiment with emerging technologies and share findings with the wider team Collaboration & support: Work collaboratively with cross-functional teams to understand business needs. Provide support during system enhancements, integrations, and digital transformation projects Communicate progress, findings, and issues clearly and professionally Contribute ideas that support innovation and operational efficiency ISO responsibilities: Follow established procedures for data handling, security, and documentation. Support evidence gathering for audits and compliance reviews. Ensure all automation and AI initiatives align with security, risk, and quality-management standards. Report any potential risks, non‑conformities, or system issues in line with ISO processes Where you'll work 2-6 BARNSLEY ROAD GOLDTHORPE ROTHERHAM S63 9NF 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 The AI & Automation Specialist programme integrates live and online workshops with self-paced learning, employing a guided discovery approach for individual learner contexts Learners are assigned a Digital Learning Consultant (DLC) for personalised coaching and support. These specialists ensure their successful progress, wellbeing, and readiness for assessments 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 Attention to detail Organisation skills Problem solving skills Analytical skills Team working Other requirements Entry requirements: Level 3 Qualification (Apprenticeship/A Levels/BTEC etc.) OR equivalent work experience (typically 2 years in a relevant role) AND 5 x GCSE’s including English & Maths at Grade 4 (C) or above. You may also have a combination of qualifications and experience which demonstrate the minimum foundation needed for the programme. In this instance you could still be considered for the programme. If you hold international equivalents of the above qualifications, at the time of your application you must be able to provide an official document that states how your international qualifications compare to the UK qualifications. For more information please visit the UK ENIC website. About this employer At IT Desk we believe that world-class technology and support should be accessible to all businesses. As IT consultants, we serve over 100 customers, of varying sizes and requirements, across many different sectors. Technology plays a critical role for every one of these clients: it has the power to support their growth and unlock efficiencies and profitability. We see our role as enabling those improvements, delivering IT solutions that transform our client’s business. Company benefits A range of exciting benefits are available! After this apprenticeship 90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average Ask a question The contact for this apprenticeship is: QA LIMITED The reference code for this apprenticeship is VAC2000018544.