National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Cyber Security Trainer

5 E Limited
London Borough of Haringey
8 months ago
Applications closed

Related Jobs

View all jobs

Trainee Coding and Programmer - No Experience Required

Trainee Coding and Programmer - No Experience Required

Data Scientist - AI / ML, Python, Scripting, Cyber Security

Data Scientist (Battery Storage)

Data Scientist (Battery Storage)

Machine Learning Engineer

Job Summary:

We are seeking a dynamic and knowledgeable Technical Trainer to join our team. The ideal candidate will have hands-on experience with a variety of applications and platforms, excellent communication skills, and a passion for educating others. This role involves delivering comprehensive training programs on CISCO networking, Microsoft Azure, cybersecurity, and AI tools to diverse learner cohorts.

Key Responsibilities:

- Learner Assessment: Conduct initial assessments to understand learners' current skills and map out personalized learning plans.

- Training Delivery: Execute training sessions both in-person and online, utilizing structured resources provided by the Head of Department.

- Content Development: Collaborate with the Head of Department to create, review, and update training materials, including handouts, manuals, videos, labs, and simulations tailored to varying skill levels from beginner to advanced.

- Adaptability in Training: Modify training methods to accommodate different learning styles and environments, ensuring effective comprehension and engagement.

- Cohort Management: Organize and manage multiple training cohorts simultaneously, ensuring a smooth learning experience for all participants.

- Learner Support: Provide ongoing coaching and support, addressing queries and troubleshooting issues as they arise.

- Stay Updated: Keep abreast of the latest trends in technology, especially in AI and cybersecurity, to enrich training content and discussions.

Required Skills:

- Technical Proficiency: Proficient in applications such as Teams, Zoom, Webex, VirtualBox, VMware Workstation, Hyper-V, Office/MS 365, and virtual learning platforms like Moodle (or similar).

- Communication Skills: Ability to articulate complex concepts clearly and effectively to diverse audiences.

- Adaptability: Skilled at adjusting training methods to meet various learning styles and environments.

- Project Management: Strong organizational skills to manage multiple cohorts and projects effectively.

- Teaching Expertise: Proven ability to train on CISCO technologies (CCNA, Cyber Security, Networking, and Infrastructure) and Microsoft (Azure Fundamentals & Administration, MS 365, and Security).

- Cybersecurity Knowledge: Solid understanding of cybersecurity principles and practices.

- AI Understanding: Familiarity with artificial intelligence concepts, including tools like ChatGPT and Microsoft CoPilot, is an advantage.

- Experience: Demonstrated experience in delivering engaging training sessions both onsite and online.

Qualifications:

- Bachelor’s degree in Information Technology, Education, or a related field is desirable.

- Relevant certifications in CISCO, Microsoft, or other pertinent technologies are preferred.

- Previous experience in a training or educational role at community level is essential in community and SME participants

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.