Machine Learning Research Engineer - High Frequency Trading Fund - C++ OR Java
- £75k - £100k + Exceptional Bonus and Benefits
- London, England, United Kingdom
- Permanent, Full time
- RLS Search
- 23 Sep 16
Machine Learning Research Engineer required to join top, global HFT Fund in London. Skills required: Significant Java OR C++, top-class academics and experience in Machine Learning / Deep Learning. Role is to build production trading applications and design, implement and run machine learning models in a complex and fast-paced High Frequency Trading environment. £100k + exceptional bonus and benefits package
There is a new role with a top, global High Frequency Trading Fund in London, looking for a Machine Learning Research Engineer to join their Front Office team.
You will be responsible for building production trading applications and defining, implementing and running machine learning models in a complex, fast-paced, iterative trading environment. The technical requirements are significant Java OR C++ experience and strong experience in Machine Learning. Any wider knowledge of Python or KDB is preferred.
The Fund are at the forefront of cutting-edge technology and adaptive learning, building deeply automated systems using some of the most advanced deep learning lechniques in the world.
This is a unique opportunity to work in a world-class company and team, where appreciation and brilliance is expected.
You must have the following credentials to be considered:
- Top class degree in Computer Science, Engineering or relevant field. PhD would be advantageous
- Experience wirth Machine Learning, ideally Deep Learning
- Talented programmer, significant Java or C++
- Experience building real-world machine learning applications
- KDB, Python or Unix
- Tensorflow, Scikit-Learn, Teano
- HPC/GPU experience
Base salary is negotiable to £100k + exceptional bonus and benefits package.