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Featured Jobs

Azure Cloud Infrastructure Engineer

Role: Azure Cloud Infrastructure Engineer Salary: £45,000 – £55,000 Location: Gloucester (Hybrid Working) Are you ready to take the next step in your cloud career? This is a fantastic opportunity to join a well-established organisation embarking on an exciting pipeline of cloud transformation projects. You’ll be working exclusively with Azure cloud technologies, shaping how the business delivers secure, scalable, and...

Gloucester

Lead Cloud platform engineer Azure/GCP - Manchester - Hybrid

Lead Cloud Platform Engineer - Manchester (Hybrid, 1-2 Days/Week in Office) Salary: £70,000 - £90,000 + Benefits Location: Manchester (Hybrid - 1-2 days in office) Employment Type: Permanent, Full-Time Work Eligibility: Must be UK-based with full right to work (no sponsorship available) We're a well-established, fast-paced organisation embarking on a series of exciting greenfield projects, and we're looking for a...

Manchester

Cloud Operations Engineer (Security)

We are seeking a driven and technically skilled Cloud & Managed IT Engineer to join our innovative Cloud and MIT department. This role is crucial for supporting customer and internal environments, complex technical escalations, optimizing platforms, and advancing automation to deliver exceptional customer outcomes. You'll work on cutting-edge cloud technologies, contribute to process improvements, and be instrumental in enhancing our...

Ampthill

Head of Customer Delivery

Head of Customer Delivery Location: Manchester, M1 3BN – office based Salary: circa 60k dependent on skills and experience + Benefits Full time Ciptex, a leader in bespoke cloud communication platforms, is seeking an experienced and inspiring Head of Customer Delivery to oversee the successful delivery of innovative software solutions while guiding and developing our talented technical team. In this...

Manchester

Lead Azure Data Engineer

Contract Opportunity: Lead Azure Data Engineer (Remote - 500/day Outside IR35) We're hiring for a Lead Azure Data Engineer to join our team on a hybrid contract based in London, supporting key finance stakeholders and transforming our data platform. This role offers the chance to shape the future of financial reporting through cutting-edge cloud engineering and data architecture. Location: Central...

London

Agile Delivery Manager

Agile Delivery Manager Location: Newport (Hybrid) Salary: £46,262 - £56,996 29% Pension The Opportunity Yolk Recruitment are excited to be working with an innovation-driven civil service organisation as they journey through an incredible digital transformation whilst prioritising forward thinking and excellent digital practices. Alongside this, they pride themselves on being a Stonewall Diversity Champion, which means they are part of...

Newport
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Careers Education

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

Edge computing has emerged as one of the most exciting technology trends of the past decade. By processing data closer to where it is generated — on devices, gateways, or local servers — it reduces latency, saves bandwidth, and enables faster decision-making. It’s what powers everything from autonomous vehicles to real-time healthcare monitoring, smart cities, and industrial IoT. In the UK and globally, demand for edge computing professionals is on the rise. Employers are looking for engineers, architects, and developers who can deploy applications on constrained devices, design resilient distributed systems, and integrate edge infrastructure with the cloud. But here’s the challenge: reading about edge computing won’t get you the job. Employers want to see proof that you’ve built, tested, and deployed at the edge — even if only in simulated environments. The good news? There are many free tools, open-source frameworks, and learning platforms that allow you to practise edge computing in 2025 without needing an enterprise-level budget. This guide covers the best free tools and platforms to practise edge computing skills, how to use them effectively, and how to build portfolio projects that impress recruiters.

Jobs

Top 10 Skills in Edge Computing According to LinkedIn & Indeed Job Postings

Edge computing is rapidly transforming how data is processed, analysed, and acted upon—right at the source. Across the UK, sectors such as IoT, manufacturing, autonomous vehicles, retail, and healthcare are deploying edge solutions to reduce latency, reduce network load, enhance reliability, and improve privacy. As organisations invest in decentralised architecture, demand for professionals who understand both hardware and software at the network’s edge is soaring. But what skills are employers prioritising in 2025? By analysing job postings from LinkedIn and Indeed, this article distils the Top 10 edge computing skills UK employers are seeking—and how you can showcase them on your CV, in interviews, and through hands-on proof-of-work.

