Math Teacher

Hertford
2 weeks ago
Create job alert

Math Teacher

Are you a passionate Maths Teacher or an Early Career Teacher (ECT) eager to inspire young minds and make a real difference in education? This is your opportunity to join a smaller, community-focused secondary school in Hertfordshire, where excellence in teaching meets a supportive and collaborative environment.

This well-organised school is celebrated for its exceptional facilities, personalised approach to education, and a strong emphasis on student success. Through high-quality teaching in modern, purpose-built classrooms, pupils here display a remarkable thirst for learning. The school prides itself on fostering a cohesive and happy atmosphere, making it an ideal place for both students and staff to thrive.

As a Maths Teacher, you will have the opportunity to teach across Key Stages 3, 4, or 5, delivering engaging and innovative lessons that spark a love for mathematics. Whether you’re a seasoned teacher or an ECT, the school offers a robust mentoring programme and professional development opportunities to ensure you feel supported and confident in your role.

What We Offer:

• Teach Maths at secondary level (KS3-KS5) in a welcoming and inclusive school environment.

• Benefit from excellent, modern facilities designed to enhance teaching and learning experiences.

• Join a smaller, community-driven school that values collaboration and innovation.

• Enjoy a personalised professional development programme, especially tailored for ECTs.

• Be part of a school where students are eager to learn and staff are committed to excellence.

If you’re a Maths Teacher ready to inspire the next generation and grow your career in a fantastic school, we’d love to hear from you!

Why work via Teach Now?

Teach-Now are a widely recognised, education recruitment company. We pride ourselves on our high levels of customer service and professional development that we offer our teachers and support staff.

We:

• Ensure that you will have your own dedicated consultant who will provide ongoing support and guidance.

• Offer an excellent ‘refer a friend’ scheme that pays you £150 for each candidate you refer to us after they have worked and been paid for their first 10 days.

• Pay in line with the Agency Worker Regulations (AWR) meaning you will be paid equally to a permanent employee.

• Give you access to a wide range of CPD training through our in-house team of experienced senior leaders

Teach Now operates stringent safer recruitment procedures

We are committed to promoting equality and challenging discrimination. Teach Now is committed to safeguarding and promoting the welfare of children, young people, and vulnerable adults and expects all staff and volunteers to share this commitment. This post will be subject to an Enhanced DBS Clearance

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.

Quantum-Enhanced AI in Data Engineering: Reshaping the Big Data Pipeline

Data engineering has become an indispensable pillar of the modern technology ecosystem. As companies gather massive troves of data—often measured in petabytes—the importance of robust, scalable data pipelines cannot be overstated. From ingestion and storage to transformation and analysis, data engineers stand at the forefront of delivering reliable data for analytics, machine learning, and critical business decisions. Simultaneously, the field of Artificial Intelligence (AI) has undergone a revolution, transitioning from niche research projects to a foundational tool for everything from predictive maintenance and fraud detection to customer experience personalisation. Yet as AI models grow in complexity—think large language models with hundreds of billions of parameters—the data volumes and computational needs escalate dramatically. The industry finds itself at an inflection point: traditional computing systems may eventually hit performance ceilings, even when scaled horizontally with thousands of nodes. Enter quantum computing, a nascent yet rapidly progressing technology that leverages quantum mechanics to tackle certain computational tasks exponentially faster than classical machines. While quantum computing is still maturing, its potential to supercharge AI workflows—often referred to as quantum-enhanced AI—has piqued the curiosity of data engineers and enterprises alike. This synergy could solve some of the biggest headaches in data engineering: accelerating data transformations, enabling more efficient analytics, and even facilitating entirely new kinds of modelling once believed to be intractable. In this article, we explore: How data engineering has evolved to support AI’s insatiable appetite for high-quality, well-structured data. The fundamentals of quantum computing and why it may transform the data engineering landscape. Potential real-world applications for quantum-enhanced AI in data engineering—from data ingestion to machine learning pipeline optimisation. Emerging career paths and skill sets needed to thrive in a future where data, AI, and quantum computing intersect. Challenges, ethical considerations, and forward-looking perspectives on how this convergence might shape the data engineering domain. If you work in data engineering, are curious about quantum computing, or simply want to stay on the cutting edge of technology, read on. The next frontier of data-driven innovation may well be quantum-powered.

Data Engineering Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data. It’s the critical lifeblood of every forward-thinking organisation, fueling everything from strategic decision-making to real-time analytics. As data volumes skyrocket and technologies mature, the UK has distinguished itself as a frontrunner in data innovation. A robust venture capital scene, government-backed initiatives, and a wealth of academic talent have created fertile ground for data-centric start-ups across the country. In this Q3 2025 Investment Tracker, we’ll delve into the newly funded UK start-ups shaping the future of data engineering. More importantly, we’ll explore the rich job opportunities that have emerged alongside these funding announcements. From building scalable ETL (Extract, Transform, Load) pipelines to architecting data warehouses and implementing advanced data governance frameworks, data engineers, architects, and analysts have an incredible array of roles to pursue. If you’re eager to elevate your career in data engineering, read on for insights into the most dynamic start-ups, their fresh capital injections, and the skill sets they’re hungry for.

Portfolio Projects That Get You Hired for Data Engineering Jobs (With Real GitHub Examples)

Data is increasingly the lifeblood of businesses, driving everything from product development to customer experience. At the centre of this revolution are data engineers—professionals responsible for building robust data pipelines, architecting scalable storage solutions, and preparing data for analytics and machine learning. If you’re looking to land a role in this exciting and high-demand field, a strong CV is only part of the puzzle. You also need a compelling data engineering portfolio that shows you can roll up your sleeves and deliver real-world results. In this guide, we’ll cover: Why a data engineering portfolio is crucial for standing out in the job market. Choosing the right projects for your target data engineering roles. Real GitHub examples that demonstrate best practices in data pipeline creation, cloud deployments, and more. Actionable project ideas you can start right now, from building ETL pipelines to implementing real-time streaming solutions. Best practices for structuring your GitHub repositories and showcasing your work effectively. By the end, you’ll know exactly how to build and present a portfolio that resonates with hiring managers—and when you’re ready to take the next step, don’t forget to upload your CV on DataEngineeringJobs.co.uk. Our platform connects top data engineering talent with companies that need your skills, ensuring your portfolio gets the attention it deserves.