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

Apply Now

Teacher of Science

Hays Specialist Recruitment - Education
Ashford
10 months ago
Applications closed

Related Jobs

View all jobs

Lecturer Humanities Data Science

Senior Machine Learning Engineer

Data Scientist

Data Scientist

Data Analyst Trainee

Science Teacher Are you a curious and enthusiastic educator with a passion for science and discovery? We are looking for a dedicated Science Teacher to join our school and inspire students to explore the wonders of the natural world through engaging and hands-on learning experiences. Hays is working with a Good Ofsted rated, mixed 11 - 18 wide ability school with Academy status with 2000 students. The school is situated in Ashford and enjoys a large semi-rural site overlooking open countryside. Role and Responsibilities:Develop and deliver captivating science lessons that cover a range of subjects, such as Biology, Chemistry, Physics, and Environmental Science.Foster a safe and inclusive classroom environment that encourages student enquiry, critical thinking, and scientific exploration.Utilise laboratory equipment and technology to conduct experiments and demonstrations that enhance students' understanding of scientific principles.Promote scientific literacy and encourage students to apply their knowledge to real-world challenges and environmental issues.Collaborate with fellow teachers and staff to develop interdisciplinary projects and initiatives that integrate science with other subjects. Requirements:Bachelor's degree in Science Education, Biology, Chemistry, Physics, or a related field; Master's degree preferred.Teaching certification or relevant teaching qualifications. QTSProven experience in teaching science at the secondary or higher education level.Strong knowledge of scientific principles, research methodologies, and current educational trends in science.Excellent communication, organisational, and problem-solving skills. Benefits:Competitive salary and benefits package based on qualifications and experience.Opportunities for professional development and continuous learning in the field of science education.Access to modern laboratory facilities and resources to enhance the learning experience.Supportive and collaborative work environment. Application Process: To apply for this exciting opportunity, please click 'apply now' to forward an up-to-date copy of your CV, or call us now Join our team and spark the love for science in the next generation of innovators and problem solvers! #ScienceTeacher #TeachingOpportunity #EducationCareer We also offer a £250 refer a friend scheme, if you know of anyone who is looking for supply work, If this job is not quite right for you, but you are looking for a new job in education, please still contact your local office for a confidential discussion on your career and different opportunities that are available.Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.