Artificial Intelligence And Machine Learning Graduate

AVEVA

Cambridge, United Kingdom
Not specified; not specified; flexible benefits fu...
Hybrid (3 days a week in office)
Machine learning concepts understanding
Object-oriented programming principles
Statistics and linear algebra knowledge
AVEVA is seeking Artificial Intelligence and Machine Learning graduates for its Early Careers Recruitment program, starting in September 2026, located in Cambridge, UK. The role involves collaborating with a global team to develop and implement AI capabilities within their diverse software portfolio aimed at industrial automation

Job Summary

  • Join a global team of over 2000 developers working on diverse industrial automation and engineering products with AI at the center of their strategy.
  • You will collaborate with architects and domain experts to design, develop, and implement innovative AI capabilities into AVEVA solutions.
  • The role offers a hybrid work model requiring three days in the Cambridge office per week alongside comprehensive benefits including 28 days annual leave.

Matching Summary

Match Score: 85

AVEVA is seeking Artificial Intelligence and Machine Learning graduates for its Early Careers Recruitment program, starting in September 2026, located in Cambridge, UK. The role involves collaborating with a global team to develop and implement AI capabilities within their diverse software portfolio aimed at industrial automation.

Salary

Not specified; Not specified; Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave plus bank holidays, pension, life cover, private medical insurance, parental leave, education assistance program

Skills & Requirements

Must-have

  • Machine Learning concepts understanding
  • Object-oriented programming principles
  • Statistics and Linear Algebra knowledge
  • Computer Vision concepts
  • Python and Jupyter Notebooks experience
  • Scikit-Learn Keras TensorFlow packages

Nice-to-have

  • Prior internship in software development
  • Version control experience
  • Time management and prioritization skills
  • Passion for reliable and performant software
  • Enjoyment of troubleshooting sticky problems

Key Requirements

  • Graduate level qualification or equivalent
  • Understanding of data bias and class imbalance
  • Hands-on experience with ML packages

Work Rights

Not specified

Tailored Resume

Cover Letter