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Machine Learning and Artificial Intelligence Internship

78% Flex

EXTRA HOLIDAYS - EXTRA PARENTAL LEAVE

Remote:

Full Remote

Contract:

Full time

Experience:

Entry-level / graduate

Work from:

United Kingdom

Offer summary

Qualifications:

Postgraduate degree in Mathematics, Statistics, Machine Learning or Data Science., Experience in developing Machine Learning and Neural Network models., Experience with PyTorch or Keras, strong Python programming skills..

Key responsabilities:

Study machine learning techniques for engineering applications.
Conduct methods reviews to improve regression and classification modeling capabilities.
Develop tools and processes, collaborate with team members and academic partners.

GE Vernova Machinery XLarge https://www.gevernova.com/

10001 Employees

See more GE Vernova offers

Job description

Your missions

Job Description Summary

We are opening a new 12 months fixed term position for a postgraduate internship in the area of Machine Learning and Artificial Intelligence.

Job Description

About Us

GE Vernova is a multi-national organisation, employing over 80,000 people worldwide.

In the GE Vernova Gas Power Analytics & Digital engineering team, based in Rugby, we are constantly evaluating methods and algorithms that offer the opportunity to improve the efficiency and effectiveness of our engineering design and analysis tools and processes. Our main area of interest is automation and optimisation of engineering design processes.

We enjoy a multi-cultural working life at GE Vernova, and promote a friendly and productive working environment.

About the Work

We require for a Machine Learning and Artificial Intelligence intern. This role will include the study of machine learning techniques for our engineering applications, under the direction of our team members. The scope of work is expected to be, but not limited to

Perform literature search on mathematical and statistical modelling, Machine Learning & Artificial Intelligence.
Methods development
- The candidate is expected to perform methods reviews to improve the current regression and classification modelling capabilities already implemented in our in-house tool.
- Develop tools and processes, working in collaboration with our team members and external academic partners.
Methods application
- Support of application of relevant methods to various engineering projects

Requirement

Postgraduate degree in Mathematics, Statistics, Machine Learning or Data Science.
Experience in developing Machine Learning and Neural Network models.
Experience with deep learning framework such as PyTorch or Keras.
Strong Python programming skills.
Good communication skills.
Good, adaptable team worker, eager to learn and develop.
Ability and confidence to work independently.
Existing visa/permit to work in UK.

Miscellaneous

Starting date: November 2024
Duration: Up to 12 months
Location: Work will be based at GE Vernova Power, Rugby, Warwickshire. CV21 1BD (remote working will be an option).
Working hours: 37.5 hours per week
Holiday: 2 days per month
Payment: Based on GE internship salary scale