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- Tasks: Lead a team to develop scalable ML systems for drug discovery.
- Company: Leading AI healthcare firm in London with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by driving AI innovations.
- Qualifications: Strong background in ML engineering and leadership skills.
- Other info: Collaborative environment with a focus on health innovations.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI healthcare firm in London is seeking a Machine Learning Engineering Lead to drive the engineering foundations of drug discovery. You will lead a team, applying your expertise in ML and software engineering to create scalable systems, while working in a collaborative hybrid environment. The ideal candidate has a strong background in ML engineering and a passion for impactful health innovations.
ML Engineering Lead - Hybrid, Driving AI for Drug Discovery in City of London employer: Isomorphic Labs
Contact Detail:
Isomorphic Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineering Lead - Hybrid, Driving AI for Drug Discovery in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and healthcare sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show your passion for impactful health innovations.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your ML projects, especially those related to drug discovery. This will give potential employers a clear view of your expertise and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your experience in leading teams and driving projects, as well as your approach to collaboration in a hybrid environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace ML Engineering Lead - Hybrid, Driving AI for Drug Discovery in City of London
Some tips for your application 🫡
Show Your Passion for Health Innovations: When writing your application, let us see your enthusiasm for health innovations shine through. Share any relevant experiences or projects that highlight your commitment to making a difference in the healthcare sector.
Highlight Your ML Engineering Expertise: Make sure to showcase your strong background in ML engineering. Detail your technical skills and any specific projects where you've applied these skills to create scalable systems, as this is key for the role.
Emphasise Team Collaboration: Since we value a collaborative hybrid environment, mention any experiences where you’ve successfully led a team or worked closely with others. This will show us that you can thrive in our team-oriented culture.
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 during the process.
How to prepare for a job interview at Isomorphic Labs
✨Know Your ML Fundamentals
Brush up on your machine learning concepts and algorithms. Be ready to discuss how you've applied these in past projects, especially in drug discovery or healthcare contexts. This shows your expertise and passion for impactful health innovations.
✨Showcase Leadership Experience
Prepare examples of how you've led teams in previous roles. Highlight your ability to foster collaboration and drive projects forward. The interviewers will want to see how you can lead a team effectively in a hybrid environment.
✨Demonstrate Problem-Solving Skills
Be ready to tackle hypothetical scenarios related to drug discovery challenges. Think about how you would approach building scalable systems and be prepared to explain your thought process clearly. This will showcase your analytical skills and creativity.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects, culture, and future directions in AI for drug discovery. This not only shows your interest but also helps you gauge if the company aligns with your values and career goals.
