Senior Build Engineer—ML Software Stack & Tooling

Senior Build Engineer—ML Software Stack & Tooling

Full-Time 63000 - 77000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Enhance build, test, and deployment of ML software components in a collaborative environment.
  • Company: Join Graphcore, a leader in AI technology with a focus on innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team driving the future of AI technology.
  • Why this job: Make a real impact on cutting-edge ML software and work with top-tier teams.
  • Qualifications: Experience in build engineering and knowledge of HPC AI platforms.

The predicted salary is between 63000 - 77000 £ per year.

Graphcore seeks to scale and manage its Software Infrastructure, developing essential tools and services that empower the broader software team.

You will enhance build, test, deployment, and productisation of ML Software components, working with HPC AI platforms and distributed systems.

You will join a new Build Engineering function within Software Operations, collaborating with QA and development teams to ensure reproducible, secure builds and effective release processes.

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Senior Build Engineer—ML Software Stack & Tooling employer: graphcore

Graphcore is an exceptional employer, offering a vibrant work culture that fosters continuous learning and innovation in the heart of London. With a commitment to inclusivity and employee well-being, we provide flexible working arrangements, comprehensive benefits including private medical insurance and generous parental leave, and opportunities for professional growth within a cutting-edge AI environment. Join us to be part of a transformative journey in AI technology, where your contributions will directly impact the future of intelligent computing.

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Contact Details:

graphcore Recruitment Team

We think you need these skills to ace Senior Build Engineer—ML Software Stack & Tooling

Build Engineering
Software Infrastructure Management
ML Software Development
HPC AI Platforms
Distributed Systems
Collaboration with QA Teams
Reproducible Builds