Computer Science Teacher - Reputable Academy - Hounslow

Perham Education Partnership
Feltham
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Research Engineer

Computer Vision and Artificial Intelligence Engineer

Data Science & Machine Learning - Senior Associate - Asset Management

Data Science Quant Python - Fintech

Data Science Lead

Data Science Lead

Write a short description of your company, a boilerplate of the business, service or product that you offer. Include your business idea and the target audience. This text is primarily supposed to be descriptive, not selling.

Full-time, Permanent - April 2025 Start

Are you a passionate and innovativeTeacher of Computer Sciencewith a desire to inspire young minds and equip them with the skills and knowledge they need to thrive in the digital age? We are seeking a dedicated and enthusiastic individual to join our cutting-edge Computer Science department in a thriving academy in Hounslow.

About the School:

Our academy is a dynamic learning community where students are encouraged to embrace technology, develop their computational thinking skills, and become confident and responsible digital citizens. We provide a stimulating and supportive environment where students can explore the world of computing, learn to code, develop websites and apps, and explore the ethical and social implications of technology.

About the Computer Science Department:

The Computer Science department is a collaborative and passionate team with a shared commitment to providing students with a high-quality education in this rapidly evolving field. We offer a cutting-edge curriculum that covers a wide range of topics, from programming and algorithms to cybersecurity and artificial intelligence. We encourage students to develop their practical skills through hands-on projects and challenges, and we provide access to the latest technology and software.

About the Role:

  • Teach Computer Science across Key Stages 3 and 4, with the possibility of teaching A Level Computer Science depending on experience and interest.
  • Plan and deliver engaging and differentiated lessons that cater to a variety of learning styles and abilities.
  • Use a range of teaching methods and resources, including coding challenges, robotics, game design, and online learning platforms, to bring Computer Science to life for students.
  • Assess student progress, set targets, and provide constructive feedback to support individual learning journeys.
  • Contribute to the department's curriculum development and resource creation, ensuring that our Computer Science curriculum remains relevant and challenging.
  • Foster a love of Computer Science in students, encouraging them to explore the digital world, participate in coding clubs and competitions, and consider further studies or careers in computer science and related fields.
  • Work collaboratively with colleagues in the department and across the school to create a cohesive, supportive, and stimulating learning environment where students thrive.
  • Participate in professional development opportunities to enhance your teaching practice, keep abreast of the latest developments in Computer Science education, and contribute to the ongoing improvement of the Computer Science department.

Ideal Candidate:

  • Holds QTS or equivalent.
  • Possesses excellent subject knowledge in Computer Science, with a strong understanding of programming languages, algorithms, data structures, and software development principles.
  • Demonstrates a passion for teaching Computer Science and a commitment to student success.
  • Has strong communication, interpersonal, and classroom management skills.
  • Is confident in fostering a positive and inclusive learning environment where all students feel valued and supported to achieve their best.
  • Has experience with a variety of programming languages and computer science tools and technologies.
  • Is committed to ongoing professional development and reflective practice.

Benefits:

  • Competitive salary (MPS/UPS + Outer London Weighting)
  • Comprehensive benefits package, including pension scheme and access to employee assistance programs.
  • Excellent professional development opportunities, including opportunities for subject-specific training in Computer Science.
  • A supportive and collaborative working environment where your contributions are valued.
  • Opportunities to contribute to the wider school community through extracurricular activities, coding clubs, and school events.

To Apply:

Please send your CV

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.