Air Conditioning Engineer

Future Engineering Recruitment Ltd
Dartford
11 months ago
Applications closed

Related Jobs

View all jobs

Applied Machine Learning Engineer

Lead Machine Learning Engineer

Senior Machine Learning Engineer

Machine Learning Engineer

Data Science Engineer

Machine Learning Engineer - Satellite

Air Conditioning EngineerKent£50,000- £55,000 + Overtime (Uncapped) + Training + Company Car + Company Card + Pension + Immediate StartAre you an experienced air conditioning engineer looking to maximise your earnings with uncapped overtime in an organisation that offers job stability and a supportive work environment? If so, this is the role for you! This company is looking for someone who is committed to delivering high quality repairs and will provide ongoing training to ensure you are able to work to the best of your ability. This company has been around for over a decade and specialises in installations, service repairs, and maintenance of air source heat pumps, air conditioning, and ventilation systems. Your role as an experienced air conditioning engineer will be customer focused working on residential and commercial ensuring all tasks are completed to the highest standards. If you are looking to secure your career in a role that will ensure job satisfaction and have a positive go-getter attitude then this company wants to hear from you. Your Role As An Air Conditioning Engineer Will Include:Perform maintenance, servicing, and repairs on a range of air conditioning systems, including Splits, Multis, VRVs, and FCUs.Maintain strong, professional relationships with customers,The Successful Air Conditioning Engineer Will Have:A minimum of 5 years' experience in the air conditioning industryF-gas and City&GuildsBe located close to DartfordA valid full UK driving licence If you are interested in this position please contact Sai on (phone number removed)Keywords: Air Conditioning, Service Engineer, Job Stability, Supportive Work Environment, Installations, Service Repairs, Maintenance, Air Source Heat Pumps, Ventilation, Residential, Commercial, Splits, VRVs, FCUs, Kent, Dartford, London Central, Darenth, Hook Green, South Darenth, Stone, Bexleyheath, Maidstone, Gravesend

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.