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- Tasks: Develop and deploy machine learning models for innovative AI Drug Discovery projects.
- Company: Join a dynamic Biotech start-up at the forefront of AI technology.
- Benefits: Enjoy equity options, private medical insurance, wellness plans, and a pension scheme.
- Why this job: Be part of a cutting-edge team making a real impact in healthcare with flexible work arrangements.
- Qualifications: Strong Python skills and experience in scaling and productionising ML models required.
- Other info: Work mostly remotely with occasional onsite collaboration.
The predicted salary is between 43200 - 72000 £ per year.
Our client, an exciting Biotech start-up is seeking Senior Machine Learning Engineers for their latest product in AI Drug Discovery.
- Strong proficiency in Python
- Experience in deploying ML models at scale
- Proven track record in productionizing ML models
Benefits include:
- Equity/share scheme
- ~3 days onsite, 2 days remote
- ~ Private medical insurance
- ~ Wellness cash plan
- ~ Company pension scheme
Senior Machine Learning Engineer (Fully Remote) employer: Seer
Contact Detail:
Seer Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer (Fully Remote)
✨Tip Number 1
Familiarise yourself with the latest trends in AI Drug Discovery. Understanding the specific challenges and innovations in this field will help you demonstrate your passion and knowledge during interviews.
✨Tip Number 2
Showcase your experience with deploying ML models at scale by preparing examples of past projects. Be ready to discuss the tools and frameworks you used, as well as the impact your work had on the overall project.
✨Tip Number 3
Network with professionals in the biotech and machine learning sectors. Engaging with industry events or online forums can provide valuable insights and connections that may lead to referrals or recommendations.
✨Tip Number 4
Prepare for technical interviews by brushing up on your Python skills and understanding common algorithms used in machine learning. Practising coding challenges related to ML can give you an edge over other candidates.
We think you need these skills to ace Senior Machine Learning Engineer (Fully Remote)
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the specific requirements of a Senior Machine Learning Engineer in the context of AI Drug Discovery. Highlight your experience in deploying ML models and productionising them.
Tailor Your CV: Make sure your CV reflects your strong proficiency in Python and any relevant projects or roles that demonstrate your expertise in machine learning. Use keywords from the job description to catch the employer's attention.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also your passion for biotech and AI. Mention how your background aligns with the company's mission and the specific role.
Showcase Relevant Projects: If you have worked on projects related to AI Drug Discovery or have experience in similar fields, be sure to include these in your application. Provide links to your work or GitHub repositories if applicable.
How to prepare for a job interview at Seer
✨Showcase Your Python Proficiency
Make sure to highlight your strong skills in Python during the interview. Be prepared to discuss specific projects where you've used Python for machine learning, and consider bringing examples of your code or projects to demonstrate your expertise.
✨Discuss Model Deployment Experience
Since the role requires experience in deploying ML models at scale, be ready to talk about your past experiences in this area. Share details about the tools and frameworks you used, the challenges you faced, and how you overcame them.
✨Emphasise Productionisation Successes
Prepare to discuss your proven track record in productionising ML models. Highlight specific instances where your models have been successfully implemented in a production environment, and the impact they had on the business or project.
✨Align with Company Values
Research the biotech start-up's mission and values before the interview. Be ready to explain how your personal values align with theirs, especially in the context of AI Drug Discovery, as this will show your genuine interest in their work.
