Apprentice Power Platform AI & Automation Engineer
AXON-IT.COM LTD
Recruiting nationally
Closes in 28 days (Saturday 5 December 2026 at 11:59pm)
Posted on 6 November 2026
Contents
Summary
Kick-start your career in AI and automation with Axon IT. Join our Level 4 Power Platform apprenticeship and gain hands-on experience designing and building real business automations using Microsoft Power Automate, Power Apps and Copilot. Receive expert mentoring, industry training and the opportunity to make a real impact from day one.
- Wage
-
£16,640 for your first year, then could increase depending on your age
National Minimum Wage rate for apprentices
Minimum wage rates (opens in new tab)
The pay may be negotiated and may rise after a probation period has been successfully completed.
- Training course
- Artificial intelligence (AI) and automation practitioner (level 4)
- Hours
-
Monday to Friday.
40 hours a week
- Start date
-
Monday 14 December 2026
- Duration
-
1 year 1 month
- 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 and stakeholders to understand existing processes, user needs, pain points and desired outcomes.
- Map current processes and identify repetitive, manual or error-prone activities that may be suitable for automation.
- Design, build and maintain cloud flows, approval workflows, notifications, scheduled automations and data-driven processes using Microsoft Power Automate.
- Use appropriate Microsoft 365 and Power Platform connectors, expressions, conditions, variables and multi-step logic to deliver reliable solutions.
- Gain experience integrating solutions with SharePoint, Teams, Outlook, Forms, Dataverse, Power Apps and other approved business systems.
- Support the use of APIs, structured data and low-code integrations where standard connectors do not fully meet requirements.
- Explore practical uses of Microsoft Copilot and other approved AI tools, including prompt design, information structuring and intelligent workflow assistance.
- Test automations using suitable test data, document results, resolve defects and support controlled deployment into live use.
- Monitor flow performance, investigate failures, maintain connections and escalate security, data or service risks appropriately.
- Follow Power Platform governance, environment, solution, access-control, data protection, change-management and documentation standards.
- Measure and communicate the impact of automation through time saved, reduced errors, improved experience or other agreed benefits.
- Complete all required apprenticeship training, off-the-job learning, portfolio submissions, progress reviews and end-point assessment preparation within agreed timescales.
Where you'll work
It's remote working, travelling to Macclesfield twice a month.
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
VELOCITY 1ST 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
Velocity apprenticeship training programmes are delivered virtually by our fully qualified and industry experienced training team.
Using their expert knowledge, they will provide the skills necessary to succeed in the workplace and to expand future career prospects.
Throughout the apprenticeship, learners receive coaching, help and guidance from a dedicated team who are there to ensure they get the most from their programme.
Requirements
Essential qualifications
GCSE in:
- English (grade A*-C/ 9-4)
- Maths (grade A*-C/ 9-4)
Desirable qualifications
GCSE 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
- Analytical skills
- Logical
- Team working
- Initiative
- Time management
- Learning motivation
- Dependable
- Working under pressure
- Independent working
- Planning skills
- AI awareness
- Data security awareness
- Process improvement mindset
- Adaptability
Other requirements
None.
About this employer
Microsoft has recognised us as one of its partner advisors and we often share our views on product development during round-tables with them. With 20+ years under our belt, we usually know what we’re talking about! Based in South of Manchester, our team works remotely – connected, of course, by the latest tech! As a mix of commercially-minded techies, we help advise on the best approach to suit your individual business needs.
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
Upon successful completion of the apprenticeship, there may be the potential to progress into a permanent role within the business, with further career development available.
Ask a question
The contact for this apprenticeship is:
VELOCITY 1ST LIMITED
Ivana
ivana@velocity-academy.co.uk
The reference code for this apprenticeship is VAC2000062966.
Apply now
Closes in 28 days (Saturday 5 December 2026 at 11:59pm)