At a Glance
- Tasks: Lead reliability strategies and optimise ML platform performance.
- Company: Innovative biotech AI company in Greater London.
- Benefits: Hybrid work model, competitive salary, and opportunities for growth.
- Other info: Work in a dynamic environment with a focus on innovation.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Experience in architecting AI workloads and Google Cloud Platform expertise.
The predicted salary is between 80000 - 100000 £ per year.
A biotech AI company in Greater London is seeking a Senior or Principal Software Engineer to ensure the reliability and scalability of their ML platform. The successful candidate will be responsible for leading platform reliability strategies, managing GPU/TPU infrastructure, and optimizing inference services.
Applicants should have proven experience in architecting AI workloads and expertise in Google Cloud Platform. The position follows a hybrid model with in-office attendance expected three days a week.
Principal ML Platform Engineer - Reliability & Scale employer: Isomorphic Labs
Isomorphic Labs is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to contribute to groundbreaking advancements in drug discovery. Located in London, the company offers a unique opportunity for professional growth within a rapidly scaling environment, alongside competitive benefits and a commitment to diversity and inclusion. Join us to be part of a mission-driven team dedicated to transforming human health through the power of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Principal ML Platform Engineer - Reliability & Scale
✨Tip Number 1
Network like a pro! Reach out to folks in the biotech and AI space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with ML platforms and Google Cloud. It’s a great way to demonstrate your expertise beyond the application.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your knowledge of GPU/TPU infrastructure and reliability strategies. We all know how crucial it is to impress during those sessions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Principal ML Platform Engineer - Reliability & Scale
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with ML platforms and cloud infrastructure. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements in reliability and scalability.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you the perfect fit for our team. We love seeing genuine enthusiasm and a clear understanding of the role.
Showcase Relevant Projects:If you've worked on any projects related to GPU/TPU infrastructure or optimising inference services, make sure to mention them. We’re keen to see real-world examples of your expertise and how you’ve tackled challenges in the past.
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’re considered for the role. Plus, it gives you a chance to explore more about what we do!
How to prepare for a job interview at Isomorphic Labs
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Google Cloud Platform. Brush up on your knowledge of GPU/TPU infrastructure and be ready to discuss how you've architected AI workloads in the past.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled reliability and scalability challenges in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Company’s Mission
Research the biotech AI company and understand their goals and values. Be prepared to discuss how your experience aligns with their mission and how you can contribute to their success in the ML space.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, current projects, and future challenges they face with their ML platform. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
