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

Apply Now

Senior Cloud Engineer

Opus Recruitment Solutions
Nottingham
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer (One Braham (4140), London, United Kingdom)

Urgent Search: Senior Machine Learning Engineer (One Braham (4140), London, United Kingdom)...

Executive Director / Principal Data Scientist

Staff Data Scientist (UK)

Staff Data Scientist (UK)

Senior Machine Learning Engineer

Senior Cloud Engineer | Nottingham | £75,000 - £85,000


Azure | Terraform | Healthcare | Tech4Good | Bicep | Service Bus | ARM | ADO | Azure DevOps


Do you crave innovation?


I have just partnered up with a close-knit, award-winning team that's pioneering the future of AI, bot technology, and machine learning! They are not just another company – they’re finalists for "Company of the Year," and looking for passionate individuals to thrive in a cutting-edge environment.


Having developed cutting edge platforms and chatbots, this tech team are ensuring there is an exceptional user experience in a complex and rich domain. As a Senior Cloud Engineer, joining this team, you will be working alongside the developers in a tight-knit manner, to ensure the infrastructure runs smoothly.


Their current Cloud Engineers are leveraging Azure, Terraform, Azure CLI, Service bus, Docker, Azure DevOps and Powershell to name a few technologies.


Whilst a broad skillset is a plus, we are ideally looking for strong Azure engineers who are passionate and have excellent communications skills, the rest can be taught!


Benefits and perks:


The successful Cloud engineer can earn up to £85k, in a hybrid role, have a personal development programme put in place from day one, restaurant vouchers, private healthcare, 25 days holiday plus can buy or sell holidays and a quick interview process.


Interested in learning more? Or know anyone in your network who might be interested? Then please click apply or send a copy of your CV to


Please note, we cannot sponsor for this role, for the time being.

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.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 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.