Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Cloud Operations Engineer - Trainee

e-Careers Limited
Leicester
8 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Operations Engineer

Machine Learning Operations Engineer

Machine Learning Operations Engineer

Machine Learning Operations Engineer

Machine Learning Operations Lead

Machine Learning Engineer

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.