About this role
Full-time: 35 hours per week
Fixed term: 3 years with possibility of extension
Up to 4 posts available
The Opportunity:
This post is full-time (35 hours per week). We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.
Your skills and attributes for success:
You like to understand what problems other organisations are tyring to solve with AI and like to design solutions, develop machine learning/AI pipelines and deploy these pipelines in production. You can demonstrate experience in programming languages (e.g., Python, R, C++), software engineering (e.g., coding skills, testing frameworks, version control, documentation). You have experience using distributed infrastructure (e.g., scaling, containers), data engineering (e.g., databases, streaming, MLops), and machine learning (e.g., PyTorch, TensorFlow, LLM models). You are motived to learn and apply new technologies, tools and methods. You have experience interacting with external problem stakeholders to design, implement and deploy solutions