At a Glance
- Tasks: Design and maintain scalable Kubernetes clusters for AI workloads.
- Company: Leading financial technology firm in London with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities to work with cutting-edge AI tech.
- Why this job: Join a dynamic team and shape the future of AI in finance.
- Qualifications: Expertise in Kubernetes, Slurm, Python, and C++ required.
The predicted salary is between 60000 - 80000 £ per year.
A leading financial technology firm in London is seeking an AI Infrastructure Engineer to join their team. The role involves designing and maintaining scalable Kubernetes clusters, optimizing Slurm-based HPC environments, and developing APIs for AI workloads.
Candidates should have expertise in:
- Kubernetes
- Experience with Slurm
- Skills in Python and C++
The position offers a hybrid work model with a focus on cutting-edge AI technologies.
AI Infrastructure Engineer — Scalable ML Clusters in London employer: Pantera Capital
As a leading financial technology firm in London, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from a hybrid work model, competitive compensation, and ample opportunities for professional growth in the rapidly evolving field of AI. Join us to be part of a team that is at the forefront of technological advancement, where your contributions will have a meaningful impact on the future of finance.
StudySmarter Expert Advice🤫
We think this is how you could land AI Infrastructure Engineer — Scalable ML Clusters in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that AI Infrastructure Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Kubernetes and Slurm. We love seeing real-world applications of your expertise, so don’t be shy about sharing your projects when you chat with potential employers.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your Python and C++ skills, and be ready to discuss how you’ve tackled challenges in scalable ML clusters. We want to see your problem-solving skills in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re always on the lookout for talent like yours, so don’t hesitate to hit that apply button!
We think you need these skills to ace AI Infrastructure Engineer — Scalable ML Clusters in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Kubernetes, Slurm, and programming in Python and C++. 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 excited about working with cutting-edge AI technologies and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've tackled challenges in scalable ML clusters or optimised HPC environments. We love to see how you think and approach problems, so share those success stories!
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 – just follow the prompts!
How to prepare for a job interview at Pantera Capital
✨Know Your Tech Inside Out
Make sure you brush up on your Kubernetes and Slurm knowledge. Be ready to discuss how you've used these technologies in past projects, and think of specific examples where you optimised environments or solved complex problems.
✨Showcase Your Coding Skills
Since Python and C++ are key for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand to show off your skills.
✨Understand the Company’s Focus
Research the financial technology firm and their approach to AI. Familiarise yourself with their products and how they leverage AI technologies. This will help you tailor your answers and show that you're genuinely interested in their work.
✨Prepare Questions to Ask
Interviews are a two-way street! Prepare insightful questions about their AI infrastructure, team dynamics, and future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
