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- Tasks: Lead ML infrastructure teams and oversee the development of core platforms.
- Company: Cutting-edge AI company in London focused on advancing drug discovery.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by enhancing drug discovery through innovative technology.
- Qualifications: Significant experience in software engineering, leadership, and cloud technologies like AWS and Azure.
- Other info: Join a dynamic team dedicated to operational excellence and strategic innovation.
The predicted salary is between 54000 - 84000 £ per year.
A cutting-edge AI company in London is seeking a Senior Engineering Manager to lead the strategic direction and operational excellence of ML infrastructure teams. This influential role will oversee the development of core platforms and ensure high performance and reliability of systems, contributing to the mission of advancing drug discovery.
Candidates should have significant experience in software engineering and leadership, alongside expertise in cloud technologies like AWS and Azure.
Senior ML Infrastructure Engineering Manager - Hybrid London employer: Isomorphic Labs
Contact Detail:
Isomorphic Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Infrastructure Engineering Manager - Hybrid London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can open doors and give you insider info that could set you apart.
✨Tip Number 2
Showcase your skills! When you get the chance to meet potential employers, be ready to discuss your past projects and how they relate to ML infrastructure. Bring examples that highlight your leadership and technical expertise.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s mission and values. Tailor your responses to show how your experience aligns with their goals, especially in advancing drug discovery through AI.
✨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 Senior ML Infrastructure Engineering Manager - Hybrid London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior ML Infrastructure Engineering Manager role. Highlight your leadership experience and any relevant cloud technologies you've worked with, like AWS or Azure.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about advancing drug discovery through AI. Share specific examples of how you've led teams to success in similar roles, and don’t forget to mention your strategic vision for ML infrastructure.
Showcase Your Technical Skills: In your application, be sure to detail your technical expertise in software engineering and cloud technologies. We want to see how you’ve applied these skills in real-world scenarios, so don’t hold back on the specifics!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Isomorphic Labs
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of cloud technologies like AWS and Azure. Be ready to discuss how you've used these platforms in previous roles, especially in relation to ML infrastructure. This will show that you’re not just familiar with the tech, but that you can leverage it effectively.
✨Showcase Your Leadership Skills
As a Senior Engineering Manager, your leadership experience is crucial. Prepare examples of how you've led teams to success, tackled challenges, and fostered a collaborative environment. Highlight specific instances where your leadership made a tangible impact on project outcomes.
✨Understand the Company’s Mission
Research the company’s mission in advancing drug discovery. Be prepared to discuss how your role can contribute to this goal. Showing that you align with their vision will demonstrate your genuine interest in the position and the company.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and decision-making process. Think about past experiences where you had to make tough calls regarding system performance or team dynamics, and be ready to articulate your thought process clearly.
