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Featured Jobs

Technical Sales Manager

You will likeManaging embedded computing division fully remote in Midlands/North UK for an innovative engineering technology company renowned for solving challenging problems for blue-chip clients in the renewable energy, security, medical, transportation, aerospace and defence industries.You will likeThe Technical Sales Manager embedded computing job itself where you will be responsible for the business development of embedded products from technical design...

Ringway

Lead / Senior Software Engineer - ML/AI

Lead / Senior Software Engineer – ML/AISalary: £90,000 - £140,000 D.O.E.Location: United KingdomWorking Environment: Remote This is a unique opportunity to work alongside a global leader in the AV domain, at the intersection of media, AI, and edge computing. The company’s media players are trusted by organizations across a wide range of industries around the world for their flexibility, performance,...

Whitechapel

Business Development Manager

Business Development Manager / Sales Manager / Sales Engineer required to join a supplier of Industrial IT and computer based solutions including, embedded pcs, embedded computers, industrial computers, edge computing, computing hardware, IoT solutions, industrial networking, edge Connectivity, etc.The successful Business Development Manager / Sales Manager / Sales Engineer can be based anywhere in the UK and will have a...

Braunstone

Business Development Manager

Business Development Manager / Sales Manager / Sales Engineer required to join a supplier of Industrial IT and computer based solutions including, embedded pcs, embedded computers, industrial computers, edge computing, computing hardware, IoT solutions, industrial networking, edge Connectivity, etc.The successful Business Development Manager / Sales Manager / Sales Engineer can be based anywhere in the UK and will have a...

Caversham

Business Development Manager

Business Development Manager / Sales Manager / Sales Engineer required to join a supplier of Industrial IT and computer based solutions including, embedded pcs, embedded computers, industrial computers, edge computing, computing hardware, IoT solutions, industrial networking, edge Connectivity, etc.The successful Business Development Manager / Sales Manager / Sales Engineer can be based anywhere in the UK and will have a...

Salford

Sales Manager - Telecom Datacenter

Sales Manager - Telecom DatacenterHemel Hempstead (Hybrid with travel across UK & Ireland)Competitive salary + 10% KPI Bonus + 35 Days Holiday + Pension + Life Insurance + International TravelFantastic opportunity for a seasoned Sales Manager to join a leading international company, focusing on Telecom Infrastructure, Datacenter, and Power Solutions across the UK and Ireland.This organisation is a renowned provider...

Hemel Hempstead

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Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Quantum-Enhanced AI at the Edge: The Future of Decentralised Intelligence

As the modern world pushes towards instant data processing and real-time analytics, edge computing has emerged as a compelling solution. Instead of funnelling every piece of data to centralised data centres or the cloud, edge computing brings computation closer to the data source—reducing latency, lowering bandwidth costs, and enabling on-the-spot decision-making. From IoT sensors in smart cities to autonomous vehicles and remote industrial sites, the edge has quickly become a linchpin of digital transformation. Simultaneously, Artificial Intelligence (AI) has shown explosive growth, driving breakthroughs in natural language processing, computer vision, and advanced analytics. Cloud-based AI solutions have served organisations well, but in scenarios demanding ultra-low latency or local autonomy, the cloud’s round-trip time becomes a bottleneck. Hence, edge AI—embedding AI models at or near the point of data collection—promises a new wave of hyper-responsive applications and decentralised intelligence. Yet, as we continue pushing the boundaries of data volume, complexity, and speed, even advanced edge solutions sometimes struggle with the exponential computational requirements of AI. This is where quantum computing enters the picture, potentially offering new methods to tackle intractable problems in optimisation, high-dimensional data analysis, and machine learning. While quantum hardware remains in its early stages, the prospect of integrating quantum algorithms into AI workflows at the edge is generating significant excitement. In this article, we’ll explore: The current state and challenges of edge computing. A concise overview of quantum computing and why it matters. The concept of quantum-enhanced AI—especially in distributed or decentralised environments. Potential real-world applications at the intersection of quantum, AI, and edge computing. Key job roles and skill sets emerging in this new frontier. Considerations around security, ethics, and hardware constraints as we move towards quantum solutions at the edge. If you’re a professional in edge computing, an AI enthusiast, or simply curious about what the future of decentralised tech might look like, read on. The fusion of quantum computing and AI at the network edge could redefine how we collect, process, and learn from data in real time.

