Artificial Intelligence Solutions Apprentice Peterborough

INVOLVE SELECTION LIMITED

Peterborough (PE6 9NF)

Closes in 21 days (Friday 13 March 2026 at 11:59pm)

Posted on 19 February 2026

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Summary

Our client is looking for a curious and motivated Artificial Intelligence Apprentice to join their team and learn how AI is designed, built, and applied in real-world commercial environments. This role is ideal for someone at the start of their tech career who wants hands-on experience while developing both technical and professional skills. 

• Wage:

  £18,000 a year

  Check minimum wage rates (opens in new tab)

  First-year wage is offered between £16,000 and £18,000 pending interview.

• Training course: Artificial intelligence (AI) and automation practitioner (level 4)
• Hours: Monday- Friday, between 8.30am- 5.00pm. 37.5 hours a week.

  37 hours 30 minutes a week

• Start date:

  Monday 16 March 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

Key Responsibilities:

• Assist in developing, testing, and maintaining AI and machine learning models
• Support data collection, cleaning, labeling, and basic analysis
• Help implement AI solutions using Python and common ML libraries
• Participate in model evaluation, performance monitoring, and documentation
• Collaborate with cross-functional teams on AI-driven projects
• Learn and apply best practices in data privacy, ethics, and responsible AI
• Continuously build skills through training, mentoring, and self-study

What You’ll Learn:

• Identify opportunities for automation to drive operational improvement and cost savings. Advocate for responsible implementation, balancing the pursuit of efficiency with fairness, transparency, and a commitment to supporting workforce wellbeing
• Provide input into the implementation of AI and automation solutions that extend beyond low-or no-code platforms
• Collaborate when needed with technical teams such as architects and leads to enable the successful delivery of automation opportunities
• Evaluate available AI, automation tools and platforms
• Facilitate and support with the design and delivery of workshops and solution design sessions
• Simplify processes and design workflows that exploit AI and automation
• Configure and adapt low-or no-code tools to solve problems and drive efficiencies
• Apply AI automation solutions to add value. For example, chatbots, summarisation, and automation platforms such as cloud SaaS and PaaS services
• Develop, document and test integrated digital workflows. Produce documents to meet audience requirements such as technical and end-user materials
• Keep colleagues, stakeholders and line managers informed on progress
• Provide training and or user guides for adopted tools, adapting content and format to audience needs
• Support teams with change management and adoption activities. 
• Monitor and refine automations incorporating feedback from end- users to improve
• Measure and report on productivity, efficiency and value improvement savings
• Ensure personal compliance and support stakeholders with digital ethics, security, and privacy including governance, auditing, explainability, and documentation of decision-making
• Keep up to date with AI automation trends, opportunities, and risks to inform current and future practice

Required Skills & Qualifications

• Strong interest in artificial intelligence, data science, or software development
• Basic understanding of programming (Python preferred)
• Familiarity with concepts such as data analysis, statistics, or algorithms (academic or self-taught is fine)
• Willingness to learn, ask questions, and take feedback
• Good communication and teamwork skills

Where you'll work

24B King Street Industrial Estate
Langtoft
Peterborough
PE6 9NF

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

Training provider

INVOLVE SELECTION 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

• Level 4 Artificial intelligence (AI) and automation practitioner
• Level 2 Functional Skills in maths and English (if required)

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
• IT skills
• Attention to detail
• Problem solving skills
• Analytical skills
• Logical
• Team working

About this employer

Our client was established in 2006 with a mission to offer parents the very best in baby and child safety products.

After this apprenticeship

Upon successful completion of the apprenticeship, the right candidate could progress to be offered a full-time position.

Ask a question

The contact for this apprenticeship is:

INVOLVE SELECTION LIMITED

The reference code for this apprenticeship is VAC2000016595.

Apply now

Closes in 21 days (Friday 13 March 2026 at 11:59pm)