National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Science Teacher

Phoenix Learning & Care Group
Thatcham
7 months ago
Applications closed

Related Jobs

View all jobs

Computer Science Teacher

Computer Science Teacher

Data Science Consultant - Health

Physics Teacher

KS2 Teacher and Subject Lead

Maths Teacher

Job Title:Science Teacher (SEND)

Job Location:The Grange School, Thatcham (RG2)

Salary:Between £26,250 and £37,800 depending on experience, based on working 40 hours per week, 39.2 weeks of the year.

Contract:Permanent - Term Time Only



We’re looking for a passionate and innovative Science Teacher to join our vibrant teaching team, someone who enjoys thinking outside the box and transforming traditional science lessons into engaging, hands-on learning experiences.


You’ll be working with neurodiverse children and young adults who may have additional needs relating to communication and interaction, cognition and learning, sensory and/or physical needs. We’re committed to creating an inclusive, supportive, and imaginative learning environment where you can break away from conventional teaching methods. You’ll have the flexibility to design fun and engaging lessons that cater to each pupils’ unique needs, interests, and aspirations.


We encourage you to incorporate fun, non-traditional science activities that will spark curiosity and promote active, hands-on learning. Whether it's exploring chemical reactions through cooking projects like making bread to learn about yeast or conducting outdoor nature-based experiments such as building bug hotels or observing ecosystems in action, you’ll have the freedom to engage pupils with creative and accessible lessons. Other ideas might include STEM challenges like designing and testing simple machines or conducting everyday science experiments that turn everyday items like balloons, kitchen ingredients, or plants into powerful learning tools.


With small class sizes, typically five pupils, you’ll have the opportunity to develop strong, meaningful relationships, ensuring each child receives the support and attention they need to thrive.


If you’re eager to make a meaningful difference by bringing science to life in imaginative ways, and if you’re looking to inspire pupils through a creative, flexible teaching approach, we’d love to hear from you!


A day in the life of a Science Teacher will involve:

  • Leading activities, both in and outdoors, including planning, teaching and assessing learning, particularly with ‘your’ class. This might involve teaching a range of curriculum areas and providing pastoral support.
  • Monitoring and recording progress, both academically and against EHCP outcomes.
  • Working closely with pupils to maintain their engagement, motivation and to inspire them to reach their full potential.
  • Supporting individual pupils or smaller groups to help them achieve their learning goals.
  • Fostering positive relationships with Teaching Assistants in the school and ensuring that the team around the pupil is effective.
  • Supporting team members with delivery of Science across the school.


To be a successful Science Teacher, you’ll need:

  • An ability to teach Science to Level 2 (GCSE/Functional Skills).
  • Patience, compassion and resilience in how you interact with our pupils and team members.
  • Strong verbal and written communication skills are important in this role as you’ll be speaking to a lot of different people at different times.
  • A driving licence and a willingness to take pupils on trips within the school vehicles.
  • A genuine interest in a career within this sector.


In return for your time, you’ll get:

  • Holidays –You’ll only work term time (39.2 weeks) and get paid the additional 12.8 weeks whilst you’re off.
  • Pension scheme– Our pension scheme is based on you paying in 5%, and us adding 3%.
  • Learning & Development Opportunities– We provide comprehensive learning opportunities for team members to develop themselves.
  • Discounts– You’ll have access to brilliant discounts through the Blue Light Card and our own employee benefits platform.
  • Wellbeing Support– Your wellbeing is always our priority. You’ll have access to mental health and wellbeing support. On top of this, our therapies team offers a monthly confidential check in clinic, and group reflective practice sessions.
  • Cycle2Work-The cycle to work scheme enables you to buy a bicycle at a discounted rate.
  • DBS– As this role required you to have an enhanced DBS carried out, we will cover this cost.
  • After 12 months service -You’ll be eligible for our Medicash scheme which covers a wide range of medical, health and wellbeing expenses (Including immediate access to a GP!). You’ll get life assurance paid at 2 x your annual salary, and even more high street discounts.


As part of our commitment to safer recruitment, successful applicants will undergo pre-employment checks, including an enhanced DBS, online and social media checks, and reference validation. Due to the nature of our work, we are exempt from the Rehabilitation of Offenders Act (1974), so we may ask you to disclose any spent or unspent criminal convictions during recruitment. This disclosure does not automatically disqualify you, and we encourage transparency at the application stage.


At Phoenix Learning and Care, we are committed to diversity and creating an inclusive environment where all team members feel safe to be themselves without risk of discrimination. We believe that a diverse workforce strengthens our organisation, and we strive to ensure everyone can contribute authentically and openly.

National AI Awards 2025

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 to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.