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- Tasks: Develop cutting-edge AI and computer vision algorithms for missile and sensor systems.
- Company: Join a leading defence client focused on innovative technology advancements.
- Benefits: Enjoy flexible working, annual bonuses, and generous parental leave.
- Why this job: Be at the forefront of defence technology and work with multidisciplinary teams.
- Qualifications: PhD or in progress in Computer Science, Physics, Engineering, or Mathematics preferred.
- Other info: Opportunities for paid overtime and excellent on-site facilities.
The predicted salary is between 39000 - 91000 £ per year.
Job Title: Computer Vision and AI Engineer
Location: Bristol
Salary: Up to £65,000 DOE
Contract: Permanent
Role Overview – Computer Vision and AI Engineer
We are partnering with one of our leading defence clients to find a highly skilled Computer Vision and AI Engineer. In this exciting role, you will be at the forefront of developing cutting-edge algorithms and technologies that enhance the next generation of missile and sensor systems. Your work will involve creating innovative AI and computer vision solutions that provide superior situational awareness and precision targeting. This is an excellent opportunity to join a growing team and contribute to the advancement of defence technology.
What We Offer – Computer Vision and AI Engineer
- Annual Bonus: Up to £2,500 (subject to company performance)
- Pension Scheme: Employer and employee contributions up to 14%
- Overtime: Paid overtime opportunities
- Additional Leave: Up to 15 flexi-days per year
- Flexible Working: We support various work-life balance needs
- Enhanced Parental Leave: Generous maternity, adoption, shared parental leave, and additional support for paternity, neonatal, and fertility-related matters
- On-site Facilities: Subsidised meals, free parking, and excellent amenities
Role Responsibilities – Computer Vision and AI Engineer
- Develop and implement computer vision and AI algorithms for missile and sensor systems
- Create solutions that improve situational awareness and provide target guidance using imaging sensors
- Design and develop algorithms for image processing, including techniques like segmentation, noise reduction, and super-resolution
- Use Matlab/Simulink and Python (including PyTorch for deep learning) to build, test, and refine algorithms
- Apply advanced techniques in tracking, optical flow, particle filtering, and pose estimation
- Contribute to the development of inverse problems/computational imaging methods such as sparse coding and compressive sensing
- Implement and optimize machine learning models, including support vector machines and neural networks
- Collaborate with multidisciplinary teams to integrate algorithms into complex defence systems
- Support signal processing tasks related to multi/hyper-spectral, RF, IR, SAR, and STAP technologies
- Conduct rigorous testing and validation of algorithms to ensure performance in operational environments
Key Experience & Qualifications – Computer Vision and AI Engineer
- A PhD (or in the process of completing one) in Computer Science, Physics, Engineering, Mathematics, or a related field is preferred.
- A degree with strong mathematical content e.g. Mathematics, Engineering (e.g. Aeronautical, Mechanical, etc), Physics, Computer Science, or similar
- Knowledge of a range if algorithms, techniques and processes.
Omega Resource Group is an employment agency specialising in opportunities at all levels within the Engineering, Aerospace, Automotive, Electronics, Defence, Scientific, Oil & Gas, Construction and Manufacturing sectors.
For more information on this role, please contact Ben Dawson on 01453 829522 or send copy of your CV to
For details of other opportunities available within your chosen field please visit our website Title: Computer Vision and AI Engineer
Location: Bristol
Salary: Up to £65,000 DOE
Contract: Permanent
Role Overview – Computer Vision and AI Engineer
We are partnering with one of our leading defence clients to find a highly skilled Computer Vision and AI Engineer. In this exciting role, you will be at the forefront of developing cutting-edge algorithms and technologies that enhance the next generation of missile and sensor systems. Your work will involve creating innovative AI and computer vision solutions that provide superior situational awareness and precision targeting. This is an excellent opportunity to join a growing team and contribute to the advancement of defence technology.
