Our clients R&D team is growing to meet the demand for the next generation of its hugely successful award-winning Traffic Data Management products. They are now looking for a talented Machine Learning Engineer to join their success and help strengthen the existing team.

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 their products. You will have the opportunity to help shape and guide the development of their product that interacts with various real-world devices throughout the highway network.

Their 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 their React.js frontend application. Their new computer vision products are built on the foundations of NVIDIA DeepStream and GStreamer using the NVIDIA Jetson hardware and developed in Python and C++.

They are looking for someone who is not only capable of producing high-quality code but who also enjoys working in a cross-functional team and contributing to their development processes. The ideal candidate would be forward-thinking and keen to be involved in decision-making, using their experience to help shape the future of our ML-based products.

As a Machine Learning Engineer, you will utilise your ML & Data Science knowledge to help evolve and improve their current and future ML-based products. You will work closely with hardware and software engineers to develop, maintain, and improve the computer vision products and their integration into their Insight platform.

The technology stack you will work with includes Linux, NVIDIA DeepStream, NVIDIA Jetson, Docker, Python, C++, GStreamer, PostgresSQL, Timescale DB, AWS Cloud, AWS SageMaker, and NoSQL(DynamoDB).

Qualifications & Experience

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 DeepStream and Jetson hardware
Practical experience developing ML pipelines and applications using Python or C++.
Strong understanding of Linux/Unix shell scriptingHighly Desirable

Use of Continuous Integration products (Jenkins)
Use of containerisation technologies Docker Stack / Kubernetes
AWS and AWS SageMaker experienceCircumstances of the Job

This full-time, permanent role enjoys a competitive basic salary. In addition, the company offers a contributory pension scheme (after the qualifying period) and 25 days annual leave (+8 days bank holiday). You may be required to attend other locations and visit customers/partners on occasion.

Candidates may be asked to provide work samples and references. To be considered for this job, you must have valid documentation to live and work in the UK.

What you need to do now

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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.

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