Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Enhance reliability and scalability of ML platform while optimising inference services.
- Company: Leading AI research firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make a significant impact in AI technology.
- Qualifications: Proven experience in managing AI workloads and expertise in Google Cloud Platform.
- Other info: Work in a dynamic environment with a hybrid work model.
The predicted salary is between 70000 - 90000 £ per year.
A leading AI research firm in Greater London is looking for a Senior Software Engineer to enhance the reliability and scalability of their ML platform. You will own platform strategy, work on global job schedulers, and optimize inference services.
The ideal candidate has a proven track record in managing AI workloads, expertise in Google Cloud Platform, and a strong coding background.
The position requires coming into the office three days a week.
Senior ML Platform Reliability Engineer (Scale & Infra) employer: Isomorphic Labs
Contact Detail:
Isomorphic Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Platform Reliability Engineer (Scale & Infra)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the company’s ML platform. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your projects! If you’ve worked on any relevant AI workloads or optimised services before, make sure to highlight them during your conversations. We want to see your hands-on experience shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior ML Platform Reliability Engineer (Scale & Infra)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI workloads and Google Cloud Platform. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about enhancing ML platform reliability and scalability. Let us know what excites you about this opportunity at StudySmarter.
Showcase Your Coding Skills: Since a strong coding background is key for this role, consider including links to your GitHub or any relevant projects. We love seeing practical examples of your work and how you tackle challenges!
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’s super easy!
How to prepare for a job interview at Isomorphic Labs
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning platforms and the specific technologies mentioned in the job description, like Google Cloud Platform. Be ready to discuss your past experiences managing AI workloads and how you've tackled reliability and scalability issues.
✨Showcase Your Coding Skills
Since a strong coding background is essential for this role, prepare to demonstrate your coding abilities. You might be asked to solve problems on the spot, so practice common algorithms and data structures relevant to ML platforms. Don't forget to explain your thought process as you code!
✨Understand the Company’s Vision
Research the company’s projects and their approach to AI. Understanding their goals will help you align your answers with their vision during the interview. It shows that you're genuinely interested and can contribute to their mission of enhancing ML platform reliability.
✨Prepare Questions
Interviews are a two-way street, so come prepared with insightful questions about the team, the platform strategy, and the challenges they face. This not only demonstrates your interest but also helps you gauge if the company is the right fit for you.