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- Tasks: Lead a team in developing and deploying cutting-edge Computer Vision models.
- Company: Dynamic visual AI firm with a strong market reputation.
- Benefits: Competitive salary, remote work flexibility, and career growth opportunities.
- Other info: Exciting opportunity to shape the future of AI in a collaborative environment.
- Why this job: Join a forward-thinking company and make a real impact in AI technology.
- Qualifications: Proven experience in Computer Vision and team leadership skills.
The predicted salary is between 100000 - 120000 £ per year.
A repeat client within the visual AI space are once again hiring thanks to growth and continued investment and are looking for a Computer Vision Team Lead to join their engineering squad. Due to the firm's size, you'll be reporting into both UK and EU-based individuals (CET so +1 hour of time difference) and working predominantly remotely from the UK. They're looking for someone who will take ownership of the e2e AI lifecycle all the way from data ingestion to having live production-ready models within their global client base. It's a genuinely exciting time to join quite a dynamic and forward-thinking client who have made a good name for themselves and who have an excellent reputation on the market.
The Role
This is a dual mandate position: you are both the technical authority and the people leader for the AI/ML function. You'll have significant autonomy to structure the team, define ways of working, and set the engineering standards. On the leadership side, you'll be managing and growing a team of AI/ML engineers across the UK and EU. That means hands-on line management, regular 1:1s, performance development, and direct involvement in hiring. Building the team is part of the job as is acting as the strategic bridge between AI research, core engineering, and product, ensuring technical work translates into commercial outcomes.
On the technical side, you'll own the full AI production pipeline: automated data collection, data organisation and labelling strategy, scalable training workflows, and ultimately deployment of production-grade Computer Vision models under real-world constraints: latency, resource limitations, and high reliability standards across diverse client environments. This is not a research-only or experimentation role; the emphasis is firmly on production delivery at scale.
Technical Requirements
- Deep hands-on expertise in Computer Vision - object detection, segmentation, tracking...
Senior computer engineer in Wolverhampton employer: NearTech Search
Contact Detail:
NearTech Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior computer engineer in Wolverhampton
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and computer vision space. Attend virtual meetups or webinars, and don’t be shy about introducing yourself. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in computer vision. Whether it’s GitHub repos or case studies, having tangible evidence of your expertise can really set you apart when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Research common questions for leadership roles in AI/ML and practice your responses. Be ready to discuss how you’d manage a team and tackle real-world challenges in production delivery.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior computer engineer in Wolverhampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Computer Vision Team Lead. Highlight your experience in managing teams and your technical expertise in AI/ML, especially in computer vision. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your leadership style and technical achievements. We love seeing your personality come through!
Showcase Your Projects: If you've worked on relevant projects, make sure to mention them! Whether it's a successful deployment of a computer vision model or leading a team through a challenging project, we want to hear about it. This helps us understand your hands-on experience.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team at StudySmarter!
How to prepare for a job interview at NearTech Search
✨Know Your Stuff
Make sure you brush up on your computer vision knowledge, especially around object detection, segmentation, and tracking. Be ready to discuss your hands-on experience with the full AI production pipeline, as this role demands a solid understanding of both technical and practical applications.
✨Show Leadership Skills
Since this position involves managing a team, be prepared to share examples of your leadership style. Talk about how you've successfully led teams in the past, handled performance development, and contributed to hiring processes. Highlight your ability to bridge technical work with commercial outcomes.
✨Understand Their Business
Research the company’s reputation in the visual AI space and understand their client base. Knowing how your role can impact their business will show that you're not just technically proficient but also commercially aware. This insight can set you apart from other candidates.
✨Prepare for Remote Collaboration
Since the role is remote-first and involves working across different time zones, be ready to discuss your experience with remote teamwork. Share strategies you've used to maintain effective communication and collaboration with teams in different locations, especially in the UK and EU.