Artificial Intelligence Solutions Apprentice Peterborough

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