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

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