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- Tasks: Manage critical network infrastructure for ML/AI-driven trading and research.
- Company: Elite trading firm in London with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Why this job: Join a cutting-edge team and shape the future of trading technology.
- Qualifications: Experience in routing, Linux, and DevOps from a top-tier tech environment.
- Other info: Collaborate with cross-functional teams in a fast-paced, low-latency setting.
The predicted salary is between 48000 - 72000 £ per year.
A leading elite trading firm in London is seeking a Network Engineer to manage critical network infrastructure supporting ML/AI-driven trading and research. The ideal candidate will own the full life cycle of network engineering, ensuring reliable performance across large-scale, low-latency networks.
Responsibilities include:
- Managing Kubernetes networking
- Building observability frameworks
- Closely collaborating with cross-functional teams
Candidates should have a background from a top-tier tech environment with strong skills in routing, Linux, and DevOps.
Latency-Driven Network Engineer for ML/AI Infra in London employer: Autonomai Recruitment
Contact Detail:
Autonomai Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Latency-Driven Network Engineer for ML/AI Infra in London
✨Tip Number 1
Network engineering is all about connections, so make sure to network! Reach out to professionals in the field on LinkedIn or attend industry meetups. You never know who might have a lead on that perfect role.
✨Tip Number 2
When you get an interview, don’t just prepare for the technical questions. Brush up on your soft skills too! Being able to communicate effectively with cross-functional teams is key in this role.
✨Tip Number 3
Showcase your projects! If you've worked on Kubernetes networking or built observability frameworks, be ready to discuss them in detail. Real-world examples can set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to show your interest in joining our team.
We think you need these skills to ace Latency-Driven Network Engineer for ML/AI Infra in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with low-latency networks and Kubernetes. We want to see how your background aligns with the role, so don’t be shy about showcasing your skills in routing, Linux, and DevOps!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about network engineering and how your expertise can contribute to our ML/AI infrastructure. We love seeing genuine enthusiasm!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building observability frameworks or managing network performance, we want to know what you've done and how it relates to the role.
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 Autonomai Recruitment
✨Know Your Networking Basics
Make sure you brush up on your networking fundamentals, especially around low-latency networks. Be ready to discuss routing protocols and how they apply to ML/AI infrastructures. This will show that you understand the core of what the role entails.
✨Showcase Your Kubernetes Knowledge
Since managing Kubernetes networking is a key part of the job, be prepared to talk about your experience with it. Bring examples of how you've implemented or optimised Kubernetes in previous roles, and be ready to discuss any challenges you faced and how you overcame them.
✨Demonstrate Your DevOps Skills
Highlight your experience with DevOps practices, particularly in relation to network engineering. Discuss tools you've used for automation and monitoring, and how these have improved network performance in your past projects. This will help illustrate your ability to work in a fast-paced, tech-driven environment.
✨Collaborate and Communicate
Since the role involves working closely with cross-functional teams, be prepared to share examples of how you've successfully collaborated in the past. Emphasise your communication skills and how you ensure everyone is on the same page, especially when dealing with complex technical issues.
