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

Apply Now

AI Software Engineer

Heddon on the Wall
6 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Staff Machine Learning Engineer - Autonomy

Machine Learning Engineer

Machine Learning Engineer - Evaluation

Senior Machine Learning Engineer, Scaling World Models

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

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.

Jobs

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.