Computer Vision Engineer

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 healthcare, manufacturing, and education, transport.

Benefits:

• Travel costs to office reimbursed
• 25 days annual leave + bank
• Food & drink provided onsite
• 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 asPython, C++, and experience with computer vision libraries and frameworks likeOpenCV, TensorFlow, or PyTorch.
• Algorithm Development: Strong skills in developing and optimising computer vision algorithms forobject 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!