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

Apply Now

Senior Cloud Engineer

Hypercube Talent
Scotland
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Computer Vision Engineer

Senior Machine Learning Engineer

Senior Data Scientist - Financial Services - Outside IR35

Senior / Lead Data Scientist - AI Agents - Outside IR35

Artificial Intelligence

Compensation £60,000 - £70,000 Base Performance Related Bonus Benefits Who are we? Hypercube Consulting is the cloud, data, and AI consulting company for the energy sector. We're building a world-class team of technology experts with deep domain knowledge in all things energy. To understand more about who we are and what we do, visit our website here: Hypercube | AI | Data Science | Data Strategy | Data Engineering - Unlocking the power of data and AI for the energy sector To get a better understanding of how we think and some of the ways we work, check out our founder’s blog here:https://aesroka.substack.comRole purpose First of all - we're adaptable and interested in a mix of people to make the best team. We're currently looking for someone that fits either the typical data engineer or machine learning engineer role (or a blend). This is an early hire for a young, fast-growing consultancy. We're looking for someone that is adaptable and driven that wants to grow with our business and have a strong say in how we shape the company. Work with our expert data and analytics consultants to help customers deliver more value from their data. This will be a key role in the technical delivery teams and will guide and support the ongoing data strategy and roadmap goals of our customers. Day-to-day work will involve project delivery and collaborating with stakeholders across our internal and customer teams. Technical work will include building, testing, deploying, maintaining, packaging, and explaining cloud infrastructure, machine learning, data platform and advanced analytics solutions for our customers - built with modern tools across the open source and cloud platform landscape. You'll spend time capturing requirements and working with the other consultants to turn them into production-grade solutions - getting value into production is our prime concern for all our engagements. You will act as a champion and subject-matter expert for cloud engineering across the business, helping to cross-skill and upskill others. You will also be heavily involved in the outreach and knowledge sharing that Hypercube does. We strongly believe that giving back to the community is an important part of our purpose and the best way to learn. We will help you grow your brand through speaking, blogging, or other outreach methods should you wish. Finally, you’ll be in the driving seat to help shape and win new projects, whether that be through presales demos, meeting with prospective customers, or shaping longer-term relationships. Accountabilities Provide guidance, leadership, and mentoring to cloud engineers to help build cloud competencies within the team. Understand customer requirements to design effective cloud infrastructure solutions. Lead the implementation of cloud-based infrastructure and security solutions that empower customer users to work more securely and efficiently. Communicate effectively both externally and internally to ensure projects are delivered to the customer’s satisfaction. Responsible for the continuous improvement for build processes and operational customer documentation and proactively recommending improvements for these processes. Confidently design large parts of a cloud infrastructure solution with a cloud architect and understand how they combine with others to form a complete system. Ensure any technical issues met on delivery or support by the cloud engineers are investigated and resolved and if required, escalated to a cloud architect. Work closely with the Project Manager to ensure technical tasks are completed on time and to a high-quality standard. Participate in pre-sales engagements to feed into sales proposals with detailed scope of works, assumptions and correct time estimates working with a cloud architect. Technical skills We understand that this list is extensive – please apply if you fit some or only part of it we're flexible and are mostly looking for bright people that can adapt as the role grows. We want to see the broadest range of possible candidates from a diverse mix of backgrounds. Technical skills are only part of the equation. Ideally, you will have hands-on experience with the following in a previous role: Cloud platforms (AWS, Azure, GCP) Core networking, security, server, virtualisation, and active directory technologies. Azure Active Directory – Authentication, Authorisation, Conditional Access, AD Connect. Scripting – PowerShell, Azure CLI, JSON. Azure Files and Azure Storage. Azure Virtual Machines. Azure Monitor, Azure log analytics, Kusto Query Language. Azure SIEM, Azure Security Center. Azure Backups, Azure Site Recovery, Azure Migrate. Azure Networking and Firewalls. Azure SQL security, backup, recovery, resilience. Additional experience with the following would be beneficial, but not essential: Infrastructure as code. Microsoft 365 Security and Compliance. Microsoft 365 Endpoint Management. Microsoft 365 Exchange Online. Microsoft SharePoint Online. Microsoft OneDrive for Business. Containers and related services (AKS, Container Registry) Kubernetes Docker CI/CD Testing Other desirable skills and experience Technical mentoring for cloud engineers. Strong verbal and written communication with ability to adhere to documentation standards and support cloud engineers to improve their written and verbal communication. Continuous learning and development through on the job and self-study, combined with achieving certifications relevant to the business strategy. Strong troubleshooting capabilities and ability to get to the root cause quickly and to mentor cloud engineers to adopt same principles. Ability to think out of the box when faced with difficult technical challenges and propose solutions to these challenges, and help cloud engineers when faced with similar challenges. Ability to act as a driving force in a growing technology consultancy Building projects or sharing knowledge in public – whether that be contributing to open source, blogging, YouTube, content creation, speaking at events, or similar. Experience in collaborating in multidisciplinary teams, including software engineers, DevOps and infrastructure teams, data scientists etc. What’s in it for you? Hypercube is a young, growing data and analytics consultancy that aims to bring in the best possible talent to solve the most interesting challenges for our customers. We’re willing to do what it takes to secure the best possible people. We want to build a world-class team. You’ll be one of the earliest hires for our organisation and, therefore, will have a huge impact on the culture and how it is shaped. You’ll have the chance to influence decisions in a fast-paced start-up and grow with the organisation. You'll have direct access to our existing team of experienced data and analytics leaders and their wider network. You’ll also be helped to grow your own brand as you contribute to the outward-facing aspects of this business. Benefits Pension Performance related bonus Cycle to work scheme Flexible working Events and community Private health insurance Health cash plan EV leasing scheme (soon) Training and events budget Mentorship programmes and more to come (we're exploring some cool stuff, watch this space) IMPORTANT Hypercube is committed to creating a diverse and inclusive employee environment which is as representative as possible of our society. All qualified applicants will receive consideration for employment without regard to age, disability, gender reassignment, marriage and civil partnership, pregnancy/maternity, race, nationality, religion or belief, gender, and sexual orientation. Finally, we would consider part-time, condensed hours, job-share, and other flexible arrangements to secure the absolute best people. If in doubt, please ask, and we'll see how to make it work.

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.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.