The Employer
Our client was established in 2006 with a clear purpose: to build online retail businesses that genuinely serve their customers.
Over more than two decades, they have navigated the full arc of internet retail — from the early days of e-commerce through to today's complex, competitive digital landscape. Their continued growth is a reflection not of rapid expansion, but of consistency, investment, and a relentless focus on the customer experience.
They are a UK-based business, privately held, and operate with the long-term in mind. Each brand within their portfolio is led by genuine category knowledge, and supported by the infrastructure, technology, and commercial expertise that comes with operating at scale for over two decades.
Job Description:
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. Think how AI will be able to provide real commercial solutions towards the needs of a commercial business!
They build and operate specialist online retail brands that consumers trust. From product discovery through to purchase, our platforms are designed to inform, reassure, and convert.
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.
N.B This role is based in Peterborough with no opportunity of flexible working. Doe to their location access to your own mode of transport is highly recommended.
This is also an apprenticeship so please do not apply if you have significant commercial or academic experience in AI.
Key Responsibilities:
- Assist in developing, testing, and maintaining AI and machine learning models
- Support data collection, cleaning, labelling, 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
Job Types: Full-time, Apprenticeship
Pay: £16,000.00-£18,000.00 per year
Work Location: In person
