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Senior Software Developer
Senior Software Developer (IoT / Cloud)Burnley + Flexible Work from HomeUp to £70,000 + BenefitsKO2's client are looking for an experienced Senior Software Developer to play a key role in designing and building scalable, cloud-native systems that power connected IoT devices.This is an exciting opportunity to work at the intersection of hardware and software-developing backend services that enable secure device...
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Solution Architect/ AI Manager
The Solution Architect & AI Manager will bridge the gap between complex data architecture and cutting-edge AI implementation. You will be responsible for the strategic delivery of the AIPX framework within the Balance Sheet Management (BSM) domain, ensuring that AI-driven insights are built on a foundation of robust, scalable, and high-performance engineering.Key Responsibilities:Lead cross-functional engineering teams to design, build, and...
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Senior Software Engineer
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AI Engineer
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Rerooters Limited t/a Certus Recruitment
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Chief Technology Officer
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The Portfolio Group
Castle Baynard
AI Software Developer
AI Software DeveloperCirencester – car required£55,000 – £75,000 per annum DOEPermanent, Full-time (37.5 hours per week)Core hours 10:30-3:30pm – 37 hour weekDo you want to shape cutting-edge AI products that are used in real-world applications?This is an exciting opportunity to join a growing and forward-thinking software business at the forefront of AI innovation. Working within a collaborative, high-trust team, you...
Advertising edge computing jobs in the UK requires a different approach to most technical hiring. Edge computing sits at the intersection of embedded systems, networking, cloud infrastructure and real-time data processing — and the professionals who specialise in it are a small, highly technical community not well served by general job boards. Candidates with genuine edge and IoT expertise are rarely browsing general platforms, and roles in this space are frequently misunderstood or miscategorised by non-specialist recruiters.
This guide, published by EdgeComputingJobs.co.uk, covers where to advertise edge computing roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.
Edge computing is transforming how data is processed by bringing compute power closer to the source of generation. With the proliferation of Internet of Things (IoT), real‑time analytics, autonomous systems, and latency‑sensitive applications, edge computing has moved from a niche discipline to a core component of digital infrastructure.
In 2026, organisations that specialise in or heavily invest in edge computing are expanding their teams to build distributed systems, real‑time analytics platforms, and edge‑optimised AI. For professionals exploring opportunities on www.EdgeComputingJobs.co.uk
, understanding which employers are growing, winning contracts, or securing investment is essential.
This article highlights the new and high‑growth edge computing employers to watch in 2026, including UK startups, international innovators with a UK presence, and established companies shifting strategy toward edge.
If you’re trying to start or grow a career in edge computing, it can feel like you’re navigating a maze of tools, frameworks and platforms — Kubernetes, Docker, IoT frameworks, AWS Greengrass, Azure IoT Edge, OpenShift, TinyML toolkits, networking orchestration, real-time streaming frameworks, and on it goes.
Scroll job boards and community forums and it’s easy to conclude that unless you master every buzzword imaginable, you’ll never get a job.
Here’s the honest truth most edge computing hiring managers won’t necessarily say out loud:
👉 They don’t hire you because you know every edge computing tool — they hire you because you can solve real system problems using the tools you know.
Tools matter, yes — but only when they support clear outcomes: reliable systems, performance at scale, secure edge deployments and real business value.
So how many edge computing tools do you actually need to know to secure a job? For most edge computing roles, the answer is fewer than you think — and a lot clearer when sorted by fundamentals and roles.
This guide shows you what matters, what doesn’t, and how to focus your time wisely so you come across as capable, confident and employable.
In today’s fast-evolving tech landscape, edge computing is one of the most sought-after fields — blending distributed systems, embedded systems, networking, cloud, IoT, data and real-time processing. But that also means hiring managers are highly selective. They scan applications fast and look for signals of relevance, impact, technical depth and real-world delivery long before they read every line.
This guide demystifies what hiring managers in edge computing look for first in your application — so you can tailor your CV, portfolio and cover letter to jump out of the stack. Whether you’re targeting edge systems roles, embedded IoT edge jobs, edge-native data roles, edge platform engineering or edge-AI positions, this checklist will help you position your experience in a way hiring managers can trust immediately.
Edge computing is rapidly moving from niche concept to critical infrastructure. As organisations deploy connected devices, sensors, autonomous systems and real-time analytics, processing data closer to where it is generated has become essential.
From smart cities and manufacturing to healthcare, transport, defence and telecommunications, edge computing underpins systems where latency, reliability and resilience matter. Demand for edge computing skills across the UK is rising steadily — yet employers consistently report difficulty finding candidates who are genuinely job-ready.
Despite growing interest and academic coverage, universities are not fully preparing graduates for real edge computing jobs.
This article explores the edge computing skills gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build sustainable careers in edge computing.
Edge computing is rapidly becoming a cornerstone of digital transformation across the UK — powering real-time systems in healthcare, manufacturing, retail, telecoms & smart cities. But with slick hype and futuristic terms such as “5G at the edge” and “real-time AI inference”, it’s easy to be misled about what edge computing jobs actually look like and how accessible they are to mid-career professionals.
This guide gives you the practical UK reality check if you’re considering a pivot into edge computing in your 30s, 40s or 50s: what roles are genuinely available, what skills employers truly value, how long retraining realistically takes and how to position your existing experience for success. If you want facts over buzzwords, you’re in the right place.
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