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Machine Learning Graduate Internship

The host business is a World-leader in a range of services that support engineering design and building projects. They are looking to add a dynamic graduate with Machine Learning knowledge to their team. This is an opportunity to work for a global technology company that is committed to innovation. You will work with a strong and talented team in a challenging environment.

You will be supporting development of value added services through analysis of environmental forcing data (winds, waves, currents) and/or structural responses, as part of the Global R&D programme.

The successful developer will work in an agile environment. The role will include the following activities, and there will be support and development from experienced team members:

  • Design and implement solutions against user stories through distillation into work tasks that deliver production quality Data Science.
  • Test driven development within sprints.
  • Communication within local teams and with the wider development network.

Position requirements:

  • Knowledge and experience in data analytics and Machine Learning .
  • Practised at identifying and applying optimal Machine Learning techniques for solving complex problems within different data domains (Support Vector Machine[SVM], Decision Trees, Naïve Bayes, PCA, Clustering, model validation, classification vs regression, cross-validation)
  • Versatility to work with different service teams to translate needs into Data Science projects.
  • A Machine Learning related degree.

You will be based south of Oxford, but occasional travel to other offices may be required.

The role is for a 3-month project to work with a domain specialist and software team leader to deliver Machine Learning functionality to production system. There is the potential for a permanent role if successful- this would carry a higher salary / package.

*** Please note the deadlines on our advertising are for guidance only. Interested parties should apply at your earliest convenience.***

Remember to mention TARGETjobs when contacting employers!