Psychology Teacher

Wayman Education

Richmond, Greater London

10 months ago

Applications closed

Posted: 4 Jul 2025 (10 months ago)

Save job

Create job alert

Applications closed

Psychology Teacher - Ambitious Richmond School
Are you a Psychology Teacher who can spark vibrant discussions about human cognition and behavior in the classroom? Our ambitious school in Richmond is searching for an enthusiastic Psychology Teacher to join our successful Humanities department. This is a fantastic opportunity for a Psychology Teacher to inspire critical thinking about psychological theories, research methods, and contemporary issues, teaching Psychology from KS4 to KS5. We're looking for a Psychology Teacher with excellent subject knowledge and a drive to empower young psychologists through the study of Psychology. If you are a dynamic Psychology Teacher, this Psychology Teacher role is for you.
Location: Richmond Role: Psychology Teacher (Full-Time, Permanent) (TLR Opportunities)
Your Responsibilities:

Deliver engaging and challenging Psychology lessons across Key Stages 4 and 5.
Foster a deep understanding of psychological concepts, ethical considerations, and research in Psychology.
Collaborate with a dedicated Humanities team to enhance our Psychology curriculum and student research projects.
What We Offer:
A vibrant school environment with a strong commitment to academic excellence in Psychology.
Opportunities for leadership development and potential TLR roles for the right Psychology Teacher.
A supportive and collaborative culture that values every teacher's contribution to Psychology education.
Candidate Requirements:
Qualified Teacher Status (QTS) with a strong degree in Psychology or a related field.
Proven experience teaching Psychology at secondary level, particularly at A-Level.
A creative and inspiring Psychology Teacher with excellent communication and interpersonal skills.
Ready to Influence Tomorrow's Thinkers? Apply now to join our dynamic team as a Psychology Teacher

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Apr 9, 2026

Products

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Mar 24, 2026

Jobs

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

Feb 10, 2026

Careers

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.