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 team growth.
- Other info: Exciting opportunity for career advancement in a collaborative environment.
- Why this job: Join a forward-thinking team and make a real impact in AI technology.
- Qualifications: Proven experience in Computer Vision and team leadership.
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 end-to-end 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, and transformer-based architectures
- Strong Python and C++ - comfortable at the systems level optimising pipelines for throughput and latency
- Proven track record delivering ML/CV systems into production at significant scale - you've ideally broken / seen things break and you know how to build them to last
- Experience designing and managing end-to-end ML pipelines from raw data through to deployed model
Leadership Requirements
- Previous experience managing or leading a team of engineers - this is a non-negotiable for this position.
- Experienced hiring and assessing Computer Vision talent as well as being a natural mentor who takes the development of their team seriously
- Able to set and enforce standards around code quality, MLOps, and delivery without micromanaging
- Comfortable operating across time zones and working with distributed, international teams
To summarise: If you're a senior CV/ML engineer who has grown into leadership and wants a role where both dimensions are genuinely valued and importantly, where you have the autonomy to build something properly then this could be worth a conversation.
Please note this role cannot offer visa sponsorship.
Computer Vision Engineer in Plymouth employer: NearTech Search
As a Computer Vision Team Lead at this innovative visual AI firm, you'll thrive in a remote-first environment that champions autonomy and growth. The company fosters a collaborative culture where your leadership will directly influence the development of cutting-edge AI solutions, while also providing ample opportunities for professional advancement within a dynamic team. With a strong reputation in the market and a commitment to employee development, this role offers a unique chance to make a significant impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Computer Vision Engineer in Plymouth
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and Computer Vision space. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Computer Vision. Share your GitHub or any relevant work during interviews to demonstrate your hands-on experience and technical prowess.
✨Tip Number 3
Prepare for the interview by brushing up on both technical and leadership questions. Be ready to discuss your experience with end-to-end ML pipelines and how you've managed teams. We want to see your passion for mentoring and developing talent!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that Computer Vision Team Lead role!
We think you need these skills to ace Computer Vision Engineer in Plymouth
Some tips for your application 🫡
Show Your Passion for Computer Vision:When writing your application, let your enthusiasm for computer vision shine through! Share specific projects or experiences that highlight your expertise and passion for the field. We love seeing candidates who are genuinely excited about what they do.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this role. Highlight your experience with end-to-end AI pipelines and team leadership. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant achievements!
Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the heart of your qualifications and experiences.
Apply Through Our Website:Don’t forget to apply 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 you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at NearTech Search
✨Know Your Tech Inside Out
Make sure you brush up on your Computer Vision knowledge, especially around object detection, segmentation, and transformer-based architectures. Be ready to discuss your hands-on experience with Python and C++, as well as any challenges you've faced in delivering ML/CV systems into production.
✨Showcase Your Leadership Skills
Since this role involves managing a team, be prepared to share examples of how you've successfully led engineers in the past. Talk about your approach to mentoring, performance development, and how you’ve built effective teams while maintaining high standards without micromanaging.
✨Understand the Business Impact
This position is all about translating technical work into commercial outcomes. Think about how your previous projects have contributed to business goals and be ready to discuss how you can bridge the gap between AI research and core engineering to drive success for the company.
✨Be Ready for Time Zone Challenges
As you'll be working with teams across the UK and EU, demonstrate your comfort with operating in different time zones. Share any experiences you've had collaborating with international teams and how you managed communication and project timelines effectively.
