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- Tasks: Design and build infrastructure for high-performance machine learning systems.
- Company: Elite tech firm with stunning offices and a collaborative culture.
- Benefits: Up to £200k salary, generous bonuses, and excellent career progression.
- Other info: Work with top engineers and cutting-edge tech in a dynamic environment.
- Why this job: Join a fast-growing team and make a real impact in ML technology.
- Qualifications: 4+ years in Python/Rust and experience with distributed systems.
We are seeking an ML Infrastructure Engineer to join a fast-growing team focused on optimising the performance and scalability of machine learning systems.
In this role, you will design and build the infrastructure that powers high-performance ML workloads, enabling faster training, efficient inference, and scalable deployment across distributed environments. You’ll work on systems that sit at the intersection of machine learning and high-performance engineering, helping to push the boundaries of model efficiency and throughput.
You will collaborate closely with ML engineers, researchers, and platform teams to identify performance bottlenecks and implement optimisations across the stack—from data pipelines and compute orchestration to model execution and hardware utilisation. Your work will directly impact how models are trained, deployed, and scaled in production environments.
As an early member of a growing team, you’ll have significant ownership over architectural decisions, contributing to the design of robust, scalable infrastructure and developer tooling. You’ll also help establish best practices around observability, reliability, and performance benchmarking.
This is an ideal opportunity for someone who enjoys low-level problem solving, distributed systems, and working with modern ML frameworks and infrastructure technologies. You’ll play a key role in building systems that make machine learning faster, more efficient, and more cost-effective.
You will have:
- 4 + Years working with Python and/or Rust - other systems level knowledge a big plus
- Experience working with highly distributed and scalable systems
- Strong understanding of high level system design
- Outstanding academic background - Ideally Computer Science Degree from an Ivy League University
- A curious and tech driven personality!
The organisation is one of the most elite Tech firms globally and you can expect to find:
- Stunning offices
- Generous benefits and bonus package - Market Leading!!
- Excellent career progression and the ability to learn from some of the best engineers on the planet.
- The opportunity to work with tech years ahead of competitors!
Please apply ASAP for more information.
ML Infrastructure Developer (Python/Rust) - Up to £200k base + Bonus + Benefits - London employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Infrastructure Developer (Python/Rust) - Up to £200k base + Bonus + Benefits - London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, conferences, or even online webinars. The more people you know, the better your chances of landing that ML Infrastructure Developer role.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Work on personal projects or contribute to open-source initiatives using Python or Rust. This will not only boost your portfolio but also give you something tangible to discuss during interviews.
✨Tailor Your Approach
When reaching out to potential employers, make sure to tailor your message. Highlight how your skills in optimising machine learning systems can directly benefit their team. Personalisation goes a long way in making a memorable impression!
✨Apply Through Our Website
We’ve got some fantastic opportunities waiting for you! Make sure to apply through our website for the best chance at landing that dream job. It’s quick, easy, and puts you right in front of the hiring team.
We think you need these skills to ace ML Infrastructure Developer (Python/Rust) - Up to £200k base + Bonus + Benefits - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the ML Infrastructure Developer role. Highlight your experience with Python and Rust, and any work you've done on distributed systems. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and infrastructure. Share specific examples of projects you've worked on that demonstrate your problem-solving skills and tech-driven personality.
Showcase Your Projects: If you've got any personal or professional projects related to ML infrastructure, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application more efficiently. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Hunter Bond
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and Rust, as well as any other systems-level knowledge that might come up. Brush up on your understanding of distributed systems and high-level system design, as these will be crucial topics during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled low-level problems or optimised performance in ML systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Company’s Vision
Research the company’s projects and their approach to machine learning infrastructure. Be ready to discuss how your skills can contribute to their goals, especially around scalability and efficiency in production environments.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, architectural decisions, and best practices they follow. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.