Secondary Teacher

Smile Education Recruitment
Beighton
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Scientist - Private Equity

Senior Data Engineer

Data Analyst - Certification schemes

Senior Data Analyst - P&C / Reinsurance

Senior Data Analyst - P&C / Reinsurance

Secondary Teacher – SheffieldJan 2025Long-Term, full-time contract  Are you ready to embark on an exciting journey into the world of education? Have you recently graduated from University with a Science Degree and are considering teaching as a vocation? You must have UK teaching experience and have worked within a UK school during the last academic year, ideally also have QTS. “We're on a quest to find a passionate and dedicated Science Graduate who wants to join the world of teaching and support students through the wonderful realm of learning.” Smile Education South Yorkshire are working with one of the highest performing academies across Sheffield. This trust is relentless on their focus to ensure all their student achieve the highest level of education. They promote a can-do, independent culture with an emphasis on ensuring their students are set up for future success by the time they leave this school. They value diversity and cultivate mutual respect, integrity, and honesty – Does this sound like something you would want to be part of? How could it not! The Role - you are supporting with general cover as a Graduate Cover Supervisor; You are responsible for carrying out pre-prepared and pre-planned exercises. This is a very easy introduction to class teaching.Cover Supervisor - This involves supervising pupils and ensuring they are engaged in the classwork. You will help pupils to become more independent in their learning and encouraging pupils to interact.The Opportunity- It is an excellent opportunity for anyone who does not hold a teaching qualification but would welcome the opportunity to work in a classroom.The is no planning involved, minimum preparation and there is always an allocated cover manager on site to help assist with any queries. What are the requirements of a Cover Supervisor?Supervise pupils out of lesson times, including break-times, before and after school (including corrections), and during school tripsPrepare the learning environment before lessons including the distribution of learning materials etc, undertaking administrative support.Ensure that the classroom is left in good order at the end of a lesson.Manage the behaviour of pupils during the lesson according to the school’s behaviour management policy, and to ensure a constructive learning environment.Report back as appropriate on the behaviour of pupils during the lesson and any other issues that may arise. In accordance with school policies, deal with any immediate problems or emergenciesWhat We Offer at Smile Education:Competitive salary and comprehensive benefitsTraining and support along the wayFree Safeguarding training is also provided.An inspiring, innovative, and inclusive educational communityOpportunities for professional growth and developmentThe chance to be part of our mission to shape future leaders. Join our quest for knowledge and become an essential part of our school's success. If you're excited to empower students, spark their curiosity, and make a real difference in their lives, we want to hear from you! To embark on this educational adventure with us, please submit your most up to date CV or email this over to (url removed) for more information please call: (phone number removed) Apply now and help us create a thriving and inspiring learning environment for students. Your dedication and enthusiasm are the key to our success!  Please be aware we do not offer sponsorships, valid RTW documents are required, including visa and a share code. Smile Education is committed to safeguarding children. Each applicant will be required to undergo compliance checks, including Prohibited list, Barred list, DBS, and Qualifications checks.We are committed to safeguarding children. Each applicant will be expected to undertake compliance checks including Prohibited list, Barred list, DBS and Qualifications

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.

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

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

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.