Senior ML Engineer - Biotech

Seer; Oxford; Hybrid; GBP 120,000 - 160,000; Full time

Job summary

An exciting biotech start-up is on the lookout for Senior Machine Learning Engineers to join their innovative team focused on AI Drug Discovery. This role offers a unique opportunity to leverage your expertise in Python and machine learning to develop cutting-edge solutions that can transform the pharmaceutical landscape. You will be part of a dynamic environment where your contributions will directly impact the development of groundbreaking drug discovery technologies. With a flexible work arrangement of 3 days onsite and 2 days remote, this position not only promises professional growth but also a chance to work with a passionate team dedicated to making a difference in healthcare.

Benefits

Private medical insurance

Wellness cash plan

Company pension scheme

Qualifications

• Experience in Biology, preferably within Drug Discovery.
• Strong proficiency in Python and deploying ML models.

Responsibilities

• Develop and deploy machine learning models for AI Drug Discovery.
• Work collaboratively in a dynamic biotech start-up environment.

Skills

Python

LLM development

deploying ML models at scale

NLP

productionizing ML models

Job description

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Founder & Head of Biotech Talent @ Seer

Our client, an exciting Biotech start-up is seeking Senior Machine Learning Engineers for their latest product in AI Drug Discovery. You must have experience in Biology, preference being within Drug Discovery.

Requirements:

• Strong proficiency in Python
• Experience with LLM development
• Experience in deploying ML models at scale
• Understanding of NLP
• Proven track record in productionizing ML models

Salary: up to £160,000

Work Arrangement: 3 days onsite, 2 days remote

Benefits:

• Private medical insurance
• Wellness cash plan
• Company pension scheme

Apply now with your updated CV - [e-mail]

Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Pharmaceutical Manufacturing and Biotechnology Research