Machine Learning Engineer, AI, Biotech London, England
Job description
Machine Learning Engineer / Principal Scientist, Large Language Models, Life Sciences
West London - office based 4 days per week
ALL levels from £55-100K+
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
Senior Principal Scientist | Principal Scientist | Senior Scientist | Senior Machine Learning Engineer | Senior AI Engineer
Job Types: Full-time, Permanent
Salary: £55,000.00-£100,000.00 per year
Benefits:
- Work from home
Schedule:
- Monday to Friday
Education:
- Master's (required)
Work Location: Hybrid remote in London, W2 6BD
