AI Infrastructure Engineer

AI Infrastructure Engineer

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Join a pioneering AI startup and shape the future of robotics technology.
  • Company: Stealth AI startup with record-breaking funding 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 growth potential.
  • Why this job: Make a real impact in cutting-edge AI while collaborating with top experts.
  • Qualifications: Experience in AI infrastructure, PyTorch, and modern transformer architectures.

The predicted salary is between 60000 - 80000 £ 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 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.

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Contact Details:

LinuxRecruit Recruitment Team

We think you need these skills to ace AI Infrastructure Engineer

Distributed Training
AWS
Cluster Orchestration
Slurm
Kubernetes
PyTorch
Transformer Architectures