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- Tasks: Join a dynamic team to develop AI solutions for drug discovery.
- Company: Be part of an innovative biotech start-up revolutionising healthcare with cutting-edge technology.
- Benefits: Enjoy a competitive salary, equity options, flexible work arrangements, and comprehensive health benefits.
- Why this job: Make a real impact in biotech while working with advanced machine learning technologies.
- Qualifications: Strong Python skills, experience in LLM development, and a background in biology or drug discovery required.
- Other info: Work 3 days onsite and 2 days remotely for a balanced lifestyle.
The predicted salary is between 96000 - 224000 £ per year.
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
Benefits:
- Salary up to £160,000
- Equity/share scheme
- 3 days onsite, 2 days remote
- Private medical insurance
- Wellness cash plan
- Company pension scheme
Apply now with your updated CV - rheywood@ndctek.com
Senior ML Engineer - Biotech employer: Seer
Contact Detail:
Seer Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer - Biotech
✨Tip Number 1
Make sure to showcase your experience in Biology and Drug Discovery during any networking opportunities. Engage with professionals in the biotech field on platforms like LinkedIn, and discuss your relevant projects to highlight your expertise.
✨Tip Number 2
Attend industry conferences or webinars focused on AI in Drug Discovery. This will not only expand your knowledge but also help you connect with potential employers and peers who can provide insights into the hiring process.
✨Tip Number 3
Join online forums or communities related to Machine Learning and Biotech. Engaging in discussions can help you stay updated on industry trends and may lead to job referrals from fellow members.
✨Tip Number 4
Prepare to discuss your experience with deploying ML models at scale and LLM development in detail. Be ready to share specific examples of challenges you've faced and how you overcame them, as this will demonstrate your problem-solving skills to potential employers.
We think you need these skills to ace Senior ML Engineer - Biotech
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Machine Learning and Biology, particularly in Drug Discovery. Use specific examples of projects you've worked on that demonstrate your proficiency in Python and LLM development.
Craft a Compelling Cover Letter: Write a cover letter that explains why you're passionate about AI in Drug Discovery. Mention your understanding of NLP and how your previous work has prepared you for this role. Personalise it to reflect the company's mission and values.
Showcase Relevant Projects: Include a section in your CV or cover letter that details any relevant projects where you've deployed ML models at scale. Highlight your proven track record in productionising ML models, as this is crucial for the role.
Proofread and Format: Before submitting your application, ensure that your documents are free from typos and grammatical errors. Use a clean, professional format that makes it easy for the hiring team to read your application.
How to prepare for a job interview at Seer
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and any relevant experience with LLM development. Bring examples of projects where you've successfully deployed ML models at scale, as this will demonstrate your technical capabilities.
✨Highlight Your Biology Knowledge
Since the role is within Biotech, it's crucial to showcase your understanding of biology, particularly in drug discovery. Be ready to discuss how your background in biology complements your machine learning expertise.
✨Discuss NLP Experience
Understanding of Natural Language Processing (NLP) is key for this position. Prepare to talk about any specific NLP projects you've worked on, including challenges faced and how you overcame them.
✨Prepare Questions About the Company
Demonstrate your interest in the company by preparing thoughtful questions about their AI Drug Discovery product and future plans. This shows that you're not only interested in the role but also in contributing to their mission.
