Computer Vision Engineer

Job DescriptionRole: Computer Vision Engineer x2Salary: £40-50k & £70-90k (senior)Location: Oxfordshire (Remote/Hybrid)We are really excited to partner with a super cool start-up that has recently achieved Series A funding and is on a rapid growth trajectory. Our client, a leading AI-driven technology company, is revolutionising industries through advanced computer vision and data analytics solutions. Join a team dedicated to enhancing safety, security, and efficiency across various sectors, including transport, healthcare, manufacturing, and education.Benefits:Share Option Plan for senior positionsTravel costs to office reimbursed25 days annual leaveFood & drink expenses covered by companyFree accommodation on campus if required Flexible working environmentRoles and Responsibilities:Develop and Implement Computer Vision Algorithms: Design, develop, and optimise computer vision algorithms to extract meaningful insights from visual data, enhancing the company’s AI-driven platform.Data Integration: Work with a variety of data sources, including CCTV cameras, IoT sensors, and third-party feeds, to aggregate and analyse real-time data.AI and Machine Learning Models: Train and fine-tune AI and machine learning models to improve the accuracy and efficiency of the platform’s anomaly detection and predictive analytics capabilities.System Integration: Collaborate with the engineering team to integrate computer vision solutions with existing systems and infrastructure, ensuring seamless functionality.Research and Innovation: Stay updated with the latest advancements in computer vision and AI technologies, applying innovative approaches to solve complex challenges.Performance Optimisation: Continuously monitor and enhance the performance of computer vision algorithms to ensure real-time processing and accuracy.Collaboration and Communication: Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust and scalable solutions.Testing and Validation: Conduct rigorous testing and validation of computer vision systems to maintain high standards of quality and reliability.Essential Skills and Qualifications:Educational Background: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field with a focus on computer vision, AI, or machine learning.Experience: Proven experience in developing and deploying computer vision solutions in a commercial setting.Programming Skills: Proficiency in programming languages such as Python, C++, and experience with computer vision libraries and frameworks like OpenCV, TensorFlow, or PyTorch.Algorithm Development: Strong skills in developing and optimising computer vision algorithms for object detection, tracking, segmentation, and classification.Machine Learning: Solid understanding of machine learning principles and experience in training and fine-tuning models for computer vision tasks.Data Handling: Experience working with large datasets and real-time data processing.Analytical Skills: Strong analytical and problem-solving skills, with the ability to think creatively and apply innovative solutions.Communication: Excellent communication skills, both written and verbal, with the ability to convey technical concepts to non-technical stakeholders.Team Player: Ability to work effectively in a collaborative, fast-paced start-up environment.If you are a visionary Computer Vision Engineer ready to drive innovation and make a real-world impact, we would love to hear from you. Send your CV to apply now to join this exciting journey!