Trainee Driving Instructor - Beaminster, Dorset, England

My Four Wheels
Beaminster
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Machine Learning Engineer

Graduate Machine Learning and AI Engineer

Senior Machine Learning Engineer

AI/Data Scientist

Machine Learning Engineer (Manager)

My Four Wheels are looking to expand our team and are recruiting both part time and full time Driving Instructors though out the UK. Next year there will be a record 700,000 learner drivers hitting our roads, there has never been a better time to become a Driving Instructor.

You can get further details about the nature of this opening, and what is expected from applicants, by reading the below.Becoming a Driving Instructor has many benefits, these include –A car – Get your very own dual controlled car to teach inBe your own boss – work hours which suit you (Monday to Sunday - 7am to 7pm)Excellent Pay – £20,000 - £35,000 per yearWe are looking for candidates who meet the following criteria –Reliable, Punctual, Patient, Possess excellent customer service skills, Enjoy meeting new peopleWe provide the most cost effective training in the UK. Once you have completed your training, you are guaranteed a job with us. After working with us for 1 year, we refund your training fees on a weekly basis up until year 3.Should you already hold you ADI license, no training is required.Anyone can become a Driving Instructor, recently we have recruited candidates from driving roles such as HGV Drivers, Teachers, Delivery Drivers, Accountants and Estate Agents. We also have successfully recruited candidates who decided to completely change their career from sales right to engineering.To apply for our role, you need to meet the following criteria:Have held a full UK driving licence (or approved foreign licence) for at least 2 1/2 yearsHave not been banned from driving in the last 4 yearsHave no more than 6 points on your licence.For more information, please click apply.

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.