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AI Engineer, ML, NLP, Drug Discovery, Large Language Models

West London - office based 4 days per week

£65-87K + benefits

A stunning opportunity to join a company at the forefront of the AI-driven drug discovery revolution. We’re looking for MSc/PhD level Artificial Intelligence / Machine Learning experts to contribute to a transformational change in the way drug discovery is done with a high growth, fast-paced biotechnology company.

The AI/ML Engineer / Principal Scientist will specialise in AI applications and Large Language Models with particular focus on Life Sciences.

We're seeking talented Engineers and Scientists to join a stunning, world class, team embarking on a ground breaking project to develop and implement AI-driven innovations, supporting the implementation of next generation computational drug discovery and siRNA platforms.

You will need:

• MSc/PhD and ideally post-doctoral or similar experience, in AI/Machine Learning, Textual Analysis/Natural Language Processing and Transformer technology/Large Language Models
• Network Science and modern statistical methods would be a plus
• Proven track record of contributions to large AI domain software and data engineering projects relevant to the life sciences, ideally in drug discovery, preferably in a biotech start-up environment
• Good knowledge of cloud computing environments is essential with a preference for AWS

A spread of knowledge in several of the following will be advantageous:

• AI/ML approaches to problems in the Life Sciences
• NLP and Large Language Models
• Engineering and data solutions to support bioinformatic workflow design and development, with a focus on ML/AI applications
• An understanding of data management techniques for large-scale scientific data sets
• Programming skills in Java, C/C++, R or Python
• SOA NLP APIs and Machine Learning / Deep Learning frameworks
• Experience of translating user requirements into workflow designs/specifications
• Experience building and optimising data processing pipelines e.g. Nextflow/Nextflow Tower, SQL/NoSQL
• Experience with graph databases is highly desirable
• Version control, CI/CD, DevOps, and DataOps
• Cloud native technologies and approaches such as Docker and Kubernetes
• Experience of UX/UI design and deployment an advantage
• Ability to work well in a team and a willingness to 'go the extra mile’ to achieve joint goals

Some of the wider benefits:

• BUPA for self + partner/family
• Discretionary bonus
• 10% employer pension contribution

AI Engineer | Senior AI Engineer | Principal Scientist | Senior Scientist | Senior Machine Learning Engineer