Science Teacher

Thorpe Abbotts
3 days ago
Create job alert

A leading independent school in Suffolk is seeking a committed and energetic Science Teacher to join its outstanding academic team. The position involves teaching Science across KS3 and KS4, with the possibility of delivering your specialism—Biology, Chemistry, or Physics—at KS5. The school fosters a nurturing and intellectually ambitious environment where both students and staff are encouraged to thrive.

The Science department is well-equipped with state-of-the-art laboratories and supported by experienced technicians. With small class sizes and a collaborative ethos, the school promotes deep learning and critical thinking through hands-on scientific inquiry and personalised instruction.

What We Offer:



Excellent laboratories and practical teaching resources

*

Opportunities to teach specialist subjects at Sixth Form level

*

A values-driven school culture prioritising curiosity and scholarship

*

High-calibre students and a strong sense of community

*

Structured professional development and internal career progression

Requirements:

*

QTS and relevant subject qualifications

*

Ability to teach across KS3 and KS4, with potential for KS5

*

A passion for developing scientific literacy and curiosity

*

Strong interpersonal and classroom management skills

*

Legal right to work in the UK

This is an ideal position for a Science Teacher looking to work in an academically focused and supportive independent school

Related Jobs

View all jobs

Science Teacher

Computer Science Teacher

Computer Science Teacher

Computer Science Teacher

Computer Science Teacher

Computer Science Teacher

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.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.