N
No7 Advisor
No.7 Boots
Machine Learning Engineer, AI, Biotech
Work Model
📍 London, England
Employment
💼 Full-Time Direct
Recruitment Type
🛡️ Direct to HR Pipeline
Role Overview & Responsibilities
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
Frequently Asked Questions
How do I apply for the Machine Learning Engineer, AI, Biotech position at Richard Wheeler Associates?
Click the “Apply for this Position” button on this page to submit your details directly to Richard Wheeler Associates's recruitment pipeline without agency fees or intermediaries.
Is this role eligible for remote work or international relocation?
This position is based in London, England with potential relocation and visa sponsorship considerations for qualified candidates.
Are there any fees to apply through Jobflixs?
No. Jobflixs is 100% free for all job applicants. We strictly prohibit recruitment fees, candidate registration fees, or placement charges.
