At a Glance
- Tasks: Lead the development and deployment of cutting-edge computer vision models.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on collaboration and innovation.
- Why this job: Make a real impact in AI while mentoring a passionate data science team.
- Qualifications: Strong Python skills and experience with machine learning and computer vision.
The predicted salary is between 60000 - 80000 £ per year.
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
Lead AI Engineer in London employer: Exposed Solutions
As a Lead AI Engineer at our innovative tech company, you will thrive in a dynamic work culture that prioritises collaboration and creativity. We offer competitive salaries, comprehensive benefits, and ample opportunities for professional growth, all within a vibrant location that fosters cutting-edge advancements in AI technology. Join us to make a meaningful impact while working alongside passionate experts in the field.
We think you need these skills to ace Lead AI Engineer in London
Python
FastAPI
Machine Learning
Computer Vision
Roboflow
Azure AI Foundry
Azure OpenAI
