Digital Innovator – AI Apprentice
Creative Process Digital
BRIGHTON (BN1 6AF)
Closes on Thursday 1 October 2026
Posted on 5 August 2026
Contents
Summary
Creative Process is looking for forward-thinking Digital Innovators who don't just want to watch the future happen—they want to build it.
If you are an entrepreneur in life who loves taking initiative, experimenting with new ideas, and finding exciting new ways to use AI, this is your launchpad.
- Wage
-
£12,480 for your first year, then could increase depending on your age
National Minimum Wage rate for apprentices
Minimum wage rates (opens in new tab)
Salary: Apprentice Rate + Commission Opportunities
- Training course
- Artificial intelligence (AI) and automation practitioner (level 4)
- Hours
-
2 days of training a week and 1 day a week of doing the job across 12 months.
30 hours a week
- Start date
-
Tuesday 20 October 2026
- Duration
-
1 year
- Positions available
-
10
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
The Opportunity: Fast Track AI Programme
This isn't a typical apprenticeship. This is a one-year, high-octane immersion into the future of work.
Through our Fast Track AI Programme, you will spend 12 months packed full of cutting-edge AI, creative, and technical skills.
You will learn from industry experts, master the latest digital tools, and immediately put your knowledge into practice on real-world projects.
What’s In It For You?
- Future-Proof Your Career: Acquire the most in-demand skills on the planet, fast-tracking your professional growth.
- Earn Extra: Once you have mastered the skills and tools, you will unlock additional opportunities to earn commission by putting your knowledge into practice.
- Stand Out From the Crowd: Graduate from this 12-month programme as a top-tier applicant, uniquely qualified for high-paying roles that traditional candidates can't touch.
What You Will Do:
- Experiment & Innovate: Discover and test new ways to integrate AI into creative and business workflows.
- Learn & Master: Deep dive into generative AI, digital creation, and tech-driven problem-solving through our structured AI academy.
- Apply & Earn: Use your new digital toolkit to support live business objectives at Creative Process - creating opportunities to boost your earnings via commission.
- Collaborate: Work alongside a team of fellow tech enthusiasts and industry professionals.
Who You Are:
- An Entrepreneurial Thinker: You have an "entrepreneur in life" mindset—driven, proactive, and always looking for opportunities.
- A Creative Innovator: You love finding unique solutions to problems and look at the world differently.
- An Eager Learner: You absorb new information quickly and are excited to master complex digital tools.
- A Self-Starter: You are motivated by results and excited by the chance to earn commission based on your practical skills.
Where you'll work
TELECOM HOUSE
125-135 PRESTON ROAD
BRIGHTON
BN1 6AF
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
CREATIVE PROCESS DIGITAL LTD
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
Essential 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
- Attention to detail
- Organisation skills
- Problem solving skills
- Administrative skills
- Analytical skills
- Logical
- Team working
- Creative
About this employer
Creative Process is the leading provider for digital skills and digital apprenticeships across Brighton and Sussex.
We provide companies with the skills they need to thrive in the digital age.
We do this via our grant funded digital apprenticeship programme that we launched with Government at Apple’s UK HQ, establishing successful digital apprenticeship programmes with hundreds of employers from ITN, MTV, Warner Bros, BT Sport and hundreds more SMEs across Sussex.
We have 4000 sq ft of high spec imac suite training space in central Brighton with bright and sunny offices and some of the best views in town.
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
This apprenticeship provides a clear pathway into a career in AI and digital innovation.
Ask a question
The contact for this apprenticeship is:
CREATIVE PROCESS DIGITAL LTD
Megan
megan@creativeprocessdigital.com
01273 232273
The reference code for this apprenticeship is VAC2000046456.
Apply now
Closes on Thursday 1 October 2026