AI Solutions Apprentice
5VALUES CONSULTING GROUP LTD
Bristol (BS2 0JA)
Closes in 26 days (Sunday 17 May 2026 at 11:59pm)
Posted on 20 April 2026
Contents
Summary
We are looking for a curious, driven individual with a background in Computer Science or Computing to join us as our Applied AI Apprentice. This is a rare opportunity to work directly with the leadership team on real-world AI projects that shape how we operate and deliver value to our clients.
- Wage
-
£18,000 a year
- Training course
- Artificial intelligence (AI) and automation practitioner (level 4)
- Hours
-
Monday - Friday, 8.30am to 5pm - 1 hour for lunch
37 hours 30 minutes a week
- Start date
-
Monday 25 May 2026
- Duration
-
1 year 6 months
- 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
- Designing, building, and deploying AI-powered tools and automations to improve recruitment workflows across the group
- Experimenting with large language models (LLMs), APIs, and emerging AI platforms to solve real business challenges
- Developing internal dashboards, data pipelines, and reporting tools to support commercial decision-making
- Researching and evaluating new AI technologies, tools, and vendors relevant to talent acquisition and professional services
- Collaborating with consultants, managers, and clients to understand pain points and translate them into technical solutions
- Supporting data quality, CRM optimisation, and systems integration projects across the business
- Contributing to the company’s broader technology strategy and AI roadmap
What We’re Looking For:
- A qualification (or near-completion) in Computer Science, Computing, Software Engineering, Data Science, or a closely related discipline
- A genuine interest in artificial intelligence, machine learning, and how these technologies are transforming industries
- Familiarity with at least one programming language (Python preferred) and a willingness to learn quickly
- Strong analytical thinking and problem-solving ability
- Excellent communication skills - the ability to explain technical concepts to non-technical stakeholders
- A self-starter mentality: proactive, resourceful, and comfortable working with ambiguity
- An interest in the commercial application of technology, not just the theory
What We Offer:
- Direct exposure to the CEO and senior leadership team - you will have visibility and influence that is impossible at larger organisations
- A funded apprenticeship with structured learning and professional development
- The chance to work across multiple brands and markets, gaining breadth of experience
- A genuine say in how AI is adopted and implemented across a growing international business
- A collaborative, high-energy office culture in central Bristol
- The opportunity to shape a role that could grow into a permanent position based on performance and impact
Benefits:
- 3-months fully paid sabbatical after 5-years’ service
- 29+ days holidays (increases to 32 with tenure) + all bank holidays
- +2 days per year incentive paid days off if no sick leave is taken within a 6-month period
- Hussle + membership: offering free, flexible, discounted, and unlimited access to thousands of leading UK gyms, pools and spas.
- Annual Profit Share bonus
- £25 salon treatments every 6-weeks
Where you'll work
One Castle Park
Tower Hill
Bristol
BS2 0JA
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
JUST IT TRAINING 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
An apprenticeship includes regular training with a college or other training organisation.
At least 20% of your working hours will be spent training or studying
Artificial intelligence (AI) and Automation Practitioner standard Level 4.
You will also receive full training and support from the Leep Talent Apprenticeship team to increase your skills.
Your training will include gaining a Level 4 Artificial intelligence (AI) and Automation Practitioner qualification.
Learners can gain these optional exams at the end of the programme:
- AWS Certified AI Practitioner
- Microsoft AI-900 Azure AI Fundamentals
- Microsoft PL-900 Fundamentals
- Awarding Body: Accelerate People
Requirements
Essential qualifications
GCSE in:
- English (grade Grade C/4 +)
- Maths (grade Grade C/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
- Presentation skills
- Administrative skills
- Number skills
- Analytical skills
- Logical
- Team working
- Creative
- Initiative
- Non judgemental
- Patience
About this employer
5Values Consulting Group is a multi-brand recruitment and talent business operating across technology, media, and professional services. Our brands — 5V Tech, 5V Video, 5V Media, and 5V Velocity — serve clients globally from offices in the UK, US, Germany, and the Netherlands. We are a fast-growing, founder-led company that values innovation, accountability, and commercial impact.
https://www.weare5values.com/ (opens in new tab)
Company benefits
- 29 days holidays Plus all bank holidays
- If don't call in sick during 6-month period, you can get an extra day off twice
- Gym membership
After this apprenticeship
Potential full-time position for the right candidate after completion of the apprenticeship.
Ask a question
The contact for this apprenticeship is:
JUST IT TRAINING LIMITED
The reference code for this apprenticeship is VAC2000027163.
Apply now
Closes in 26 days (Sunday 17 May 2026 at 11:59pm)