Machine Learning Scientist
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-06-10
Listing for:
Cambridge Quantum
Full Time
position Listed on 2026-06-10
Job specializations:
-
Software Development
Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
About the Role
Cambridge Quantum Computing is looking to hire a Machine Learning Scientist for its Machine Learning unit. The role involves applying state-of-the-art Machine Learning and specifically, Deep Learning techniques to financial time-series forecasting on diverse sources of data. The successful candidate will join the London office and will be working in a highly dynamic, research-focused group, teaming up with senior members of the team and reporting directly to the project head.
Responsibilities- Stay on par with the latest research literature in the ML field
- Analyse high resolution financial data to identify statistically significant trading patterns and extract predictive features.
- Train state-of-the‑art DL algorithms to learn profitable trading strategies.
- Prototype and implement new ML ideas in CQC’s proprietary R&D software platform.
- Deploy ML/DL strategies in the most competitive financial markets.
- A master’s degree in Machine Learning or Computational Statistics from a top‑tier University, or a degree in a quantitative discipline (Math, Physics, Computer Science) and relevant experience.
- Proficiency with Python 3 and its scientific/ML libraries such as Numpy
, Pandas
, Scikit‑Learn
, Tensorflow and Keras
. - Knowledge of Deep Learning fundamentals applied to a relevant domain (
Computer Vision
, Speech Recognition
, Natural Language Processing etc.). - A Passion for approaching complex problems with the goal to design and deliver novel practical solutions.
- A PhD in relevant discipline and a track record of scientific publications.
- Hands‑on experience in the development and deployment of ML systems gained in a commercial or research environment.
- Familiarity with time‑series processing and feature extraction (
particle filtering
, state‑space models
, wavelet transforms
, dimensionality reduction
, etc.). - Experience in collaborative software development and version‑control‑systems (
git
).
All candidates must be eligible to live and work in the UK.
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