At a Glance
- Tasks: Design and optimise AI systems for physical intelligence using cutting-edge GPU technology.
- Company: Exciting early-stage startup focused on innovative AI solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic startup environment with a chance to make a real impact.
- Why this job: Join a pioneering team and shape the future of AI infrastructure.
- Qualifications: Experience in coding, system design, and familiarity with HPC and MLOps.
The predicted salary is between 60000 - 80000 £ per year.
LinuxRecruit is building a foundational AI system for physical intelligence, aiming to train large models efficiently on GPU clusters from a centrally located London base. The role demands hands-on coding, system design, and full ownership of the training infrastructure in an early-stage startup setting.
You will work at the intersection of HPC, GPU orchestration, and MLOps, crafting scalable systems, optimizing throughput, and driving architectural decisions that unlock rapid experimentation.
Senior AI Infra & DS Engineer — London employer: LinuxRecruit
At LinuxRecruit, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture in the heart of London. Our team-oriented environment encourages personal growth and development, allowing you to tackle real-world challenges while directly engaging with clients. With attractive compensation packages and a commitment to high trust and low ego, we offer a unique opportunity for meaningful and rewarding employment in the rapidly evolving field of AI systems.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Infra & DS Engineer — London
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Senior AI Infra & DS Engineer — London
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 LinuxRecruit.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at LinuxRecruit 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 LinuxRecruit
✨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 LinuxRecruit 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.
