Computer Vision Engineer
9 Days Old
Job Title: Computer Vision Engineer
Location: Tunbridge Wells - Hybrid
About us:
VisionTrack is a multiple award-winning IoT, high-throughput/big data insurance telematics & video solution provider.
Role:
We are seeking developers with experience in computer vision applications to join our agile development teams. The role involves working across all areas of our solutions, with a focus on computer vision applications deployed on our Autonomise cloud platform. Knowledge of Agile/DevOps practices, including SCRUM, Continuous Integration & Delivery, and a commitment to best practices are essential.
Essential Skills:
- .NET technologies:
- C#
- Mvc (Framework and/or Core)
- WebApi
- SignalR
- Python programming experience
- Experience with Convolution Neural Networks (CNNs) for machine vision and image analysis
- Experience handling large-scale data sets
- Experience with open-source machine learning platforms such as Keras, TensorFlow, or PyTorch
- Ability to develop using rapid prototyping techniques in a fast-paced environment
- Familiarity with Agile/DevOps practices:
- SCRUM
- Continuous Integration & Delivery
Desired Skills:
- Azure cloud services:
- Azure Functions / Serverless Architecture / Microservices
- SQL Databases
- EventHub
- Redis
- Cosmos DB or other NoSQL databases
- Automation with PowerShell / ARM templates
- Application Insights
- Azure Search
- Resiliency strategies: Availability Sets, Zones, Regions (e.g., Paris)
- IOT experience
- DevOps CI/CD best practices and automation-first approach
- Tools like TeamCity, Octopus Deploy
- Version control with Git, including GitFlow and Pull Requests
- Front-end technologies: ReactJs, Jest, ESLint, Sinon, NPM, Webpack
- Working with geospatial data
- Azure Big Data technologies: Data Lake, SQL Data Warehouse, Azure Databricks
- Media decoding expertise
- Academic background in a scientific or technical discipline with formal computer vision/machine learning coursework
- Location:
- England, United Kingdom
- Salary:
- £60,000 - £80,000
- Job Type:
- FullTime
- Category:
- Engineering