Computer Science Teacher

Uxbridge South
10 months ago
Applications closed

Related Jobs

View all jobs

Assistant Professor in Statistical Data Science

Data Science & Software Placement Year Student

Lead Computer Vision & Robotics R&D Engineer

MSc Data Science and Artificial Intelligence

Data Science Consultant

Online MSc in Data Science & AI - Flexible, Part-Time

Department: Computer Science – Key Stage 3, Key Stage 4, Key Stage 5

Inspire the Next Generation of Tech Innovators

A fantastic secondary school in Uxbridge is seeking a passionate and dedicated Computer Science Teacher to join its growing department. The school is committed to providing a cutting-edge digital learning environment where students develop essential programming, problem-solving, and computational thinking skills to prepare them for the modern technological world.

The Role

The successful candidate will:

  • Deliver engaging and high-quality Computer Science lessons across Key Stage 3, Key Stage 4, and Key Stage 5.

  • Teach core topics such as Python programming, algorithms, data structures, cybersecurity, and artificial intelligence.

  • Inspire students to develop computational thinking and technical problem-solving abilities.

  • Contribute to the ongoing development of an innovative and challenging Computer Science curriculum.

  • Use state-of-the-art technology, coding platforms, and digital resources to enhance learning experiences.

  • Assess, monitor, and support student progress, providing tailored feedback to maximise achievement.

  • Engage in extracurricular activities such as coding clubs, hackathons, and partnerships with the tech industry.

    Candidate Requirements

    The ideal candidate will:

  • Be a qualified teacher (QTS/QTLS) with a strong background in Computer Science.

  • Have experience teaching Computer Science to A-Level, with a proven track record of student success.

  • Be passionate about technology, coding, and innovation in education.

  • Demonstrate excellent subject knowledge and classroom management skills.

  • Work collaboratively within the Computer Science department to maintain high teaching standards.

    Investment in Digital Learning

    The school has made significant investments in its Computer Science Department, providing access to high-spec computer labs, industry-standard software, and cutting-edge AI and robotics tools. As a result, students consistently achieve excellent A-Level results, with many progressing to top universities and careers in software development, cybersecurity, and data science. The department is committed to delivering hands-on, project-based learning to equip students with real-world skills.

    Why Join This School?

  • Outstanding Facilities – Teach in modern computer labs equipped with the latest technology.

  • Strong Tech Faculty – Be part of a dedicated and high-achieving department.

  • Career Development – Access CPD and leadership opportunities to enhance professional growth.

  • Student Success – Join a school where A-Level Computer Science students achieve impressive results year after year.

  • Prime Location – Situated in Uxbridge, with great transport links and a vibrant local community.

    Application Process

    If you are a passionate and ambitious Computer Science Teacher, applications are welcome.

    How to Apply:

    Interested candidates should submit their CV detailing their suitability for the role to Lorenzo Fuller or call me on (phone number removed).

    The school is committed to safeguarding and promoting the welfare of children and young people. All appointments are subject to an enhanced DBS check and satisfactory references

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 to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.