
501 - 1000 employees
đŒ Consulting
đ„ Healthcare
đŁ Marketing
Consulting âą Healthcare âą Marketing
Corndel is an enterprise learning provider that partners with large organisations to deliver tailored AI, data and leadership training, degree apprenticeships and coaching. It combines industry partnerships (Imperial College London, Microsoft, CMI) with personalized coaching and accredited programmes to drive measurable workforce transformation, AI adoption and leadership development across businesses.
đ„ 1 hour ago
đŹđ§ United Kingdom â Remote
â° Full Time
đĄ Mid-level
đ Senior
đ„ Software Engineer
đ» Ghost score 10%
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501 - 1000 employees
đŒ Consulting
đ„ Healthcare
đŁ Marketing
Consulting âą Healthcare âą Marketing
Corndel is an enterprise learning provider that partners with large organisations to deliver tailored AI, data and leadership training, degree apprenticeships and coaching. It combines industry partnerships (Imperial College London, Microsoft, CMI) with personalized coaching and accredited programmes to drive measurable workforce transformation, AI adoption and leadership development across businesses.
âą Develop, refine, and maintain curriculum content across Data programmes, including e-learning materials, activities, assessments, and supporting resources âą Support development of new programmes, programme variants, and bespoke or client-specific learning solutions âą Review and quality assure existing curriculum content for accuracy, accessibility, consistency, relevance, and learner experience âą Collaborate with Product Managers, coaches, Curriculum Developers, and subject matter experts âą Translate complex Data and AI concepts into practical, accessible learning experiences âą Analyse learner, coach, and stakeholder feedback and implement iterative curriculum enhancements âą Monitor curriculum-related queries and issues, identify recurring themes, and inform improvements âą Use Jira or similar tools to log, track, prioritise, and resolve curriculum-related work and content issues âą Keep content current with developments in data, analytics, artificial intelligence, tools, technologies, and industry practice âą Support curriculum quality assurance processes and maintain high standards across learning materials and programmes âą Enhance learner engagement, progression, and outcomes through content, activity, and learning-design improvements âą Align learning content with apprenticeship standards, assessment requirements, and End-Point Assessment expectations
âą Strong knowledge of data analytics concepts and practices âą Good understanding of AI and its practical applications, including workplace AI tools âą Experience developing, reviewing, or improving learning content, training materials, e-learning, or technical educational resources âą Ability to translate complex technical concepts into clear, accessible, and engaging learning experiences âą Strong written communication skills and excellent attention to detail âą Confidence reviewing technical content for accuracy, clarity, consistency, and relevance âą Ability to collaborate with Product Managers, subject matter experts, coaches, and stakeholders âą Ability to manage competing priorities and work flexibly across programmes or projects âą Continuous-improvement mindset and ability to use feedback and evidence to implement improvements âą Ability to research unfamiliar or emerging technical topics and build sufficient subject knowledge âą Desirable: experience developing curriculum or learning content within Data, Analytics, Artificial Intelligence, Machine Learning, or a related technical field âą Desirable: experience in apprenticeships, further education, professional learning, or adult education âą Desirable: knowledge of apprenticeship standards, KSBs, assessment plans, or End-Point Assessment âą Desirable: hands-on experience with Excel, Power BI, SQL, Tableau, Python, Google Sheets, Looker Studio, or similar âą Desirable: familiarity with ChatGPT, Microsoft Copilot, Gemini, Claude, or other generative AI platforms âą Desirable: understanding of machine learning, generative AI, prompt engineering, AI ethics, responsible AI, or AI governance âą Desirable: experience using authoring or learning technologies to create digital learning content âą Desirable: experience working in an Agile, Product, or iterative development environment, including Jira âą Desirable: experience in quality assurance or peer reviewing technical learning materials âą Successful candidate subject to pre-employment checks, including DBS Disclosure
âą Pension âą Unlimited leave âą Flexible working âą Fully inclusive, welcoming, and safe culture âą Flexible and supportive environment with autonomy over the role âą Disability Confident Employer support and reasonable adjustments during recruitment âą Pre-employment checks including DBS Disclosure
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