Machine Learning Engineer

Hays Specialist Recruitment
Milton Keynes
2 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer (Forward Deployed)

Machine Learning Engineer

Machine Learning Engineer - £110k – £130k – Geospatial Tech 4 Good

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Your new company
This organisation is a long-established leader in smart mobility and intelligent transport solutions, with decades of innovation in traffic data, road safety, and network optimisation. It designs and delivers advanced technologies-from intelligent road-safety products to Real Time traffic monitoring and analytics-helping transport operators improve journey safety, reduce congestion, and support more sustainable travel. Its solutions empower customers with actionable insights that enhance how people move across transport networks, contributing to safer, greener and more efficient journeys.
Your new role
This is a fantastic opportunity to work in a dynamic, cross-functional team with an innovative and forward-thinking approach to problem-solving using modern cloud-native systems to create our products. You will have the opportunity to help shape and guide the development of the product that interacts with various real-world devices throughout the highway network.
The platform is built on top of a varied stack that allows it to communicate with real-world IoT devices across the UK and beyond, using multiple AWS services to allow for Real Time data capture, feeding a Back End service built in Laravel, that provides data to a React.js Front End application.
Our new computer vision products are built on the foundations of NVIDIA DeepStream and GStreamer using the NVIDIA ...

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.

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.

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.