What We Offer – Computer Vision and AI Engineer
- Annual Bonus: Up to £2,500 (subject to company performance)
- Pension Scheme: Employer and employee contributions up to 14%
- Overtime: Paid overtime opportunities
- Additional Leave: Up to 15 flexi-days per year
- Flexible Working: We support various work-life balance needs
- Enhanced Parental Leave: Generous maternity, adoption, shared parental leave, and additional support for paternity, neonatal, and fertility-related matters
- On-site Facilities: Subsidised meals, free parking, and excellent amenities
Role Responsibilities – Computer Vision and AI Engineer
- Develop and implement computer vision and AI algorithms for missile and sensor systems
- Create solutions that improve situational awareness and provide target guidance using imaging sensors
- Design and develop algorithms for image processing, including techniques like segmentation, noise reduction, and super-resolution
- Use Matlab/Simulink and Python (including PyTorch for deep learning) to build, test, and refine algorithms
- Apply advanced techniques in tracking, optical flow, particle filtering, and pose estimation
- Contribute to the development of inverse problems/computational imaging methods such as sparse coding and compressive sensing
- Implement and optimize machine learning models, including support vector machines and neural networks
- Collaborate with multidisciplinary teams to integrate algorithms into complex defence systems
- Support signal processing tasks related to multi/hyper-spectral, RF, IR, SAR, and STAP technologies
- Conduct rigorous testing and validation of algorithms to ensure performance in operational environments
Key Experience & Qualifications – Computer Vision and AI Engineer
- A PhD (or in the process of completing one) in Computer Science, Physics, Engineering, Mathematics, or a related field is preferred.
- A degree with strong mathematical content e.g. Mathematics, Engineering (e.g. Aeronautical, Mechanical, etc), Physics, Computer Science, or similar
- Knowledge of a range if algorithms, techniques and processes.
Omega Resource Group is an employment agency specialising in opportunities at all levels within the Engineering, Aerospace, Automotive, Electronics, Defence, Scientific, Oil & Gas, Construction and Manufacturing sectors.
For more information on this role, please contact Ben Dawson on 01453 829522 or send copy of your CV to
For details of other opportunities available within your chosen field please visit our website
Computer Vision and AI Engineer employer: Omega
Contact Detail:
Omega Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision and AI Engineer
✨Tip Number 1
Familiarize yourself with the latest advancements in computer vision and AI technologies, especially those related to missile and sensor systems. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Engage with online communities and forums focused on computer vision and AI. Networking with professionals in the field can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 3
Prepare to discuss specific algorithms and techniques you've worked with, particularly in image processing and machine learning. Being able to articulate your hands-on experience will set you apart from other candidates.
✨Tip Number 4
Consider contributing to open-source projects or creating your own projects that showcase your skills in Python, Matlab/Simulink, and deep learning frameworks like PyTorch. This practical experience can be a great talking point during interviews.
We think you need these skills to ace Computer Vision and AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in computer vision and AI. Focus on projects where you've developed algorithms or worked with imaging sensors, and include specific technologies like Matlab, Python, and PyTorch.
Craft a Strong Cover Letter: In your cover letter, express your passion for defence technology and how your skills align with the role. Mention any relevant academic achievements, such as your PhD or ongoing studies, and how they relate to the job responsibilities.
Showcase Technical Skills: Clearly list your technical skills related to the job description, such as experience with machine learning models, image processing techniques, and algorithm development. Use specific examples to demonstrate your expertise.
Highlight Team Collaboration: Since the role involves working with multidisciplinary teams, emphasize your experience in collaborative projects. Describe how you contributed to team success and integrated algorithms into complex systems.
How to prepare for a job interview at Omega
✨Showcase Your Technical Skills
Be prepared to discuss your experience with computer vision and AI algorithms in detail. Highlight specific projects where you've implemented techniques like segmentation, noise reduction, or super-resolution, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Problem-Solving Abilities
During the interview, expect to tackle hypothetical scenarios related to missile and sensor systems. Practice articulating your thought process and approach to solving complex problems, especially those involving tracking, optical flow, or pose estimation.
✨Familiarize Yourself with Relevant Tools
Make sure you are comfortable discussing your proficiency in tools like Matlab/Simulink and Python, particularly with libraries such as PyTorch for deep learning. Be ready to provide examples of how you've used these tools in past projects.
✨Highlight Collaboration Experience
Since this role involves working with multidisciplinary teams, share examples of how you've successfully collaborated with others in previous roles. Emphasize your communication skills and ability to integrate algorithms into complex systems.