Careers

The Future of Edge Computing Jobs: Careers That Don’t Exist Yet

Edge computing is fast becoming one of the most disruptive trends in digital technology. By moving data processing closer to where it is generated—on devices, sensors, and local servers—edge computing reduces latency, cuts bandwidth costs, and enables real-time decision-making. It powers everything from smart factories and self-driving cars to healthcare monitoring and augmented reality. In the UK, edge computing is increasingly important for critical industries: manufacturing, logistics, defence, and healthcare. As 5G networks expand and billions of Internet of Things (IoT) devices come online, edge solutions are being deployed nationwide. The UK government’s Digital Strategy and investment in smart infrastructure further highlight the role edge will play in national competitiveness. Yet we are only at the beginning. As edge converges with artificial intelligence, robotics, and quantum technologies, the jobs of tomorrow will look very different. Many of the most vital edge computing jobs of the next two decades don’t exist yet. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.

Jobs

Seasonal Hiring Peaks for Edge Computing Jobs: The Best Months to Apply & Why

The UK's edge computing sector has emerged as one of Europe's most dynamic and technically demanding technology markets, with roles spanning from junior edge systems engineers to principal edge architects and heads of distributed computing. With edge computing positions commanding salaries from £35,000 for graduate systems engineers to £150,000+ for senior principal architects, understanding when organisations actively recruit can dramatically accelerate your career progression in this cutting-edge and rapidly expanding field. Unlike traditional cloud computing roles, edge computing hiring follows distinct patterns influenced by IoT deployment cycles, 5G infrastructure rollouts, and distributed systems project timelines. The sector's unique combination of hardware-software integration, real-time processing requirements, and ultra-low latency demands creates predictable hiring windows that strategic professionals can leverage to advance their careers in building tomorrow's distributed computing infrastructure. This comprehensive guide explores the optimal timing for edge computing job applications in the UK, examining how enterprise IoT strategies, telecommunications infrastructure deployment, and Industry 4.0 initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering edge research team or miss the opportunity to develop the next generation of distributed computing systems.

Jobs

Pre-Employment Checks for Edge Computing Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in edge computing reflects the discipline's unique position at the intersection of distributed systems architecture, real-time processing, and critical infrastructure deployment. Edge computing professionals often have privileged access to mission-critical systems, industrial control networks, and sensitive operational data that form the backbone of autonomous systems and real-time decision-making capabilities. The edge computing industry operates within complex regulatory frameworks spanning cyber security directives, industrial safety standards, and emerging IoT governance regulations. Edge computing specialists must demonstrate not only technical competence in distributed architecture and low-latency systems but also deep understanding of operational technology security, industrial protocols, and the safety implications of real-time autonomous systems. Modern edge computing roles frequently involve managing industrial control systems, autonomous vehicle networks, smart city infrastructure, and critical operational systems across multiple security domains and regulatory frameworks simultaneously. The combination of system-level privileges, real-time control capabilities, and safety-critical responsibilities makes thorough candidate verification essential for maintaining security, operational continuity, and public safety in edge-deployed systems.

Careers

Why Now Is the Perfect Time to Launch Your Career in Edge Computing: The UK's Distributed Intelligence Revolution

The United Kingdom stands at the forefront of an edge computing revolution that's fundamentally transforming how we process data, deliver services, and interact with technology in real-time. From the 5G networks powering autonomous vehicles in Birmingham to the smart city sensors monitoring traffic in Manchester, Britain's transition to distributed computing architectures has created an unprecedented demand for skilled edge computing professionals that far exceeds the current talent supply. If you've been seeking a career at the cutting edge of technological innovation or looking to position yourself in one of the fastest-growing sectors of the digital economy, edge computing represents an extraordinary opportunity. The convergence of 5G deployment, Internet of Things expansion, artificial intelligence at the edge, and low-latency application requirements has created perfect conditions for edge computing career success.

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