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Artificial Intelligence Solutions Apprentice
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Artificial Intelligence Apprentice
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 developing both technical and professional skills.
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
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- 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
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