At a Glance
- Tasks: Integrate cutting-edge AI hardware with leading inference frameworks and tackle complex ML challenges.
- Company: Fractile, a revolutionary tech company focused on AI acceleration.
- Benefits: Competitive salary, equity, hybrid work, and a culture of learning and collaboration.
- Other info: Diverse and inclusive workplace welcoming applicants from all backgrounds.
- Why this job: Join a small expert team and make a real impact in AI infrastructure.
- Qualifications: Experience in ML inference, strong software engineering skills, and a passion for problem-solving.
The predicted salary is between 72000 - 88000 £ per year.
About Fractile
We’re taking a revolutionary approach to computing — building AI acceleration hardware that runs the world’s largest language models 100× faster than existing systems. Our team works at the cutting edge of both hardware and software AI development, and we’re growing fast.
This is a hybrid role, with offices in London and Bristol — your choice of base.
The Role
We’re looking for a Senior ML Runtime Engineer to help us integrate Fractile’s AI accelerators with the latest inference frameworks and build the runtime stack that makes them fly. You’ll work on genuinely hard problems — KV cache management, scalable multi‑user inference, and the internals of transformer model execution — alongside a collaborative team that values curiosity and rigor equally.
What You’ll Do
- Integrate Fractile’s AI acceleration hardware with leading inference engines including vLLM and SGLang
- Research KV cache management technologies (including paged attention) and build proof‑of‑concept implementations tailored to our hardware
- Work closely with the runtime team to design and build a scalable, bare‑bones reference inference engine
- Focus primarily on the transformer ML architecture
- Share your expertise to help shape the direction of our runtime stack
What We’re Looking For
We care most about depth of knowledge and a genuine interest in the problem space. You’ll be a strong fit if you have:
- Solid experience with ML inference at scale, including multi‑user serving
- A deep understanding of paged attention and inference engines such as vLLM
- Familiarity with key components of the ML software ecosystem
- Strong software engineering skills and an instinct for clean, maintainable systems
Bonus Points
- Experience with Rust
- Having built your own inference engine from scratch
- A degree in Computer Science or a related field
Why Fractile
- Work on one of the most technically ambitious projects in AI infrastructure
- A small, expert team where your contributions are visible and valued
- Hybrid working — split your time between home and our London or Bristol office
- Competitive salary and equity
- A culture that values learning, directness, and collaboration
Fractile is committed to building a diverse and inclusive team. We welcome applications from people of all backgrounds and actively encourage candidates from underrepresented groups to apply.
Mid-Level and Senior ML Runtime Engineer employer: Fractile
Fractile is an exceptional employer, offering a unique opportunity to be part of a fast-growing AI hardware startup in London. With a supportive and ambitious team culture, employees are empowered to take ownership of their work while enjoying ample opportunities for personal and professional growth. The company's commitment to innovation and compliance in a cutting-edge field ensures that every team member plays a vital role in shaping the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Mid-Level and Senior ML Runtime Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Fractile or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Fractile.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Fractile.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Fractile that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Mid-Level and Senior ML Runtime Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Fractile.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Fractile and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Fractile
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Fractile uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
