AI Software Engineer

CV-Library
Heddon on the Wall, Northumberland
13 months ago
Applications closed

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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

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Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning 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.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.