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- Tasks: Design and build high-performance distributed systems and ML infrastructure.
- Company: Leading tech firm in London with a collaborative culture.
- Benefits: Unlimited tech resources, training opportunities, and hybrid work model.
- Why this job: Lead innovative projects and work with cutting-edge technologies like Rust.
- Qualifications: Proven Python skills and experience in high-stakes environments.
- Other info: Open to all experience levels with excellent career growth potential.
The predicted salary is between 43200 - 72000 £ per year.
A leading tech firm in London is looking for a Software Engineer to work on distributed systems and ML infrastructure. You will design and build high-performance systems, and have the opportunity to lead greenfield initiatives.
Candidates should be open to all experience levels, with proven skills in Python, and have a background in high-stakes environments.
The company offers a collaborative culture, unlimited tech resources, and training for learning new technologies like Rust.
Distributed Systems & ML Infra Engineer (Hybrid – London) employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Distributed Systems & ML Infra Engineer (Hybrid – London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving distributed systems and ML. We want to see your Python prowess and any cool stuff you've built – it’s a great conversation starter!
✨Tip Number 3
Prepare for the interview like it’s a big game day! Research the company, understand their tech stack, and be ready to discuss how you can contribute to their greenfield initiatives. We’re all about collaboration, so show us your team spirit!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Distributed Systems & ML Infra Engineer (Hybrid – London)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python expertise and any experience you have with distributed systems. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention your interest in high-performance systems and any relevant projects you've worked on. It helps us see why you're a great fit!
Be Yourself: We love authenticity! Let your personality shine through in your application. Share your passion for tech and any unique experiences that make you stand out from the crowd.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Hunter Bond
✨Know Your Tech Stack
Make sure you’re well-versed in Python and any other relevant technologies mentioned in the job description. Brush up on your knowledge of distributed systems and ML infrastructure, as you might be asked to discuss specific projects or challenges you've faced in these areas.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled high-stakes problems in previous roles. Think of examples where you designed or built high-performance systems, and be ready to explain your thought process and the impact of your solutions.
✨Emphasise Collaboration
Since the company values a collaborative culture, be prepared to talk about your experiences working in teams. Share examples of how you’ve contributed to group projects and how you handle feedback and differing opinions.
✨Express Your Willingness to Learn
With the opportunity to learn new technologies like Rust, show your enthusiasm for continuous learning. Mention any recent courses or self-study efforts you've undertaken, and express your eagerness to grow within the role.
