Mathematics & Computing Teacher

Skirbeck
1 year ago
Applications closed

Related Jobs

View all jobs

Scientist in Quantum Computing and Machine Learning

Data Scientist

Senior Data Scientist - Optimisation

Data Scientist - Pricing

Data Scientist – Advanced Analytics

Data Scientist – Advanced Analytics

Mathematics & Computing Teacher (Part-Time/Temporary)

Boston

£28,000 - £43,685 per annum (salary is depending on experience and/or qualifications)

The role

Vision for education is looking to appoint a Mathematics & Computing Teacher to work in a client school as head of Department. This role is 5 days a week.

The successful candidate must lead and manage the development of an innovative and rigorous curriculums specifically tailored to the subject of Maths & Computing. Ensure the curriculum aligns with national standards and promotes deep learning experiences. Set high expectations for student achievement and ensure all learners are provided with the necessary support and resources to succeed. Analyse data and implement targeted interventions to address student needs and improve outcomes. Ensure interventions for students are timely and effective across the department.

Requirements
To be considered for the position of Mathematics & Computing Teacher, you will:

National Professional Qualification for Senior Leadership (NPQSL) or working towards.
UK Qualified Teacher Status (QTS).
Have excellent subject knowledge of Maths & Computing.
Hold, or be prepared to undergo an Enhanced DBS, registered to the Update Service
What we offer
As a Mathematics & Computing Teacher, part of our team, you benefit from: 

Excellent daily rates paid using the PAYE system. (Daily rate is subject to your scale rate, experience in role and qualifications which will be discussed at the point of registration.)
Guaranteed pay scheme (subject to availability).
Social and networking events.
Pension contributions.
CPD to help with your professional development.
Access to a dedicated consultant.
About us
We are a market-leading education supply agency committed to the development of young people. With branches across the country, we are an employer of choice for high quality educators.

We do not discriminate on the grounds of age, gender, race, colour, religion, disability, or sexual orientation, and we welcome applications from all sections of the community.

How to apply

If you are a Mathematics & Computing Teacher who can enthuse, motivate, and engage learners and would like the challenge of working in a rewarding environment, then we want to hear from you.

Apply today via this website, or for more information about this role and other opportunities call us on (phone number removed)

#VisionTeacher

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 Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.