Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Computer Science Teacher

Uxbridge South
8 months ago
Applications closed

Related Jobs

View all jobs

Assistant Professor (Education) in Data Science

Assistant Professor (Education) in Data Science

Computer Vision Specialist - AI Trainer

Computer Vision and Artificial Intelligence Engineer - Summer Placement 2026

Data Science Principal

Data Science Lead - Health AI

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.