Computing Teacher

Kensington
7 months ago
Applications closed

Related Jobs

View all jobs

Head of Computing – Independent School

Tutor of Digital (2 posts available)

Research Software Scientist / Engineer

Trainee AI Engineer Placement Programme

Trainee AI Programmer Placemement Programme

Senior Machine Learning Scientist

Computing Teacher: Progressive School - Kensington's Digital Futures Guide

Our progressive school in Kensington is actively seeking an innovative and passionate Computing Teacher to join our forward-thinking Computing department. This is a unique opportunity for a Computing Teacher to inspire students to become the digital architects of tomorrow, teaching core Computing principles, programming languages, and computational thinking from Year 7 through to A-Level Computing. We are looking for a Computing Teacher who can make complex technical concepts accessible and exciting, fostering creativity and problem-solving skills in every student. Your vision as a Computing Teacher will be crucial in developing our cutting-edge Computing curriculum.

Location: Kensington Role: Computing Teacher (Full-Time, Permanent) Salary: Highly competitive, reflecting Inner London pay scales.

What We Are Looking for in a Computing Teacher:

The ideal Computing Teacher candidate will hold QTS and a strong academic background in Computing Science or a related field. We require a Computing Teacher with proven experience in teaching Computing to secondary students, including thorough preparation for GCSE and A-Level Computing examinations. An engaging and dynamic teaching style, coupled with a deep understanding of current and emerging technologies, is essential for this Computing Teacher role. We are seeking a collaborative Computing Teacher who is eager to contribute to curriculum development, share best practice with colleagues, and participate in extracurricular Computing activities such as coding clubs or robotics. Every Computing Teacher will find a supportive environment here.

What We Offer for Our Computing Teacher:

As a Computing Teacher at our progressive school, you will benefit from working within a modern and well-resourced Computing department, equipped with state-of-the-art hardware and software. We provide extensive opportunities for continuous professional development and career progression for every Computing Teacher, including potential leadership responsibilities within Computing. You will work alongside a collaborative team of experienced Computing Teacher colleagues and be part of a vibrant school community that highly values technological innovation and digital literacy. Our students are keen to learn and are highly motivated, creating a rewarding environment for any dedicated Computing Teacher passionate about their subject. This Computing Teacher role is truly fulfilling

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.