Vivacity are revolutionising road transport, introducing digital transport infrastructure to improve operation of traffic signals, traffic management, and ultimately autonomous vehicles. We create intelligent cameras with on-board video analytic capabilities, gathering real-time information to quantify the movement of pedestrians, vehicles and cyclists. Currently rolling out thousands of cameras across the UK, with backing from both industry leaders & top VC firms, we are seeking more developers to join our world class team.
Joining as a Junior Developer you will be expected to show initiative while receiving significant support from current team members. You will carry out research into new approaches and algorithms; implement, iterate & improve on the latest technologies; and integrate machine learning with device management and backhaul capabilities. In all of these tasks, it will be your strong coding background and proven aptitude for picking up new technologies and frameworks in a commercial environment which will enable you to thrive in this position.
You should be a developer with:
• Some programming experience e.g. 1+ year of commercial development experience, Computer Science degree or similar, significant open source contributions
• Proven ability to rapidly pick up new technologies, frameworks and skills;
• Ability to thrive in a fast paced, entrepreneurial environment;
• Strong collaborative and interpersonal skills;
• The ambition and enthusiasm to drive the company forward.
A Masters in Machine Learning or prior experience in the sector would be a significant bonus - but is not strictly required. We would also value experience with Bash & Linux systems management/devops; Agile development methodologies (particularly Scrum); and Continuous Integration, Testing and Deployment.
We offer significant equity options, extremely flexible working policies and the opportunity to shape the future of a rapidly-growing startup. Please get in touch!
We are implementing transport-focused smart cities, using cameras with on-board machine learning in order to quantify movement of pedestrians, vehicles and cyclists, and then building advanced predictive AI systems around this data.
Our main customers are local governments, infrastructure owners and transport providers. Real-time data from a network of video feeds enable them to react to demand, improve safety and improve the utilisation of their assets; and prediction gives them the foresight to pre-empt problems in their network, rather than simply reacting.
Our systems use the latest machine learning and computer vision techniques, run on bespoke, low-cost, easy-to-install hardware. All the edge intelligence is in the software, enabling remote updating and reducing hardware obsolescence and cost.