Edge Computing Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Edge computing has emerged as a revolutionary paradigm for processing data closer to where it’s generated—think IoT devices, sensors in remote locations, autonomous vehicles, and more. By reducing latency and bandwidth usage, edge computing enables real-time insights and responsive applications. In the UK, a growing ecosystem of innovators is capitalising on edge technology, buoyed by increased venture capital, academic prowess, and government-backed programmes that stimulate tech development. In this Q3 2025 Investment Tracker, we’ll explore newly funded UK start-ups blazing a trail in edge computing. We’ll also highlight the wealth of job opportunities these investments create for software engineers, DevOps specialists, data scientists, and other tech professionals looking to carve out a career at the cutting edge—pun fully intended.

Portfolio Projects That Get You Hired for Edge Computing Jobs (With Real GitHub Examples)

Edge computing is transforming how data is collected, processed, and acted upon—often in real time and close to where data is generated. From Internet of Things (IoT) devices to 5G networks and industrial automation, edge computing unlocks new possibilities for low-latency analytics, intelligent decision-making, and resource optimisation. With the proliferation of edge devices and the need for distributed computing architectures, demand for skilled edge computing professionals continues to rise. If you want to stand out in this exciting field, you need more than a great CV: you need a well-curated portfolio demonstrating your hands-on capabilities. This guide will show you how to build that portfolio, including: Why a dedicated edge computing portfolio is crucial. How to choose projects aligned with your target edge roles. Real GitHub examples that illustrate best practices. Actionable project ideas for edge deployments and data processing. Tips on presenting your portfolio so recruiters and hiring managers see your value instantly. When you’re ready, don’t forget to upload your CV on EdgeComputingJobs.co.uk so potential employers can find your newly polished portfolio. Let’s dive in!

Edge Computing Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

The concept of edge computing has emerged as a powerful paradigm in modern tech, shifting data processing and analytics closer to where data is generated—be it a sensor, a camera, or a mobile device. This reduction in latency, reliance on real‑time responses, and an emphasis on distributed intelligence differentiates edge solutions from centralised cloud setups. Whether it's powering autonomous vehicles, supporting Industrial IoT, or enhancing content delivery networks, edge computing is transforming how data is processed and served. If you're preparing for an edge computing job interview, expect a holistic assessment of your skills across embedded systems, networking, distributed computing, and data processing. Employers are eager to see if you can handle the unique constraints of edge environments, such as bandwidth limitations, computational resource scarcity, and security at the network's periphery. In this comprehensive guide, we'll walk you through 30 real coding & system‑design questions you might face during an edge computing interview. We'll also explore why these interviews matter, discuss strategies for success, and direct you to www.edgecomputingjobs.co.uk—a leading resource for finding the latest edge computing positions in the UK.

Negotiating Your Edge Computing Job Offer: Equity, Bonuses & Perks Explained

Edge computing has become a powerful paradigm shift in how businesses and organisations process data. Instead of relying solely on distant data centres or cloud platforms, edge computing brings processing power closer to the source—whether that’s an IoT sensor, a retail store’s point-of-sale system, or an autonomous vehicle. As a mid‑senior professional in this rapidly evolving field, you’re not just contributing to incremental infrastructure changes; you’re reshaping how data, services, and connectivity interplay at the very edges of networks. With such a high-impact role comes the potential for creative, multi-faceted compensation packages. In a competitive market, employers vying for top edge computing talent typically go beyond salary, offering equity, bonuses, and perks geared towards R&D or advanced technical leadership. Yet, many professionals overlook the potential of these additional components—either because they’re unsure how to negotiate them effectively or they simply underestimate their long-term value. This comprehensive guide walks you through the essential aspects of negotiating an edge computing job offer in the UK. From understanding different forms of equity to exploring performance-based bonuses and unique perks that support your role in pioneering next-gen infrastructure, you’ll learn how to secure a compensation package that truly reflects your expertise, impact, and future potential in this dynamic sector.

Edge Computing Jobs in the Public Sector: Opportunities in GDS, NHS, MOD, and Beyond

As the digital landscape continues to evolve, the amount of data generated by billions of devices—sensors, IoT endpoints, smartphones, and more—has grown exponentially. While cloud computing revolutionised how organisations store and process this data, edge computing is now emerging as the next frontier. By bringing computational power closer to the source of data, edge computing can significantly reduce latency, increase reliability, and offer real-time insights. Nowhere is this potential more impactful than in the public sector, where government bodies like the National Health Service (NHS), the Government Digital Service (GDS), and even the Ministry of Defence (MOD) manage massive data sets and provide critical services to millions of citizens. For tech professionals seeking to carve out a meaningful career, edge computing jobs in the public sector offer the chance to blend cutting-edge innovation with a tangible social impact. In this comprehensive guide, we’ll explore why edge computing is so vital to government services, the roles available, the skills you’ll need, and how you can position yourself to land one of these high-impact positions.

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