At a Glance
- Tasks: Architect and optimise AI infrastructure for cutting-edge robotics projects.
- Company: Exciting AI startup with a record-breaking seed round and a talent-dense team.
- Benefits: Competitive salary, meaningful equity, and a state-of-the-art London lab.
- Other info: Fast-paced, collaborative environment with high ownership and impact.
- Why this job: Shape the future of AI technology while working on groundbreaking robotics.
- Qualifications: Experience in AI infrastructure, PyTorch, and modern transformer architectures.
The predicted salary is between 63000 - 77000 £ per year.
Work on the cutting edge of AI.
This is an opportunity to join an AI startup working with the cutting edge in robotics at a stage where your impact will shape the future of the company itself.
You will be joining a company that is still in stealth but has had a record breaking seed round of funding.
And this isn't just another AI startup, this is a talent dense team of experts who are moving at an accelerated pace to solve the hardest problems in embodied AI.
You’ll be a deeply technical specialist, who will architect and optimize distributed training across multiple GPUs and machines in AWS.
You will eliminate bottlenecks in the data path to ensure training is fast and as capital efficient as possible alongside managing cluster orchestration using slurm and Kubernetes while preparing to expand into specialised GPU providers.
And finally you will master the stack from pytorch based learning libraries to complex data networking and GPU utilisation.
We're looking for an experienced AI Infrastructure or MLOps Engineer who has already built and operated production AI systems rather than someone at the beginning of their career.
You'll have strong experience with the Py Torch ecosystem and a solid understanding of modern transformer architectures, including how to train and operate them at scale.
Experience working with computer vision models and image-based datasets is particularly valuable, and we're looking for someone who thrives in an early-stage startup environment where ownership is high, pace is fast, and everyone contributes across the stack.
This is a highly collaborative role, so you'll be excited to work alongside the team in the London- based lab every day.
In return, you'll join at a pivotal stage where your work will directly shape both the technology and the future of the company.
You'll be building cutting-edge robotics AI, while benefiting from a competitive salary, meaningful founding equity, and the opportunity to work alongside a world-class team in a state-of-the-art London lab.
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AI Infrastructure Engineer in 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 AI Infrastructure Engineer in London
✨Dive into Robotics Meetups
Get yourself out there and connect with others in the robotics-automation field by attending local meetups and industry events. These gatherings are where the magic happens, and you might just rub shoulders with someone from LinuxRecruit or get insider tips on upcoming vacancies.
✨Showcase Your Projects
Create a portfolio that highlights your robotics projects, whether they're personal, academic, or freelance. Share this on platforms like GitHub or your personal website, as it shows potential employers, like LinuxRecruit, what you're made of and your hands-on experience in the field.
✨Utilise University Resources
If you're fresh out of university or still connected, don't underestimate your career services. They often have exclusive access to job fairs and employer networking events in technical fields like ours, so make sure you tap into those resources to discover openings at companies like LinuxRecruit.
✨Engage in Online Communities
Join online communities that focus on robotics and automation, such as forums or LinkedIn groups. Engage in conversations, ask questions, and share insights. This not only builds your visibility but could also lead to direct connections at firms like LinuxRecruit, which might have the full-time role you're after.
We think you need these skills to ace AI Infrastructure Engineer in London
Some tips for your application 🫡
Showcase Your Technical Skills:In the robotics and automation field, it's crucial to highlight your technical skills on your CV. Include specific programming languages, software platforms, and any relevant robotics experience. Don’t forget to mention any projects or systems you've developed – this info can really make you stand out!
Portfolio Perfection:Having a polished portfolio can speak volumes for a role in robotics. Include any relevant case studies, designs, or prototypes you've worked on. If you've participated in competitions or hackathons, showcase these achievements as well – they show initiative and problem-solving skills!
Tailored Cover Letter Magic:In your cover letter, don’t just tell us that you love robotics—tell us why you’re passionate about automation specifically! Explain how your skills can contribute to LinuxRecruit’s projects and remember to connect your past experiences to what you'll be doing in this role.
Certifications Matter:If you’ve got any relevant certifications, such as in robotic process automation or machine learning, make sure they’re front and centre on your CV. These credentials show you're dedicated to your field and keep you up to date with industry standards – we love to see that!
How to prepare for a job interview at LinuxRecruit
✨Showcase Your Technical Wizardry
For a role in robotics and automation at LinuxRecruit, it's crucial to demonstrate your technical skills. Be prepared to dive into specifics about the programming languages and tools you’ve used, like Python or ROS (Robot Operating System). Brush up on your knowledge of algorithms and control systems, as these might come up during technical questions.
✨Bring Your Projects to Life
With a full-time position in robotics, you should have a portfolio of your projects ready to show. Whether it's a robot you built for a competition or a simple automation script, make sure you can discuss the challenges you faced and how you solved them. This hands-on experience is gold and shows you can apply theoretical knowledge in real-world scenarios.
✨Think Like an Engineer
Expect some problem-solving scenarios during your interview. You might be asked to design a basic automation solution on the spot or troubleshoot a robotic system. Practising these types of technical questions can really set you apart, as they require critical thinking and a systematic approach to tackle problems.
✨Culture Fit Is Key!
Don’t underestimate the importance of cultural fit at LinuxRecruit. They might ask about your teamwork experience and how you handle challenges with peers. Be ready to share examples of working in diverse teams, as collaboration is often central to projects in robotics and automation.
