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- Tasks: Develop innovative algorithms for drug discovery and build predictive ML models.
- Company: Cutting-edge AI drug design company based in London.
- Benefits: Substantial growth opportunities in a dynamic startup environment.
- Why this job: Shape technological frameworks and make a real impact in healthcare.
- Qualifications: At least 3 years of industry experience and strong software engineering skills.
The predicted salary is between 50000 - 60000 £ per year.
A cutting-edge AI drug design company in London is seeking an experienced ML engineer to develop innovative algorithms for drug discovery. You will build predictive ML models and collaborate closely with product teams and customers. This role offers substantial growth opportunities in a dynamic startup environment and the chance to shape technological frameworks from the start.
Candidates should have at least 3 years of industry experience and strong software engineering skills.
ML Engineer, Drug Design Platform employer: DeepMirror Mirror Ltd
Contact Detail:
DeepMirror Mirror Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer, Drug Design Platform
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to drug design or predictive modelling. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and coding skills. Practice common ML problems and be ready to discuss your past projects in detail. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace ML Engineer, Drug Design Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in ML and software engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our innovative drug design platform. Let your personality come through!
Showcase Your Projects: If you've worked on any cool ML projects, make sure to mention them! We love seeing practical examples of your work, especially if they relate to drug discovery or predictive modelling.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at DeepMirror Mirror Ltd
✨Know Your Algorithms
Brush up on the latest algorithms in machine learning, especially those relevant to drug discovery. Be ready to discuss how you've applied these in past projects and how they can be adapted for the company's needs.
✨Showcase Your Collaboration Skills
Since this role involves working closely with product teams and customers, prepare examples of how you've successfully collaborated in previous roles. Highlight your communication skills and how you’ve translated technical concepts for non-technical stakeholders.
✨Demonstrate Your Software Engineering Prowess
Make sure to highlight your software engineering skills during the interview. Be prepared to discuss your experience with coding best practices, version control, and any relevant programming languages or frameworks that are crucial for the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects and future goals. This shows your genuine interest in the role and helps you understand how you can contribute to their innovative drug design platform.