Machine Learning Engineer PhD Python R&D
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Machine Learning Engineer Cambridge / WfH to £50k
Machine Learning Engineer (PhD Python R&D) *Hybrid WfH*. Would you like to work on ground breaking "tech for good" AI technology whilst enjoying perks such as flexible working and paid for training and career development?
You could be joining a technology company within the smart home energy space and collaborating with a highly talented, multi-national team. As a Machine Learning Engineer you will utilise Machine Learning classification, regression and clustering techniques to help develop algorithms that analyse electricity data with a particular focus on electricity waveform data to create algorithm concepts and then code, test and evaluate them using Python. You will also be conducting new research and to propose new ideas using the collected data and applying algorithms to different markets.
You'll be joining an energetic, collaborative team based in Cambridge. The technology is being used for a range of "tech for good" purposes including allowing relatives to monitor elderly relatives in the home and control devices on their behalf.
Driven by technology this company is able to conduct a remote interview / onboarding process and work from home during the current social distancing measures; going forward you'll join the team in Cambridge around once a week.
Requirements:
You have a record of academic achievement within STEM subjects to PhD level
You have experience of applying Machine Learning techniques to novel problems and datasets
You're able to code using Python and ideally have experience with some of the following: Pandas, NumPy, Scikit-Learn and SciPy
You're able to conduct independent research, read and make use of academic papers
You have a good knowledge of anomaly detection, time series analysis and regression techniques
You're collaborative, enjoy problem solving and discussing ideas
As a Machine Learning Engineer you will earn a competitive salary (to £50k) plus benefits.
Apply now to find out more about this Machine Learning Engineer (PhD Python R&D) opportunity.