Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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 drug discovery are essential.
- 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
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
Familiarise yourself with the latest trends in AI Drug Discovery and Machine Learning. Being able to discuss recent advancements or case studies in your interviews will demonstrate your passion and knowledge in the field.
✨Tip Number 3
Connect with current employees at the biotech start-up through professional networks. Ask them about their experiences and the company culture, which can give you valuable insights to tailor your approach during the interview process.
✨Tip Number 4
Prepare to discuss specific examples of how you've deployed ML models at scale. Be ready to explain your thought process and the challenges you faced, as this will show your practical experience and problem-solving skills.
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: If you have any relevant projects or publications, include them in your application. This could be links to GitHub repositories or papers that showcase your ability to productionise ML models at scale.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter. Look for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
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.
✨Understand the Biotech Landscape
Familiarise yourself with the latest trends in AI Drug Discovery and how machine learning is being applied in the biotech sector. This knowledge will help you engage in meaningful discussions and show your genuine interest in the field.
✨Prepare for Behavioural Questions
Expect questions about your past experiences, particularly those that highlight your ability to work in teams and overcome challenges. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects, culture, and future direction. This not only shows your enthusiasm but also helps you assess if the company aligns with your career goals.
