Machine Learning Engineer

Machine Learning Engineer Reading, England

Full Time Reading, England 21598 - 52221 GBP ANNUAL Today
Job description

Microsoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is cantered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us to achieve our mission.

To learn more about Microsoft’s mission, please visit:

From being able to log you in with face recognition, correct your gaze during a video chat to maintain eye contact, to the exciting new opportunities emerging from computers’ understanding of natural language, are you itching to play a part in bringing AI applications to millions?

The Microsoft Applied Sciences Group incubates disruptive technologies for Microsoft’s next-gen hardware products and is working on several exciting projects that will shape how computers and other devices perceive the user and the user’s environment. Operating as a startup within the company, this team works closely with several research and product teams to bring compelling new experiences to the market. A lot of these experiences will rely on a combination of cutting edge hardware and cloud technology. As part of this team, you will have the unique opportunity to develop novel software solutions for different platforms that will revolutionize how people use computers in the future.

We are looking for a Machine Learning Engineer to shape the implementation of large machine learning models into applications and APIs that are optimized for performance and accuracy. The nature of this rapidly evolving AI ecosystem provides new challenges on almost a daily basis, ranging from identifying bugs in ML frameworks such as ONNX to hardware-related issues with the CI system and evaluation of AI models. We expect you to be a hands-on engineer with excellent analytical skills and an intrinsic drive to overcome obstacles who will work closely with a diverse team to deliver high-quality, maintainable solutions in a fast-paced environment.


  • Hands on machine learning engineer which excellent analytical skills to debug and assist development of AI products.
  • Optimise AI models for efficient execution on custom NPU enabled devices.
  • Assist in identifying and addressing issues in ML frameworks and associated hardware.
  • Develop, maintain, and improve the CI/CD framework for large scale model testing, evaluation, and optimisation, and strong desire to automate.
  • Work on enhancing user experiences by improving the performance and accuracy of computer vision and machine learning models.
  • Collaborate with cross-functional teams across Microsoft and work towards shipping of robust AI solutions.


  • A Ph.D. in Computer Science, Math, Physics, Statistics, OR related areas OR a Master’s degree with relevant industry experience.
  • Semonstrable years of experience in deep learning and its different toolkits particularly Onnx, Pytorch or Tensorflow.
  • Experience of Python and C++ experience.
  • Experience with model conversion and optimization toolkits for different hardware platforms, in particular, Openvino, SNPE, VITIS, ONNX, QNN, NNCF.

Should have hands-on experience working on at least one of:
  • Experience in network architecture search, model quantization.
  • Experience with model profiling/analysis, dataset management, versioning, creating tools for system debugging.
  • Experience with model quantization frameworks like SNPE, OpenVino NNCF
  • Experience with ONNX execution providers like QNN for accelerated hardware execution on targeted chipsets.
  • Experience in working with Azure Machine Learning (AML) or similar cloud-based machine learning frameworks.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Machine Learning Engineer
Redmond, United States
Satya Nadella
$10+ billion (USD)
10000+ Employees
Company - Public
Computer Hardware Development
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