Cloud Operations Engineer - Trainee

e-Careers Limited
Manchester
1 year ago
Applications closed

Related Jobs

View all jobs

Advisory AI Infrastructure / MLOps Engineer

Database Platform Engineer - OT & Cloud DataOps

Lead DataOps SRE for Cloud-Scale Data Pipelines

Machine Learning Engineer, Platform

Lead DataOps SRE — Cloud Data Pipelines

Data Engineer (Data Science)

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.

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.