Principal AI Engineer/Scientist

Job Description
I'm working with a pioneering biotechnology firm equipped with a groundbreaking proprietary computational platform tailored to revolutionise drug discovery.
They’re looking for a Principal AI Scientist/Engineer to take their cutting-edge platform technology to the next level. The role will focus on, AI-driven innovations across the board, supporting the implementation of the next generation of their computational drug discovery and siRNA platforms.
Role:
-Responsibility for co-developing and implementing cutting-edge in-house AI capabilities and infrastructure primarily in the domain of NLP.
-Responsibility for software and data engineering projects and development/maintenance of computational platform infrastructure to support AI-driven drug discovery.
-Enhancing platform engineering solutions to aid bioinformaticians, computational biologists, chemists, and analysts in utilising AI tools for exploring and visualising internal and external data.
Requirements:
-Experience with NLP and Large Language Models.
-High level programming skills in languages such as Java, C/C++, R & Python.
-Knowledge and experience of SOA NLP APIs & ML/Deep Learning frameworks.
-Experience translating user requirements into workflow designs/specifications.
-Skilled in constructing and refining data processing pipelines including workflow management technologies and databases (e.g. Nextflow/Nextflow Tower, SQL/NoSQL).
-Experience with cloud native technologies such as Docker & Kubernetes.
-Knowledge of cloud environments (AWS preferred).
Preferred requirements:
-Experience with AI/ML applied to the Life Sciences.
-Understanding of data management techniques for large-scale scientific data sets.
-Experience with graph databases.