Head of Geography Department

CLARUS EDUCATION
Basildon
10 months ago
Applications closed

Related Jobs

View all jobs

Head of Data Science

Head of Machine Learning (Recommendations, AI Stylist & Search)

Head of Analytics & Data Science

Vice President, Head of Discovery Data Science

Junior Data Engineer (Data Science)

Senior Research Data Scientist

Position: Geography Teacher and Head of Geography TLRYear Group: KS3 & KS4 and KS5TLR: Head of GeographyTLR: 2CSalary: MPS – UPS + TLR allowanceSalary: INNER LONDONLocation: London Borough of Barking and DagenhamContract type: Full timeContract term: PermanentStart: September 2025Job overviewWe are looking to appoint an innovative and enthusiastic Geography Teacher and Geography Leader to join our team for a September 2025 start.We are looking for a dedicated and inspirational individual to lead ever expanding and successful Geography department. You will be able to combine excellent geographical and pedagogical knowledge to inspire students our students, both inside and outside of the classroomThis position is open to experienced Geography Teachers who are either looking to gain leadership experience, or an accomplished leader seeking further experience in a new school setting.The successful candidate will:Have a passion for Geography which is evident in their day to day teaching. Be a highly competent teacher. Contribute and show commitment to our innovative and forward thinking department. Contribute fully to extracurricular activities. Play a full and active role in the life of the school. Be a reflective practitioner with focusses on continuous learning and development of practice.In return, we can offer you:A cohesive team of people who believe in working collaboratively; sharing ideas and supporting each other.

A welcoming and supportive community The opportunity to work with passionate, hard working and supportive team members Unrivalled CPDL opportunities to further develop your skills as a classroom practitioner and to develop leadership skills as you progress.

Spacious well-equipped classrooms. A school that understands the importance of staff wellbeing and work load managementTHINGS TO KNOW ABOUT OUR SCHOOL:We were rated GOOD with OUTSTANDING features INNER LONDON SALARY WEIGHTING Clear systems and lesson structures to support pace and creativity Easily accessible from Central London and Essex Fantastic reputation within the local community A high-quality induction and extensive in-house CPD programme available to staff as part of our strong commitment to staff development 18 weeks paid holiday per year Employee perks such as access to Cyclescheme, Techscheme and an Electric Car Scheme. Outstanding training and development Excellent SLT with year group support Shared creation of resources and ideas Exceptional modelling through weekly lesson studies in core curriculum areas. Located in Barking and Dagenham We are dedicated to safeguarding and promoting the welfare of children and expect all staff to share this commitment. You will have a safeguarding responsibility if appointed. The successful candidate will be subject to enhanced clearance through the Disclosure and Barring Service and employment will be subject to references. This post is not exempt from the Rehabilitation of Offenders Act 1974.To apply for this opportunity your detailed CV to Georgina Clarus Education now to be considered. We will be contacting those shortlisted within 48 hours of an application.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.#INDPTLDN22 #INDPTLND22

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.