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Machine Learning Engineer- London - Commodities

Job Title: Machine Learning Engineer- London - Commodities
Contract Type: Contract
Location: London, England
Industry: energy
Salary: £450 - £550 per annum
Start Date: ASAP
REF: BBBH16677_1507722887
Contact Name: Carl Ashdown
Job Published: 8 days ago

Job Description

Machine Learning Engineer is required to work with a global leader in commodities. The role sits within a newly formed team which provides analytical support from a big data perspective as well as the application of machine learning and statistical analysis to trading problems and strategies.

As a Machine Learning Engineer you will focus on the Gas, Power and LNG trading environment. A Large part of the role would be creating technical solutions to provide analytic support and models for trading as well as front-end/UI work. You'll work closely with the data strategists team on productive innovative solutions which will become part or larger initiatives. In addition, you will have significant Front Office exposure.

Key Accountabilities:

  • Create Python models and libraries based on requirements of analysts and data strategists in Gas, Power and LNG trading business
  • Significant contribution in building libraries of models and tools
  • Create effective visual solution using web technologies and presentation tools such as Tableau
  • Assist with innovative ideas for analytical models and tools
  • Work as part of a small highly technical global team of Core Strategists in close collaboration with data strategists, analysts, quant developers and traders.

Essential Criteria:

  • Expert Python language skills - pandas, numpy, Jupyter, flask
  • Ability to write production ready, highly reliable and tuned numerical code.
  • Good Javascript/Typescript skills - experience building web applications with cross-browser support
  • Knowledge of common JS libraries and frameworks (bower, toastr, react, bootstrap, etc)
  • Understanding and rigorous application of best practices in code development - unit/integration/regression testing, build/deploy patterns

Desirable Criteria:

  • Experience of SQL and HDFS
  • Knowledge of SciPy, scikit-learn, etc.
  • Experience with Spark/Scala
  • Knowledge of the Gas, Power and/or LNG market.