Level 4 AI & Automation Apprentice
LUMINOR 3 LIMITED
HUNGERFORD (RG17 0YL)
Closes in 31 days (Monday 16 November 2026 at 11:59pm)
Posted on 15 October 2026
Contents
Summary
Kick-start your career in AI, automation, sales and marketing with Luminor³. Gain hands-on experience using cutting-edge technology to generate leads, support marketing campaigns and improve business processes, while developing valuable commercial skills in a growing and innovative business.
- Wage
-
£18,000 a year
Minimum wage rates (opens in new tab)
£18,000 to £21,000 a year - Depending on experience
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
-
09:00-17:30 Monday to Friday.
40 hours a week
- Start date
-
Monday 23 November 2026
- Duration
-
1 year 4 months
- Positions available
-
2
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
Lead Generation & Prospecting
- Research target markets, industries and potential customers.
- Identify and qualify new business prospects.
- Build and maintain accurate prospect and lead lists.
- Use LinkedIn, CRM systems, websites and other data sources to identify potential opportunities.
- ·Support outbound email, LinkedIn and telephone-based prospecting.
- Research prospective customers to identify business challenges and potential technology requirements.
- Use AI tools to assist with prospect research, account profiling and lead qualification.
- Track lead generation activity and identify opportunities to improve conversion rates.
Sales Support
- Support the sales team with identifying and qualifying new opportunities.
- Help arrange discovery meetings and sales appointments.
- Maintain accurate CRM records and update prospect information.
· Assist with follow-ups, sales communications and pipeline management.
· Help identify opportunities to cross-sell or introduce customers to relevant Luminor³ services.
· Use data to monitor sales activity, pipeline progression and conversion.
· Develop an understanding of Luminor³’s AI, cloud, data, cybersecurity and managed service propositions.
Marketing
· Support the development of email marketing campaigns.
· Assist with LinkedIn and social media content.
· Research topics and trends across AI, automation, cybersecurity, cloud and data.
· Help create blogs, newsletters, sales collateral and campaign content.
· Support targeted marketing campaigns aimed at specific industries and customer profiles.
· Analyse campaign performance and identify opportunities for improvement.
· Use AI tools to support content creation while ensuring content is accurate, relevant and aligned with Luminor³’s brand.
AI & Automation
· Identify repetitive sales and marketing processes that could be automated.
· Map existing commercial processes and identify opportunities for improvement.
· Explore how AI tools can improve lead research, qualification and customer communications.
· Assist with creating automated workflows using appropriate low-code/no-code platforms.
· Explore the use of AI agents to support sales and marketing activities.
· Use automation to improve CRM data quality and reduce manual administration.
· Monitor automated processes and suggest improvements.
· Help measure the time, efficiency and commercial benefits created through automation.
· Follow appropriate governance, security and data protection requirements when using AI and customer data.
Data & Reporting
· Collect and analyse sales and marketing data.
· Produce reports on lead generation, campaign performance and pipeline activity.
· Identify trends and patterns within sales and marketing data.
Where you'll work
CYGNET HOUSE
CYGNET WAY
HUNGERFORD
RG17 0YL
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:
- 3 more other than English and Maths (grade A*-C/ 9-4)
- English (grade A*-C/ 9-4)
- Maths (grade A*-C/ 9-4)
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
- Customer care skills
- Problem solving skills
- Analytical skills
- Team working
- Initiative
- Time management
- Commercial awareness
- Independent working
- Willingness to learn
- Interest in technology
- Data protection awareness
- Target driven
- Curious mindset
- CRM systems
- Microsoft 365
- AI tools
- Data tools
- Customer-facing experience
About this employer
Luminor³ is a frontier technology company helping organisations operate in the age of AI. The business combines human expertise, intelligent agents, automation and trusted data to help customers improve performance, security, resilience and innovation. Its capabilities span AI & Automation, Data Intelligence, Cyber Resilience and AI-powered Infrastructure.
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
The role offers long-term security and the opportunity to progress into a permanent position.
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 VAC2000059380.
Apply now
Closes in 31 days (Monday 16 November 2026 at 11:59pm)