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 backend service built in Laravel, that provides data to a React.js

frontend application. Our new computer vision products are built on the foundations of NVIDIA Deep Stream and GStreamer using the NVIDIA Jetson hardware and developed in Python and C++. The technology stack you will work with includes Linux, NVIDIA Deep Stream, NVIDIA Jetson, Docker, Python, C++, GStreamer, Postgres

SQL, Timescale DB, AWS Cloud, AWS Sage Maker, and No

SQL(Dynamo

DB). What you'll need to succeed You will have strong knowledge and understanding of ML/Data Science concepts, processes, statistical modelling, data and model pipelining and ML algorithms. You will also have commercial experience in delivering customer-facing products to the market that utilise computer vision and machine learning. Ideally, you will also have experience with continuous retraining tools in CI/CD processes for object detection, classification and tracking within computer vision pipelines.

You will also be open to learning new technologies, including web technologies, to help integrate AI and data visualisation capabilities into our existing platform. Essential 5 years of experience working within ML/Data science development Experience using NVIDIA Deep Stream and Jetson hardware Practical experience developing ML pipelines and applications using Python or C++. Strong understanding of Linux/Unix shell scripting Highly Desirable Use of Continuous Integration products (Jenkins) Use of containerisation technologies Docker Stack / Kubernetes AWS and AWS Sage Maker experience What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays EA is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at