3 of 3 Remote Apprenticeship Artificial Intelligence Jobs

Work closely with stakeholders across IT, L&D and business functions to align digital ways of working with broader organisational goals Stay up to date with Microsoft 365 updates, AI tools like Copilot, and emerging technologies that can support continuous improvement Promote the responsible and effective use of AI tools to enhance collaboration, automate routine tasks, and improve content creation … Identify and share practical use cases for generative AI across different teams to support smarter working and innovation Support colleagues in understanding when and how to use AI tools effectively, with consideration for data privacy and digital professionalism Training Why choose AI & Digital Support? This programme brings together AI, Microsoft Copilot and broader digital skills to provide support and advice … to users across a wide range of business software and Generative AI applications, enhancing digital transformation and increasing AI literacy across your organisation. Accelerate AI adoption Streamline productivity Champion innovation The AI & Digital Support programme integrates live and online workshops with self-paced learning, employing a guided discovery approach for individual learner contexts. Learners are assigned a Digital Learning Consultant More ❯

UK) LTD Working at Sage means you’re supporting millions of small and medium sized businesses globally with technology to work faster and smarter. We leverage the future of AI, meaning business owners spend less time doing routine tasks, like entering invoices and generating reports, and more time pursuing their ambitions. More ❯

As an AI Software Engineer Apprentice, you’ll deliver real-world AI and ML solutions working with data pipelines, models, APIs, and microservices while advancing toward a fully funded Level 6 degree. This role is rooted in the Digital and Technology Solutions standard, blending a common core with the Software Engineer specialism. Role Location: Hybrid (UK-based) Hours: Monday – Friday … performance. Perform error analysis, feature importance, and other model diagnostics. Track and log training/testing outcomes to support reproducibility and model versioning. Engineering Contributions Help build and integrate AI-powered APIs, scripts, and microservices. Collaborate on backend services and model deployment in dev/test environments. Use Git, CI/CD tools, and containerization (e.g., Docker) to maintain codebase … quality. Applied AI Domains Work on projects that involve Natural Language Processing (NLP), Computer Vision, Generative AI, or Recommendation Systems. Support annotation, feature engineering, and augmentation tasks where necessary. Documentation & Collaboration Write clear, well-organized documentation for code, models, datasets, and project workflows. Participate in team meetings, sprint planning, and code reviews. Engage with mentors to reflect on progress, set More ❯