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

Nominate & Attend

Computer Science Teacher

Hackney Central
1 month ago
Applications closed

Related Jobs

View all jobs

Computer Vision Engineer

Data Science & Machine Learning – Elite Talent Wanted

Computer Vision Engineer

Data Science Graduate

Data Science Manager

Data Science Manager

Computer Science Specialist Required: Outstanding Secondary School, Hackney (KS3-5)

An exciting opportunity has arisen for a highly skilled and inspiring Teacher of Computer Science to join our consistently Outstanding secondary school in Hackney from September 2025. We are looking for a true specialist who can drive excellence and cultivate a deep understanding of Computer Science.

We are looking for a specialist who can deliver exceptional teaching and learning across all key stages, from introducing foundational programming concepts and digital literacy at KS3 to guiding students through the complexities of GCSE Computer Science and advanced A-Level Computer Science topics such as algorithms, data structures, and object-oriented programming. Our students are bright, inquisitive, and eager to excel, and our department boasts excellent resources, including dedicated labs with cutting-edge software, and a proven track record of strong academic results. You will play a crucial role in shaping the academic future of our students.

If you are passionate about fostering a deep understanding of computer science principles, from programming and algorithms to cybersecurity, artificial intelligence, and network fundamentals, and are committed to academic excellence, we strongly encourage your application.

Key responsibilities include:

  • Planning and delivering outstanding Computer Science lessons that are meticulously prepared, differentiated, and inspiring, ensuring high levels of student engagement and progress across KS3, KS4, and KS5.

  • Accurately assessing student progress, providing timely and constructive feedback that informs future learning, and implementing effective intervention strategies where needed.

  • Actively contributing to curriculum development, designing innovative learning experiences, and leading extra-curricular activities such as coding clubs, robotics teams, or computing competitions.

  • Upholding the high standards of our Outstanding school in all aspects of teaching and professional conduct, acting as a role model for students and colleagues.

    Elevate your career in Computer Science education – apply for this Hackney-based role now
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.

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.