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Machine Learning Engineer, HPC Platform Architect
Job summary
A leading quantitative finance firm in Greater London is seeking a Machine Learning Engineer to join their ML and HPC Architecture team. In this role, you will collaborate with various teams to leverage cutting-edge machine learning technologies, evaluate accelerators, and optimize model performance. The ideal candidate will have a postgraduate degree in ML or related experience, strong engineering skills, and a passion for the latest ML trends. The firm offers highly competitive compensation, generous annual leave, and an excellent work/life balance.
Benefits
Qualifications
- A postgraduate degree or commercial experience in building ML models at scale.
- Strong object-oriented engineering skills and experience in Python, PyTorch, and NumPy are desirable.
- Ability to apply advanced optimisation methods and modern ML techniques.
Responsibilities
- Work with internal teams and external partners on machine learning initiatives.
- Design systems that drive high-impact research and support innovation.
- Evaluate alternative accelerators and optimise model inference for performance.
Skills
Education
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.