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- Tasks: Design AI infrastructure and collaborate on groundbreaking disease cure initiatives.
- Company: Leading biotech firm in London with a strong focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a mission-driven team making a real difference in healthcare through AI.
- Qualifications: Experience with large-scale AI/ML workloads and Kubernetes is essential.
- Other info: Collaborative culture with a focus on cross-disciplinary teamwork.
The predicted salary is between 42000 - 84000 £ per year.
A leading biotech firm in London seeks a Software Engineer to focus on AI infrastructure for disease cure initiatives. The role involves designing GPU/TPU strategies and collaborating with cross-disciplinary teams.
Candidates should have experience with large-scale AI/ML workloads and Kubernetes. The company values a collaborative culture and operates on a hybrid model, requiring office attendance three days a week.
ML Infrastructure Engineer – Fleet & GPU in London employer: Isomorphic Labs Limited
Contact Detail:
Isomorphic Labs Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Infrastructure Engineer – Fleet & GPU in London
✨Tip Number 1
Network like a pro! Reach out to folks in the biotech and AI space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! If you've worked on GPU/TPU strategies or large-scale AI/ML workloads, make sure to highlight those experiences in conversations. Bring examples of your work to interviews to really impress.
✨Tip Number 3
Get comfy with Kubernetes! Brush up on your knowledge and maybe even do a little project to showcase your skills. Being able to talk about your hands-on experience will definitely set you apart.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in our company. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace ML Infrastructure Engineer – Fleet & GPU in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML workloads and Kubernetes. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI infrastructure and how you can contribute to our mission in disease cure initiatives. Keep it engaging and personal!
Showcase Collaboration Skills: Since we value a collaborative culture, mention any experiences where you’ve worked with cross-disciplinary teams. Highlighting your teamwork skills will show us you’re a great fit for our environment.
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 Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in GPU/TPU strategies and large-scale AI/ML workloads. Brush up on your Kubernetes knowledge too, as it’s crucial for the role. Being able to discuss specific projects or experiences where you’ve applied these technologies will really impress the interviewers.
✨Showcase Your Collaborative Spirit
Since the company values a collaborative culture, be prepared to share examples of how you’ve worked effectively in cross-disciplinary teams. Highlight any experiences where you’ve successfully communicated complex technical concepts to non-technical team members.
✨Understand the Company’s Mission
Research the biotech firm’s initiatives in disease cures and how AI plays a role in that. Showing genuine interest in their mission can set you apart. Prepare thoughtful questions about their projects and how you can contribute to their goals.
✨Prepare for Hybrid Work Dynamics
As the role requires office attendance three days a week, think about how you can balance remote and in-office work effectively. Be ready to discuss your approach to maintaining productivity and collaboration in a hybrid environment.