Apprentago Browse all opportunities
THALES UK LIMITED logo

2027 Ai Engineer Apprentice - Level 6 - Crawley

THALES UK LIMITED · South East · RH10 9HA

Apprenticeship Level 6 Engineering
Salary£24,000 yearly
LocationSouth East
PostcodeRH10 9HA
Start date6 Sep 2027
Apply by17 Feb 2027
QualificationMachine learning engineer (level 6)
Training providerqa limited
Job ID54044
View role on Apprentago

About the role

Machine Learning & AI Engineering Intern 🚀

Are you ready to dive into the cutting edge of technology? We're looking for ambitious and driven individuals to join our team as Machine Learning & AI Engineering Interns. This is your chance to gain hands-on experience shaping the future of AI!

What you'll be doing:

  • Data Explorer & Validator: You'll get to play with data, preparing and exploring it to uncover insights that will fuel our machine learning models. Think of yourself as a data detective! 🕵️‍♀️
  • Model Builder & Tester: Develop and evaluate the next generation of machine learning models and AI-powered software components. You'll be building and refining the brains of our projects. 🧠
  • Code Champion: Write clean, well-tested, and documented code using the latest engineering tools and best practices. Quality and maintainability are key! ✍️
  • Deployment Dynamo: Support the integration, deployment, and ongoing monitoring of our models, ensuring they perform at their peak. Keep the magic happening! ✨
  • Problem Solver Extraordinaire: Contribute to technical reviews, design experiments, and tackle complex challenges alongside our talented team. Bring your curiosity and critical thinking! 🤔
  • Team Player: Collaborate closely with experienced engineers and researchers on real-world projects, learning from the best in the field. 🤝

If you're passionate about AI, eager to learn, and ready to make an impact, we want to hear from you!

Key responsibilities

  • Preparing, exploring and validating data for machine learning use cases
  • Developing and evaluating machine learning models and AI-enabled software components
  • Writing clean, tested and documented code using appropriate engineering tools and practices
  • Supporting model integration, deployment, monitoring and performance improvement
  • Contributing to technical reviews, experiments and structured problem solving