Computer Vision Engineer
4 weeks ago
Role: Computer Vision Engineer
Salary: 60-80k
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:
- Travel costs to office reimbursed
- 25 days annual leave + bank
- Food & drink expenses covered by company
- Free accommodation onsite
- Flexible working environment
- Pension
- BUPA Health & Dental Plan
- Annual pay review
Roles 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
BeTechnology Group Limited is acting as an Employment Agency in relation to this vacancy.
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