National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

AI Software Engineer

Heddon on the Wall
2 months ago
Applications closed

Related Jobs

View all jobs

Principal Software Engineer

Software Engineer

Machine Vision Internship – Paid AI Opportunity

Senior Embedded C/C++ Engineer | Dev Tools & AI | Permanent

Senior FPGA Engineer - Machine Learning

Senior Electrical Engineer

AI Software Engineer - Newcastle - Up to £60,000 + Bonus
Cutting-Edge AI & Computer Vision Software

KO2's client, an innovative and fast-growing technology company based in the Newcastle area, is looking to recruit an AI Software Engineer to develop next-generation computer vision systems for real-time applications. This is an exciting opportunity to join a highly skilled engineering team working on impactful AI solutions deployed in real-world environments.

Key Responsibilities:

Develop and implement advanced AI and machine learning models for computer vision applications.
Build and optimise real-time video processing pipelines using tools such as GStreamer and FFmpeg.
Train, validate, and refine AI models using best practices, with a focus on precision, recall, and other key performance metrics.
Write efficient, production-level code in Python and C++.
Evaluate and integrate state-of-the-art AI techniques to address complex computer vision challenges.Essential Requirements:

Bachelor's or Master's degree in Computer Science, Data Science, or a related technical discipline.
5+ years of hands-on experience working on computer vision problems and AI system development.
Strong programming skills in Python and C++.
Experience with real-time video pipelines, particularly GStreamer and FFmpeg.
Solid understanding of AI model training concepts (e.g., epochs, hyperparameters, training/validation datasets).
Demonstrated ability to apply the right computer vision techniques and critically evaluate their advantages.Desirable Skills:

Experience deploying AI software in edge computing environments, especially on Nvidia Jetson hardware.
Background in sectors such as automotive computer vision or other real-time, high-reliability fields.
Ability to design appropriate AI models based on a given problem statement and source data.What's on Offer:

A competitive salary up to £60,000 depending on experience.
A chance to work on cutting-edge AI projects with real-world applications.
Flexible and collaborative working environment, with hybrid or on-site options available.If you're ready to take the next step in your AI engineering career and want to work with a forward-thinking team delivering real innovation, apply today to KO2's client in Newcastle

National AI Awards 2025

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.

How to Present Edge Computing Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Edge computing is transforming how data is processed, analysed, and acted upon—bringing intelligence closer to the source. But despite its growing relevance across sectors like manufacturing, retail, healthcare, and transport, many decision-makers still don’t understand what edge computing is—let alone why it matters. As a job seeker in the edge computing space, your ability to explain this technology clearly is a crucial skill. Whether you're applying for a role in edge architecture, IoT development, 5G networks, or AI at the edge, you’ll likely be asked to present technical concepts to non-technical audiences during interviews or in the role itself. This guide will help you deliver compelling presentations that demystify edge computing—offering structure, visual design tips, storytelling strategies, and proven methods for answering tough stakeholder questions.

Edge Computing Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their edge‑computing teams. Private 5G roll‑outs, new MEC regions from hyperscale clouds, UK “Smart Manufacturing” tax breaks & a push for lower‑latency AI services have created a hiring surge in 2025. Employers need multi‑access‑edge platform engineers, 5G core specialists, IIoT solution architects, GPU edge‑AI developers & DevSecOps talent—right now. Below you’ll find 50 organisations that advertised UK‑based edge‑computing vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories. For each employer you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any company on EdgeComputingJobs.co.uk to view current ads, or set a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Edge Computing Career with Returnships, Flexible & Hybrid Roles

Stepping back into the professional world after a career break can be daunting—especially in an emerging field like edge computing. Whether you paused your journey for parenting, caring responsibilities or another life chapter, the UK’s edge computing sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the value of your transferable skills and life experience. With dedicated mentorship, targeted upskilling and supportive networks, you can confidently relaunch your edge computing career. In this guide, you’ll learn how to: Appreciate the growing demand for edge computing talent in the UK Translate your organisational, communication and problem-solving skills into edge roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to edge computing Find roles that accommodate family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to edge Draw inspiration from real returner success stories Get answers to common questions in our FAQ section Whether you’re aiming to return as an edge software engineer, IoT architect or systems integrator, this article will map out the steps and resources you need to reignite your edge computing career.