Computer Science Teacher

Havering Park
9 months ago
Applications closed

Related Jobs

View all jobs

Computer Science Teacher

Sales Engineer

Data Engineer

Data Scientist Placement

Principal Embedded Software Engineer

Computer Science Specialist Required: Outstanding Secondary School, Havering (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 Havering from September 2025. We are looking for a true specialist who can drive excellence and cultivate a deep understanding of Computer Science across all levels.

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, object-oriented programming, and ethical computing. Our students are bright, inquisitive, and eager to excel, and our department boasts excellent resources, including dedicated computing labs with high-spec machines and industry-standard software, and a proven track record of strong academic results. You will play a crucial role in shaping the academic future of our students and fostering their passion for technology.

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, highly engaging, differentiated to meet diverse needs, and inspire high levels of student engagement and progress across KS3, KS4, and KS5.

  • Accurately assessing student progress, providing timely, personalised, and constructive feedback that informs future learning, and implementing effective intervention strategies where needed to ensure all students reach their full potential.

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

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

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

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 Robotics Tools Do You Need to Know to Get a Robotics Job?

If you’re pursuing a career in robotics, it can feel like the list of tools you should learn never ends. One job advert asks for ROS, another mentions Gazebo, another wants experience with Python, Linux, C++, RobotStudio, MATLAB/Simulink, perception stacks, control frameworks, real-time OS, vision libraries — and that’s just scratching the surface. With so many frameworks, languages and platforms, it’s no wonder robotics job seekers feel overwhelmed. But here’s the honest truth most recruiters won’t say explicitly: 👉 They don’t hire you because you know every tool — they hire you because you can apply the right tools to solve real robotics problems reliably and explain your reasoning clearly. Tools matter — but only in service of outcomes. So the real question isn’t how many tools you should know, but which tools you should master and why. For most robotics roles, the answer is significantly fewer — and far more focused — than you might assume. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable, confident, and ready to contribute from day one.

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

Robotics is one of the most dynamic, interdisciplinary fields in technology — blending mechanical systems, embedded software, controls, perception (AI/vision), modelling, simulation and systems integration. Hiring managers in this space are highly selective because robotics teams need people who can solve real-world problems under constraints, work across disciplines, and deliver safe, reliable systems. And here’s the reality: hiring managers do not read every word of your CV. Like in many tech domains, they scan quickly — often forming a judgement in the first 10–20 seconds. In robotics, those first signals are especially important because the work is complex and there’s a wide range of candidate backgrounds. This guide unpacks exactly what hiring managers look for first in robotics applications and how to optimise your CV, portfolio and cover letter so you stand out in the UK market.

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

Robotics is no longer confined to science fiction or isolated research labs. Today, robots perform critical tasks across manufacturing, healthcare, logistics, agriculture, defence, hospitality and even education. In the UK, businesses are embracing automation to improve productivity, reduce costs and tackle labour shortages. Yet despite strong interest and a growing number of university programmes in robotics, many employers report a persistent problem: graduates are not job-ready for real-world robotics roles. This is not a question of intelligence or dedication. It is a widening skills gap between what universities teach and what employers actually need in robotics jobs. In this article, we’ll explore that gap in depth — what universities do well, where their programmes often fall short, why the disconnect exists, what employers really want, and how you can bridge the divide to build a thriving career in robotics.