Machine Learning Engineer


Details:
  • Salary: £80,000 - 120,000 - Annum
  • Job Type: Permanent
  • Job Status: Full-Time
  • Salary Per: Annum
  • Location: London
  • Date: 4 days ago
Description:

Senior Machine Learning Engineer – Hardware Acceleration - £80k - £120k – London

Hexwired Recruitment is recruiting for a rapidly expanding Electronics manufacturer based in London now seeking a Senior Machine Learning Engineer with solid experience working on Hardware Acceleration platforms for ML models

The company have had a huge round of investment and are now seeking a Senior Machine Learning Engineer ideally with solid understanding of GPU’s, QPU’s or similar for Modelling and Simulation. You will be working with customers internationally utilising the latest technologies within Distributed systems. This is a Senior role and sole contributor within a well established team.

Due to the nature of the work, this is a hybrid role in Central London, within easy reach of Liverpool Street

Key Skills:

* Msc, PhD in Maths, Physics or a similar high Maths field

* 3+ years commercial or academic experience working on Machine Learning modelling and simulation projects

* Good experience working on ML assisted Hardware or Accelerator platforms like GPU’s and the associated tools (CUDA, Tensorflow etc)

* Solid experience using C++, Python or Rust for Development and Algorithm design

* Previous experience working on Low latency distributed systems using PCIe or similar is highly desirable.

The company are looking to offer circa £120k dependent on experience along with an excellent benefits package, options and the chance to work on a diverse range of products. If you’re interested in this Senior Machine Learning Engineer job in London , please apply.

For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Mechanical, Python, Operations, Fullstack, Javascript, Golang Development, Typescript, Hardware, Machine Learning, Electronics, FPGA, Data Science or Simulation contact us today

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