Computer Vision Engineer – Manchester (Hybrid) – £45,000–£65,000 + Share Options
Join a cutting-edge AI scale-up based in Manchester that’s redefining how businesses harness data. Backed by experienced founders with multiple successful exits, this well-funded company has built a standout AI platform and is entering a high-growth phase. The team is now 35+ strong and aiming to grow by 50% over the next 18–24 months.
They’re hiring two Computer Vision Engineers who will focus on delivering resilient, deployable AI software solutions that connect AI capabilities to real-world business challenges.
The Role:
This is a hybrid role combining strong software engineering with AI application in real-world environments. You’ll be responsible for producing robust, production-ready code that integrates AI models - especially computer vision- into client systems.
You won’t be expected to build deep learning models from scratch but will play a key role in engineering and maintaining full CI/CD pipelines to deploy AI solutions reliably. The role also includes data analysis, refining use cases, and providing ongoing support to ensure AI applications perform effectively in production.
This role is ideal for experienced software engineers with strong Python and CI/CD skills who want to move into computer vision and AI. Prior deep learning experience is beneficial but not essential, as you’ll be supported to develop this expertise.
What You’ll Do
- Engineer resilient, deployable software that connects AI models to client environments
- Build and maintain CI/CD pipelines to support continuous deployment and testing of AI applications
- Analyse data and contribute to use case creation and iterative improvements
- Collaborate with AI researchers and internal engineering teams to translate business needs into practical solutions
- Provide technical support and troubleshooting for deployed AI systems
What You’ll Need
- Strong software engineering skills in Python (including NumPy, OpenCV)
- Experience with CI/CD pipelines, testing frameworks, and deployment best practices
- Comfortable working in Linux environments
- Familiarity with ML tooling and pipeline orchestration
- Good understanding of software engineering principles, reliability, and production readiness
- Basic knowledge of computer vision concepts; experience with deep learning models is a plus but not required
- Prior experience in a consultative or client-facing technical role is advantageous
- Excellent communication skills to bridge technical and business teams
Why Join?
- Be part of a high-growth, well-funded AI startup with a strong leadership team
- Make a real impact working directly with clients to solve meaningful problems
- Competitive salary plus a strong equity/share package
- Hybrid working setup with one day a week in the Manchester office
- Unlimited holidays and a flexible, supportive working culture
- Clear opportunities for rapid career progression as the business scales
Interested? Apply now or reach out to for more info.
Unfortunately, this role cannot provide visa sponsorship at this time.
