Cloud Computing Engineer - Trainee

e-Careers Limited
Solihull
1 year ago
Applications closed

Related Jobs

View all jobs

Advisory AI Infrastructure / MLOps Engineer

Manufacturing Data Scientist

Lead/Senior Data Scientist - Ad Tech Locational Data

Lead/Senior Data Scientist - Ad Tech Locational Data

Vice President, Head of Discovery Data Science

Senior Machine Learning Scientist

NO EXPERIENCE REQUIRED, WE WILL PROVIDE FULL TRAINING

Take the first steps towards a new and exciting career in Cloud Computing.

Due to a severe skills shortage in the marketplace AWS Cloud Computer Engineers are in high demand.

We have a pool of employers who are seeking to employ newly trained individuals who are motivated to pursue a career in Cloud Computing.

Our programmes will provide you the knowledge, skills and certifications required to succeed. Upon completion we will match you with our pool of employers, to help fill essential roles within this sector.

Join us on our free AWS Career Webinar, by clicking 'Apply for this job', and we will send you the joining link. Once you have attended this free online event, you can decide if this is something that you would like to pursue.

Requirements

NO EXPERIENCE REQUIRED

You should:

  • Have a moderate understanding of the basics of IT.
  • Be committed to pursuing a career in Cloud Computing.
  • Be a quick learner.
  • Be able to think in a structured manner.

Benefits

  • Quickest way to enter a lucrative career within Cloud Computing.
  • Gain the skills, knowledge and certificates required for a career in Cloud Computing.
  • Increased earning potential and job security.
  • Flexible working opportunities within the industry.
  • Platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking and DevOps.

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.

Careers

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.

Jobs

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.

Education

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.