At a Glance
- Tasks: Lead innovative computer vision projects and architect cutting-edge AI solutions for defence.
- Company: Join a forward-thinking defence team focused on human-centred AI.
- Benefits: Flexible work options, competitive salary, and opportunities for professional growth.
- Other info: Opportunity to mentor others and shape the future of AI in defence.
- Why this job: Make a real impact in the defence sector with state-of-the-art technology.
- Qualifications: Deep understanding of computer vision and experience in leading technical teams.
The predicted salary is between 80000 - 100000 £ per year.
About the team
Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty.
Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on-site with these customers which may require travel to locations throughout the UK. When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK.
About the role
We are seeking a visionary Computer Vision (CV) Specialist to lead our most ambitious AI initiatives within the defence sector. Bridging the gap between cutting-edge research and real-world deployment, you will act as a primary technical authority, architecting sophisticated CV systems that solve critical customer challenges. This is an entrepreneurial opportunity to shape our technical strategy, drive capability development, and represent the business unit as a thought leader. If you thrive on autonomy and want to push the boundaries of applying State-of-the-Art (SOTA) technology, this role offers the platform to make a definitive impact.
What you'll be doing:
- Delivering high impact, hands-on computer vision work and architecting technical solutions for complex project requirements.
- Leading the technical delivery of CV projects and providing expert guidance to multidisciplinary teams throughout the development lifecycle.
- Winning new business by contributing expert CV insight to bids and identifying opportunities to integrate advanced visual intelligence into customer solutions.
- Staying at the forefront of the field by mastering SOTA developments and sharing best practices across the business unit to maintain a competitive edge.
- Representing the organisation both internally and externally as an authoritative voice and subject matter expert in computer vision.
- Partnering with leadership to define the technical strategy for CV work and taking ownership of capability development within the Defence domain.
- Mentoring and developing talented team members who share an interest in CV, fostering an environment of continuous learning and technical excellence.
Who we're looking for:
- You possess a deep understanding of State-of-the-Art Computer Vision AI approaches and feel confident applying both machine learning and classical computer vision techniques to real-world problems.
- You are an experienced technical leader who enjoys the challenge of guiding teams and turning real world problems into architecting system architectures with minimal oversight.
- You have a proven track record of deploying CV models into production environments and navigating the practicalities of real-world deployment, performance and latency.
- You bring a collaborative and entrepreneurial mindset, with the ability to communicate technical concepts effectively to both specialist colleagues and non-technical clients.
- Your background includes meaningful experience in Python, including object-oriented programming, and you are comfortable exploring low-level components when necessary.
- You are passionate about capability building, whether through developing R&D accelerators or helping others sharpen their technical skills through mentorship.
Lead Computer Vision Engineer employer: Gravity Engineering Services Pvt Ltd.
As a leading employer in the defence sector, we offer a dynamic work environment that fosters innovation and collaboration. Our commitment to ethical AI solutions not only empowers our employees to make a meaningful impact but also provides ample opportunities for professional growth and mentorship. With the flexibility to work remotely and a culture that values autonomy and technical excellence, joining our team means being at the forefront of cutting-edge technology while contributing to national security.
Contact Details:
Gravity Engineering Services Pvt Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Computer Vision Engineer
✨Network Like a Pro
Get out there and connect with folks in the defence and AI sectors. Attend meetups, conferences, or even online webinars. The more people you know, the better your chances of landing that dream role!
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio or GitHub repository with your projects, especially those related to computer vision. This gives potential employers a taste of what you can do.
✨Ace the Interview
Prepare for technical interviews by brushing up on your CV knowledge and problem-solving skills. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Our Website
We’ve got some amazing opportunities waiting for you! Make sure to apply through our website for the best chance at landing a role with us. We’re excited to see what you bring to the table!
We think you need these skills to ace Lead Computer Vision Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Computer Vision Engineer role. Highlight your experience with State-of-the-Art computer vision techniques and any relevant projects you've led. We want to see how your skills align with our mission in the defence sector!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about computer vision and how you can contribute to our Defence team. Be sure to mention any experience with ethical AI solutions, as that’s a big part of what we do.
Showcase Your Technical Expertise:In your application, don’t shy away from showcasing your technical skills. Mention specific programming languages like Python and any hands-on experience with deploying CV models. We love seeing candidates who can bridge the gap between research and real-world applications!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and let us know why you’d be a great fit!
How to prepare for a job interview at Gravity Engineering Services Pvt Ltd.
✨Know Your CV Inside Out
Make sure you can discuss your experience with computer vision in detail. Be prepared to explain how you've applied both machine learning and classical techniques to solve real-world problems. This will show your depth of knowledge and confidence in the subject.
✨Showcase Your Leadership Skills
As a Lead Computer Vision Engineer, you'll need to demonstrate your ability to guide teams effectively. Prepare examples of past projects where you led a team or mentored others, highlighting how you navigated challenges and achieved successful outcomes.
✨Stay Updated on SOTA Developments
Familiarise yourself with the latest trends and advancements in computer vision. Be ready to discuss recent breakthroughs and how they could be applied within the defence sector. This shows your commitment to staying at the forefront of the field.
✨Communicate Clearly and Confidently
Practice explaining complex technical concepts in simple terms. You'll likely encounter non-technical clients, so being able to bridge that gap is crucial. Use clear examples to illustrate your points during the interview.