Lead AI & Computer Vision Engineer

I’m working with a growing technology business looking for a Lead AI Engineer to help shape and grow its AI capability. They’re looking for a hands-on AI professional with strong computer vision experience who enjoys building and deploying real-world AI solutions. This role would suit someone operating at a senior level, or an existing lead, who wants to take ownership, mentor others, influence technical direction, and progress into a broader leadership position as the team grows. You’ll work closely with product and engineering teams on cutting-edge AI, computer vision, and intelligent automation initiatives within a fast-paced, startup environment. What You’ll Do

• Design, build, and deploy production AI and computer vision models.
• Develop solutions across image recognition, classification, labelling, and visual analysis.
• Build and optimise LLM and VLM-powered applications.
• Deliver AI solutions across cloud, mobile, and edge environments.
• Build production-grade Python services and APIs.
• Ensure AI solutions are explainable, scalable, and reliable.
• Mentor a junior AI engineer and contribute to technical direction and best practice.
• Partner with product and engineering teams to identify and deliver high-value AI opportunities.

• Strong commercial experience developing and deploying AI solutions.
• Proven computer vision experience (essential).
• Strong Python engineering skills.
• Experience with image-based models, LLMs, VLMs, and model optimisation techniques.
• Exposure to MLOps and modern AI deployment practices.
• Experience with edge AI and/or mobile AI solutions is highly desirable.
• Exposure to iOS/mobile development would be advantageous.
• A practical, hands-on approach with the ability to balance innovation with delivery.
• Strong communication skills and the confidence to challenge, influence, and take ownership.

• Opportunity to shape AI strategy and capability within a growing business.
• Work on cutting-edge AI and computer vision products solving real-world challenges.
• Fully remote working.
• Share options following probation.
• Clear progression into broader AI leadership as the company scales.