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- Tasks: Integrate cutting-edge AI hardware with top open-source projects and develop high-performance runtimes.
- Company: Fractile, a revolutionary tech company at the forefront of AI advancements.
- Benefits: Flexible work locations in London or Bristol, competitive salary, and a dynamic team culture.
- Other info: Collaborative team atmosphere with opportunities for innovation and growth.
- Why this job: Join a fast-paced environment and make a real impact on the future of AI technology.
- Qualifications: 5+ years in ML software, strong Python and Rust skills, and a creative mindset.
The predicted salary is between 70000 - 90000 £ per year.
At Fractile, we’re taking a revolutionary approach to computing to run the world’s largest language models 100x faster than existing systems. Our fast-growing team is working at the cutting edge of the latest AI developments in both hardware and software. Want to get involved?
We are looking for Senior ML Runtime Engineers with experience of key ML software ecosystem components to work on inference server integrations and the runtime stack of our ground-breaking AI accelerators. You can be based in either our London office or Bristol, the choice is yours.
In this role, you will:
- Integrate Fractile's innovative AI acceleration hardware with leading open source projects like PyTorch, vLLM, and SGLang
- Develop our underlying high-performance Rust runtime
- Work with hardware, lower-level software, and ML engineers in a highly collaborative hardware-software co-design methodology
It would be great if you have:
- Proven experience of working with major ML software ecosystem projects
- A good understanding of the latest ML workloads and inference deployment challenges
- Excellent Python and Rust skills and solid experience of industry standard development tools and technologies
- A creative and innovative mindset, and a willingness to take ownership and drive results in a fast-paced environment
- Computer Science, Electronic Engineering, Maths, Physics, or related degree and 5+ years of industry experience
You may also have:
- Experience of working with GPUs or other machine learning accelerators
- Previous experience in a startup or small team environment
Senior ML Runtime Engineer in London employer: Machine Learning Jobs UK
Contact Detail:
Machine Learning Jobs UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Runtime Engineer 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 get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to ML and Rust. We want to see what you can do, so make it easy for us to find your best work.
✨Tip Number 3
Prepare for the interview like it’s the championship game! Research Fractile, understand our tech stack, and be ready to discuss how your experience aligns with our needs. We love candidates who come prepared!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals who want to join our innovative team.
We think you need these skills to ace Senior ML Runtime Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML software ecosystem components and showcases your Python and Rust skills. We want to see how your background aligns with the role, so don’t be shy about tailoring it to fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working at Fractile and how your innovative mindset can contribute to our fast-paced environment. Let us know what drives you!
Showcase Relevant Projects: If you've worked on any projects related to AI accelerators or inference server integrations, make sure to mention them. We love seeing real-world applications of your skills, so share those experiences with us!
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 don’t miss out on any important updates from our team. We can’t wait to hear from you!
How to prepare for a job interview at Machine Learning Jobs UK
✨Know Your Tech Inside Out
Make sure you brush up on your Python and Rust skills before the interview. Be ready to discuss your experience with major ML software projects and how you've tackled inference deployment challenges in the past. This will show that you're not just familiar with the tech, but that you can also apply it effectively.
✨Showcase Your Collaborative Spirit
Fractile values teamwork, so be prepared to share examples of how you've worked collaboratively with hardware and software engineers. Highlight any experiences where you contributed to a co-design methodology, as this will demonstrate your ability to thrive in a fast-paced, innovative environment.
✨Be Ready for Problem-Solving Questions
Expect some technical questions that test your problem-solving skills, especially related to ML workloads and runtime integration. Practice articulating your thought process clearly, as this will help the interviewers see how you approach challenges and come up with creative solutions.
✨Express Your Passion for Innovation
Fractile is all about pushing boundaries, so let your enthusiasm for cutting-edge AI developments shine through. Share any personal projects or ideas you have that align with their mission, as this will show that you're not just looking for a job, but that you're genuinely excited about contributing to their revolutionary approach.