Principal AI Engineer (Face Recognition)
Remote - UK, UK
Permanent
£60-90k, fully remote
V-211705
Chris Wyatt
Machine Learning | Computer Vision
Principal AI Engineer
Fully remote from anywhere in the world, but you must have full working rights for where you reside
IC Resources is seeking a Principal AI Engineer to join our client’s innovative team developing advanced Edge AI solutions. This role offers an exciting opportunity to shape cutting-edge technologies in face recognition and computer vision for deployment on IoT edge devices. If you're a hands-on engineer with a strong leadership background and a passion for delivering impactful AI solutions, this could be the perfect next step for your career.
Primary Responsibilities:
If you’re an experienced Principal AI Engineer ready to take on a challenging and impactful role, apply now for immediate consideration! Contact Chris Wyatt, Principal Recruitment Consultant, to learn more about this exciting opportunity.
Apply now
Fully remote from anywhere in the world, but you must have full working rights for where you reside
IC Resources is seeking a Principal AI Engineer to join our client’s innovative team developing advanced Edge AI solutions. This role offers an exciting opportunity to shape cutting-edge technologies in face recognition and computer vision for deployment on IoT edge devices. If you're a hands-on engineer with a strong leadership background and a passion for delivering impactful AI solutions, this could be the perfect next step for your career.
Primary Responsibilities:
- Lead research and development of face recognition systems for Edge AI devices.
- Monitor and optimise the performance of existing AI products, offering expert insights for further enhancements.
- Stay updated on emerging trends and methodologies in Edge AI and deep learning to inform product development.
- Collaborate with stakeholders to design and develop robust AI solutions tailored to customer needs.
- Guide and mentor AI engineers, fostering capability growth within the team.
- Take ownership of MLOps processes, ensuring effective lifecycle management and automation.
- Degree in AI, Machine Learning, Computer Science, or a related field.
- Minimum 5+ years of experience in face recognition systems for Edge AI devices, including deployment.
- Proven expertise in designing, developing, and deploying deep learning models for IoT edge devices.
- Python, TensorFlow, Keras, PyTorch.
- Knowledge of MLOps, troubleshooting techniques, and performance benchmarking.
- Background in mathematics, information theory, and probability.
- Proficiency in C++ and experience with AWS.
- Familiarity with Agile product development processes.
- ~£60-90k or the EURO equivalent.
- Flexible working hours and fully remote arrangements.
If you’re an experienced Principal AI Engineer ready to take on a challenging and impactful role, apply now for immediate consideration! Contact Chris Wyatt, Principal Recruitment Consultant, to learn more about this exciting opportunity.
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