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Fractile

Senior ML Compiler Engineer

London
Posted 6 months ago
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At Fractile, we’re taking a revolutionary approach to computing to run the world’s largest language models 100x faster than existing systems. Our fast-growing team is working at the cutting edge of the latest AI developments in both hardware and software. Want to get involved?

We are looking for Senior ML Compiler Engineers with experience in machine learning compilation to work on the compiler stack for our ground-breaking AI accelerators. You can be based in our Bristol office or London, the choice is yours.

In this role, you will:

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

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Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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  • Develop the machine learning compiler stack for Fractile’s innovative AI acceleration hardware
  • Enable industry-leading performance of the latest LLMs on Fractile’s accelerators
  • Work with hardware, driver runtime, and ML engineers in a highly collaborative hardware-software co-design methodology

It would be great if you have:

  • Proven experience of the development of machine learning compilers using industry standard technologies such as MLIR or TVM
  • Up-to-date knowledge of machine learning techniques and technologies
  • A good understanding of computer architecture and performance optimisation techniques
  • Excellent C/C++ skills and solid experience of industry standard development tools and technologies
  • An creative and innovative mindset, and a willingness to take ownership and drive results in a fast-paced environment
  • Computer Science, Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience

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Skills

Machine Learning
Compiler Development
MLIR
TVM
Computer Architecture
Performance Optimization
C/C++
Development Tools
Creative Mindset
Innovative Mindset
Ownership
Fast-Paced Environment

Location

London, England, United Kingdom

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