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- Tasks: Design innovative machine learning models to revolutionise drug discovery.
- Company: Leading tech company in Southampton with a focus on scientific advancement.
- Benefits: Competitive salary, professional growth opportunities, and a chance to impact science.
- Why this job: Join a cutting-edge team and contribute to groundbreaking discoveries in chemistry.
- Qualifications: Proficiency in Python and experience with deep learning frameworks like PyTorch.
- Other info: Dynamic work environment with a strong emphasis on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company in Southampton is seeking an AI/ML Engineer to tackle complex challenges in teaching machines to understand chemistry. This role involves designing novel machine learning architectures, developing robust data pipelines, and ensuring models meet performance requirements.
Candidates should have proficiency in Python and experience with deep learning frameworks like PyTorch. This position offers competitive salary and opportunities for professional growth, aiming to impact scientific discovery significantly.
Chemistry AI/ML Engineer: Build Drug-Discovery Tools in Southampton employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Chemistry AI/ML Engineer: Build Drug-Discovery Tools in Southampton
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI/ML and chemistry fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your passion.
✨Tip Number 2
Showcase your skills! Create a portfolio of projects that highlight your proficiency in Python and deep learning frameworks like PyTorch. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your thought process when tackling complex problems related to machine learning and chemistry.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals who are eager to make an impact in scientific discovery. Your next big opportunity could be just a click away!
We think you need these skills to ace Chemistry AI/ML Engineer: Build Drug-Discovery Tools in Southampton
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python and any experience you have with deep learning frameworks like PyTorch. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Chemistry AI/ML Engineer position. We love seeing candidates who take the time to connect their experiences to what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your passion for tackling complex challenges in AI and chemistry shines through without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in Southampton!
How to prepare for a job interview at Jobster
✨Know Your Chemistry and AI
Brush up on your chemistry fundamentals and be ready to discuss how they relate to AI and machine learning. Understand key concepts in drug discovery and be prepared to explain how your skills can contribute to solving complex challenges in this area.
✨Showcase Your Python Skills
Since proficiency in Python is a must, make sure you can talk about your past projects where you've used Python effectively. Be ready to discuss specific libraries or frameworks you've worked with, especially in the context of deep learning and data pipelines.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of machine learning architectures and performance metrics. Practice explaining your thought process when designing models and how you would approach troubleshooting issues in data pipelines.
✨Demonstrate Your Passion for Impact
This role aims to significantly impact scientific discovery, so convey your enthusiasm for the field. Share examples of how your work has contributed to meaningful projects in the past and express your desire to be part of something that makes a difference.
