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Vivacity Labs

Junior Developer (Machine Learning) at Vivacity Labs

London · Full Time
We provide smart, hyper-local data for smart cities and intelligent transport systems. We are rolling out thousands of cameras across the UK, using cutting-edge machine learning techniques to provide real-time hyper-local transport data to councils and citizens. We're the kind of people who work because we love what we do and what we're aiming for - who love to have ideas and make them happen. Read More
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Job Description

VIVACITY
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.

THE ROLE
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.

TO QUALIFY
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.

BONUS EXPERIENCE
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!

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What We're Building

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.

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Vivacity Labs Team

Mark Nicholson
CEO of Vivacity. Tech-savvy commercial leader with experience in strategy consultancy (OC&C) & solar car racing. Cambridge 2012
Peter Mildon
Co-founded Vivacity Labs. Previously at Frazer Nash. Experienced Mechanical Engineering + Business Process Manager. Distinction from Cambridge University.
Fatma Akcay
Harvard CS 2016, experience in machine learning and IoT.
Maksis Knutins
Urban-focused full-stack developer
Federico Guglielmino
Internal Operations wiz kid at Viavcity Labs - Trilingual (English, Spanish, Italian) Anthro & Arts admin Grad with some accounting exams under my belt.
Tommi Määttä
Huge drive in image processing, computer vision and deep learning solutions. PhD studies on multi-camera networks. Balancing between R&D and production code.
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Vivacity Labs Investors