About the job.
As part of the development of our Digital Services function, we are recruiting to strengthen our internal digital capability. These roles are central to building sustainable in-house expertise that supports the design, development, and delivery of digital solutions across the transport network.
A key focus of this campaign is creating new opportunities. As a result, we are recruiting a Principal Machine Learning Engineer to play a leading role in shaping the future of digital services across National Highways.
Our Digital Lab designs and manages innovative data products and services in-house, while building external partnerships and increasing adoption of our digital assets to improve customer journeys, support the Strategic Road Network, and enable emerging technologies such as connected and autonomous vehicles.
As Principal Machine Learning Engineer, you will lead the strategic direction, risk management, and continuous improvement of production AI/ML products and services that support critical business decision-making. Working closely with Digital Services teams and senior stakeholders, you will define and deliver machine learning strategies that maximise adoption and unlock value from our £69 billion data assets. You will ensure solutions are commercially sustainable, technically robust, and designed around user needs and experience.
This is a hybrid role based at any National Highways office location, with an expectation to attend the office for two days per week, including weekly travel to collaborate with the team
About you.
About us.
Here at National Highways, we manage and improve England’s motorways and major A roads, helping our customers have safer, smoother and more reliable journeys. Our priorities are safety, customers and delivery, and at the core of this, are our values of passion, integrity, safety, teamwork and ownership.
The Digital Services Directorate is helping to reshape the way National Highways operates by delivering digital, data, and technology services across all areas, from frontline to back office, in a modern and efficient manner. Our vision is to develop integrated information and technology that empowers our colleagues and provides real-time information to our customers, as well as integrating with intelligent vehicle and transport systems as they evolve, to enhance journey safety and reliability.
External candidates will be offered a starting salary at the lower end of the pay scale, while current employees will be appointed in accordance with our established pay policy.
We are committed to creating a diverse environment and welcome applicants from all backgrounds.