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Data Science Lead – CivEng | Machine Learning

Job Category: Data
Job Type: Permanent
Job Location: Remote
Salary: £85K - £100K

Job Description

Salary | £85K – £100K

This is a really exciting, newly-created role for a Data Science Lead; on behalf of a global civil engineering business that is a leading manufacturer within the heavy construction industry. As part of their R&D team, they are looking for a highly experienced Scientist with a CivEng background to build out, and lead their Machine Learning capability, including building a small team.

They are currently undergoing a technology transformation, developing and delivering their intelligent infrastructure capability through IoT, as part of a global mission to improve safety and save lives.

Initial tasks will include:

  • Defining AI Architecture.
  • Delivering a number of POC’s including, anomaly detection & fault identification products.
  • Build a small Data Science/ML team.

This is the ideal opportunity for a Data Scientist with extensive ML experience and a proven commercial background leading the delivery of projects to a successful conclusion.

We are keen to speak to candidates with expertise in some of the following areas:

AI/Scientific Machine Learning

  • Scientific ML projects with AEC (Architecture, Engineering & Construction) applications.
  • Proven code production and pipelining of SciML in AEC (Keras/Tensorflow/PyTorch, Scikit-learn, AutoML).
  • explainable AI/Robust AI (Computer Vision).
  • Strong knowledge of Digital Twin technology.
  • Experience with computer vision, including feeding it to ML.
  • Bayesian ML/Uncertainty Quantification.
  • Time Series ML.
  • Latent structure identification/GAN.
  • Streamline delivery of ML software and models.
  • Expediting continuous production of ML models at scale.

Civil Engineering

  • Civil/mechanical engineering.
  • Experience in design standards/codes; pipeline of structural design.
  • Monitoring and inspection + related standards/codes.

Keywords: Data Science Lead, Scientist, CivEng, Civil Engineering, Machine Learning, IoT, AI, Scientific Machine Learning, Architecture, PyTorch, Scikit-learn, AutoML, Robust AI, Mechanical Engineering.

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