AI Software Engineer

Heddon on the Wall
8 months ago
Applications closed

Related Jobs

View all jobs

AI Lead, AI Engineer Lead, Generative AI Engineer, Machine Learning Engineer, AI Platform Engineer, NLP Engineer, Applied AI Engineer, AI Integration Specialist, AI Software Engineer, AI Systems Architect, AI Engineer, AI Development Lead,

Machine Learning Data Engineer Obstetric Ultrasound

Software Engineer - AI MLOps Oxford, England, United Kingdom

Software Engineer (AI & Machine Learning Focus)

Data Scientist

GenAI Software Engineer/Data Scientist

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.

Education Jobs

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Jobs

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

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.

🍪 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.