Lead AI Engineer

Salary: £60,000 - 80,000 per year

Requirements

• Strong, current Python experience, including building and maintaining production services with FastAPI or similar.
• Solid machine learning and computer vision background, with real models shipped to production rather than only notebooks and prototypes.
• Hands-on experience with a computer vision training and labelling toolchain such as Roboflow, including dataset management and model evaluation.
• Experience with Azure AI services such as Azure AI Foundry and Azure OpenAI, or a clear track record on an equivalent cloud AI stack and the ability to pick ours up quickly.
• Practical understanding of working in a regulated or compliance-sensitive environment, including data residency, de-identification, model governance, auditability, and explainability.
• Strong judgment to scope and define a problem before building it, and to know when a model is good enough to ship.
• Experience with OpenCV and classical computer vision alongside deep learning.
• Must be free to work in the UK.

Responsibilities

• Develop, train, and deploy computer vision models, including object detection, image classification, segmentation, and multimodal learning.
• Fine-tune, evaluate, and productionise multimodal LLMs for business applications.
• Drive experimentation and prototyping of advanced ML and AI techniques.
• Provide technical direction, mentoring, and hands-on guidance to the data science team.
• Work with engineering, product, and business stakeholders to align ML strategy with business goals.
• Architect and productionise end-to-end ML pipelines on Azure, ensuring scalability, reproducibility, and monitoring of deployed models.

Technologies

• AI
• Architect
• Azure
• Cloud
• Computer Vision
• FastAPI
• Machine Learning
• Python
• opencv
• Exposed

More

We are building one of the most advanced AI platforms in our market, helping our clients serve customers with unmatched speed and accuracy. We have invested heavily in our ML stack, partnered with leading universities, and trained models on millions of expertly tagged images. As we scale globally, we are looking for a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. We offer the opportunity to lead technical direction for a high-impact team working at the forefront of applied AI in a production environment.

last updated 28 week of 2026