Year 5 Teacher – KS2 Teacher

CLARUS EDUCATION
Gillingham
1 month ago
Applications closed

Related Jobs

View all jobs

Data Science Engineer

Distinguished Engineer - AI & Data Science

Data Science Lead

Data Science Lead

Senior Data Scientist

Lead Machine Learning Engineer

Year 5 Teacher – KS2 TeacherJob Advert: Year 5 Teacher – KS2 TeacherPosition: Year 5 Teacher (KS2)Salary: MPS-UPS3 £36,413 - £53,994Location: BexleyContract Type: Full-Time, PermanentStart Date: April 2025Are you passionate about shaping young minds and making a lasting impact on students' lives? Our Bexley Primary School is seeking an enthusiastic and dedicated Year 5 Teacher (KS2) to join our dynamic team. This is a fantastic opportunity for both Early Career Teachers (ECTs) and experienced educators to contribute to our thriving school community.About the Role - Year 5 Teacher – KS2 Teacher:As a Year 5 Teacher (KS2) at Bexley Primary School, you will play a crucial role in delivering high-quality education to our Year 5 students. You will be responsible for planning and implementing engaging lessons that cater to the diverse needs of your students, ensuring they achieve their full potential. Your creativity, dedication, and passion for teaching will help foster a positive learning environment where every child can thrive.Key Responsibilities:Delivering the KS2 curriculum with a focus on Year 5Planning and preparing engaging and challenging lessonsAssessing and monitoring student progressCreating a positive and inclusive classroom environmentCollaborating with colleagues to enhance the overall educational experienceParticipating in school events and extracurricular activitiesYear 5 Teacher – KS2 Teacher -Requirements:Qualified Teacher Status (QTS)Strong knowledge of the KS2 curriculum, particularly Year 5Excellent classroom management skillsAbility to inspire and motivate studentsStrong communication and interpersonal skillsCommitment to continuous professional developmentWhy Join Us?Supportive and collaborative school communityOpportunities for professional development and career progressionAccess to modern teaching resources and facilitiesA welcoming environment for both ECTs and experienced teachersCompetitive salary and benefits packageAt our Bexley Primary School, we are committed to providing a nurturing and stimulating environment where both students and teachers can excel. If you are a dedicated Year 5 Teacher (KS2) looking for a rewarding role in a supportive school, we would love to hear from you.Application Process:Join us at our Bexley Primary School and be a part of our journey to excellence in education. We look forward to welcoming a new Year 5 Teacher (KS2) to our team!To apply for this Year 5 Teacher – KS2 Teacher, please get in touch today! We are recruiting for this Year 5 Teacher – KS2 Teacher role now and will be interviewing ASAP.We are dedicated to safeguarding and promoting the welfare of children and expect all staff to share this commitment. As a Year 5 Teacher – KS2 Teacher, you will have a safeguarding responsibility if appointed. The successful Year 5 Teacher – KS2 Teacher candidate will be subject to enhanced clearance through the Disclosure and Barring Service and employment will be subject to references. This Year 5 Teacher – KS2 Teacher post is not exempt from the Rehabilitation of Offenders Act 1974.Apply for this Year 5 Teacher – KS2 Teacher opportunity by sending your CV to Chloe at Clarus Education. You will be contacted by your personal consultant (if shortlisted) for the Year 5 Teacher – KS2 Teacher role within 48 hours.Please see our website page headed ‘About’ and scroll to the bottom to see our ‘Privacy Notice’ for an explanation about how we use information we collect about you.Year 5 Teacher – KS2 Teacher#INDPTLDN22

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.

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

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.