Open Roles at Mediacrest Training College

About the role

• The Mobile App Development Trainer will deliver practical, project-based training that takes learners from mobile development fundamentals to building and publishing complete applications. The trainer will guide student projects, assess progress, and keep course content aligned with current industry practice.

Key responsibilities

• Deliver engaging lessons, labs, code reviews, and project-based assessments
• Teach mobile UI, state management, APIs, data storage, testing, and deployment
• Mentor learners as they build portfolio-ready mobile applications
• Review and improve curriculum content in line with industry developments

Requirements

• Degree or diploma in Computer Science, Software Engineering, or a related field
• Demonstrable experience building mobile applications with Flutter, React Native, Android, or iOS technologies
• Strong understanding of APIs, Git, testing, mobile UI/UX, and app deployment
• Training, mentoring, or public speaking experience is an advantage
• A portfolio of completed mobile applications or software projects

go to method of application »

About the role

• The Cybersecurity Trainer will facilitate practical learning across core security concepts, tools, and professional practices. The trainer will create safe lab experiences, mentor learners through security projects, and connect technical lessons to realistic organizational risks and controls.

Key responsibilities

• Teach networking security, threat analysis, ethical hacking, incident response, and governance
• Design and supervise practical labs, simulations, and learner assessments
• Guide students on ethical, legal, and professional cybersecurity practice
• Keep training materials current with emerging threats, tools, and standards

Requirements

• Degree or diploma in Cybersecurity, Information Technology, Computer Science, or a related field
• Hands-on experience with security tools, Linux, networking, vulnerability assessment, and incident response
• Relevant certifications such as Security+, CEH, CCNA Security, or CISSP are an advantage
• Experience facilitating technical training or mentoring learners
• Strong communication, documentation, and classroom management skills

go to method of application »

About the role

• The Data Science Trainer will deliver accessible, practical instruction in data analysis and machine learning. The trainer will help learners develop strong analytical foundations, work with real datasets, communicate findings clearly, and produce portfolio projects that demonstrate workplace-ready skills.

Key responsibilities

• Teach Python, SQL, statistics, data cleaning, visualization, and machine learning fundamentals
• Lead practical labs and end-to-end projects using real-world datasets
• Assess learner work and provide clear technical and career-focused feedback
• Maintain relevant course materials, exercises, and assessment rubrics

Requirements

• Degree in Data Science, Statistics, Computer Science, Mathematics, or a related field
• Practical experience with Python, SQL, pandas, data visualization, and machine learning libraries
• Ability to explain statistical and technical concepts clearly to learners
• Training, mentoring, or facilitation experience is an advantage
• A portfolio of data analysis, visualization, or machine learning projects

go to method of application »

About the role

• The AI & ML Automation Trainer will deliver hands-on training in artificial intelligence, machine learning, and intelligent workflow automation. The trainer will help learners design practical solutions, connect AI services to business processes, and build reliable automation projects using modern tools and responsible AI practices.

Key responsibilities

• Teach AI fundamentals, machine learning workflows, prompt engineering, and intelligent automation
• Guide learners in integrating APIs, no-code or low-code automation tools, and AI services
• Lead practical labs and portfolio projects based on real business processes
• Update course materials to reflect current AI tools, methods, and responsible-use standards

Requirements

• Degree or diploma in Computer Science, Data Science, Artificial Intelligence, or a related field
• Practical experience with Python, machine learning libraries, APIs, and workflow automation tools
• Understanding of data preparation, model evaluation, generative AI, and responsible AI practices
• Experience training, mentoring, or presenting technical concepts is an advantage
• A portfolio demonstrating AI, machine learning, or automation projects

go to method of application »

About the role

• The AI Engineering Trainer will teach learners how to move from AI concepts and prototypes to dependable applications. The role covers model and API integration, retrieval-based systems, evaluation, deployment, monitoring, and the software engineering practices required to build secure and scalable AI products.

Key responsibilities

• Deliver practical instruction in AI application development, model integration, evaluation, and deployment
• Teach learners to build retrieval-augmented, agentic, and API-driven AI solutions
• Mentor end-to-end projects covering testing, security, monitoring, and responsible AI
• Maintain technical labs and curriculum content in line with industry developments

Requirements

• Degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field
• Strong programming experience in Python and familiarity with modern AI frameworks and APIs
• Experience with databases, cloud deployment, version control, testing, and application architecture
• Ability to explain complex AI engineering concepts through practical examples
• A portfolio of deployed AI applications, integrations, or engineering projects