Computer Science Teacher

Uxbridge South
2 weeks ago
Create job alert

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

Related Jobs

View all jobs

Computer Vision Engineer

Computer Scientist

Computer Vision Engineer - Contract (inside)

Research Associate in Bioinformatics and Data Science

Computer Vision Development Engineer

Python/Data Science Developer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

Tips for Staying Inspired: How Machine Learning Pros Fuel Creativity and Innovation

Machine learning (ML) continues to reshape industries—from personalised e-commerce recommendations and autonomous vehicles to advanced healthcare diagnostics and predictive maintenance in manufacturing. Yet behind every revolutionary model lies a challenging and sometimes repetitive process: data cleaning, hyperparameter tuning, infrastructure management, stakeholder communications, and constant performance monitoring. It’s no wonder many ML professionals can experience creative fatigue or get stuck in the daily grind. So, how do machine learning experts keep their spark alive and continually generate fresh ideas? Below, you’ll find ten actionable strategies that successful ML engineers, data scientists, and research scientists use to stay innovative and push boundaries. Whether you’re an experienced practitioner or just breaking into the field, these tips can help you fuel creativity and discover new angles for solving complex problems.

Careers

Top 10 Machine Learning Career Myths Debunked: Key Facts for Aspiring Professionals

Machine learning (ML) has become one of the hottest fields in technology—touching everything from recommendation engines and self-driving cars to language translation and healthcare diagnostics. The immense potential of ML, combined with attractive compensation packages and high-profile success stories, has spurred countless professionals and students to explore this career path. Yet, despite the boom in demand and innovation, machine learning is not exempt from myths and misconceptions. At MachineLearningJobs.co.uk, we’ve had front-row seats to the real-life career journeys and hiring needs in this field. We see, time and again, that outdated assumptions—like needing a PhD from a top university or that ML is purely about deep neural networks—can mislead new entrants and even deter seasoned professionals from making a successful transition. If you’re curious about a career in machine learning or looking to take your existing ML expertise to the next level, this article is for you. Below, we debunk 10 of the most persistent myths about machine learning careers and offer a clear-eyed view of the essential skills, opportunities, and realistic paths forward. By the end, you’ll be better equipped to make informed decisions about your future in this dynamic and rewarding domain.

Careers

Global vs. Local: Comparing the UK Machine Learning Job Market to International Landscapes

How to evaluate opportunities, salaries, and work culture in machine learning across the UK, the US, Europe, and Asia Machine learning (ML) has rapidly transcended the research labs of academia to become a foundational pillar of modern technology. From recommendation engines and autonomous vehicles to fraud detection and personalised healthcare, machine learning techniques are increasingly ubiquitous, transforming how organisations operate. This surge in applications has fuelled an extraordinary global demand for ML professionals—data scientists, ML engineers, research scientists, and more. In this article, we’ll examine how the UK machine learning job market compares to prominent international hubs, including the United States, Europe, and Asia. We’ll explore hiring trends, salary ranges, workplace cultures, and the nuances of remote and overseas roles. Whether you’re a fresh graduate aiming to break into the field, a software engineer with an ML specialisation, or a seasoned professional seeking your next challenge, understanding the global ML landscape is essential for making an informed career move. By the end of this overview, you’ll be equipped with insights into which regions offer the best blend of salaries, work-life balance, and cutting-edge projects—plus practical tips on how to succeed in a domain that’s constantly evolving. Let’s dive in.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.