Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team in developing and deploying cutting-edge Computer Vision models.
- Company: Dynamic visual AI company with a strong market reputation.
- Benefits: Competitive salary, remote work flexibility, and opportunities for professional growth.
- Other info: Exciting opportunity to shape the future of AI in a collaborative environment.
- Why this job: Join a forward-thinking team and make a real impact in the AI space.
- 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.
Computer Vision Engineer in Oxford employer: NearTech Search
Contact Detail:
NearTech Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Engineer in Oxford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Computer Vision. This gives you a chance to demonstrate your expertise and passion, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and leadership questions. Since this role involves managing a team, be ready to discuss your approach to leadership and how you’d handle various scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Computer Vision Engineer in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Computer Vision Engineer role. Highlight relevant experience and skills that match the job description, especially your hands-on expertise in Computer Vision and any leadership roles you've held.
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. Mention your passion for AI/ML and how you can contribute to the team’s success while also showcasing your leadership style.
Showcase Your Projects: If you've worked on any projects related to Computer Vision, make sure to include them in your application. Whether it's a personal project or something from a previous job, real-world examples can really set you apart from other candidates.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates regarding your application status.
How to prepare for a job interview at NearTech Search
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in Computer Vision. Be ready to discuss your hands-on experience with AI production pipelines and how you've tackled real-world constraints like latency and resource limitations.
✨Show Leadership Skills
Since this role 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.
✨Understand the Business Impact
It's crucial to demonstrate how your technical work translates into commercial outcomes. Think of specific instances where your projects have positively impacted business goals and be ready to discuss them.
✨Prepare for Remote Collaboration
As you'll be working remotely with teams across the UK and EU, highlight your experience with remote collaboration tools and practices. Discuss how you ensure effective communication and maintain team cohesion in a remote setting.