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 Edinburgh employer: NearTech Search
Join a dynamic and forward-thinking company in the visual AI space, where you will have the autonomy to lead and grow a talented team of AI/ML engineers while working remotely from the UK. With a strong emphasis on employee development, a collaborative work culture, and the opportunity to make a significant impact on production delivery at scale, this role offers a rewarding environment for those looking to advance their careers in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land Computer Vision Engineer in Edinburgh
✨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 repos or any live demos. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews 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. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Plus, it’s a great way to ensure your application gets the attention it deserves. Let’s get you that dream job!
We think you need these skills to ace Computer Vision Engineer in Edinburgh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your expertise in Computer Vision, Python, and C++, and don’t forget to showcase any leadership roles you've had!
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. Talk about your experience with end-to-end AI pipelines and how you’ve successfully led teams in the past.
Showcase Your Achievements:When detailing your past roles, focus on achievements rather than just responsibilities. Quantify your successes where possible, like the scale of ML systems you’ve delivered or improvements in performance metrics.
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 this exciting opportunity in our growing team!
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 Full AI Lifecycle
Familiarise yourself with the end-to-end AI production pipeline. Be ready to discuss your strategies for data ingestion, organisation, and labelling, as well as how you ensure models are deployed under real-world constraints like latency and resource limitations.
✨Be Ready for Time Zone Challenges
Since you'll be working with teams across the UK and EU, demonstrate your comfort with operating across time zones. Share any experiences you've had collaborating with international teams and how you manage communication effectively despite the differences.
