Lead Data Scientist

• I develop, train, and deploy computer vision models, including object detection, image classification, segmentation, and multi-modal learning.
• I fine-tune, evaluate, and productionize multi-modal LLMs for business applications.
• I drive experimentation and prototyping of advanced machine learning and AI techniques.
• I provide technical direction, mentoring, and hands-on guidance to the data science team.
• I collaborate with engineering, product, and business stakeholders to align machine learning strategies with business goals.
• I architect and productionize end-to-end ML pipelines on Azure, ensuring scalability, reproducibility, and monitoring of deployed models.

Technologies:

• AI
• Architect
• Azure
• CI/CD
• Computer Vision
• FastAPI
• Machine Learning
• PyTorch
• Python
• Cloud
• Exposed
• LLM

More:

We are building the most advanced AI platform in our market, helping clients serve customers with unmatched speed and accuracy. We have invested significantly in constructing our machine learning stack, partnering with leading universities, and training models on millions of expert-tagged images. As we scale globally, we are in search of a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal large language models, all while addressing real-world challenges.

• I have 6+ years of experience in data science and machine learning, with at least 2 years in a technical lead role.
• I possess deep experience in training and deploying computer vision models into production.
• I have a proven track record in fine-tuning large language models (LLMs), including prompt engineering and productionization.
• I hold extensive experience in MLOps on Azure, covering CI/CD, monitoring, and scaling pipelines.
• I am skilled in coding with Python and proficient in frameworks such as PyTorch, FastAPI, and Azure CLI.
• I must be free to work in the UK.