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
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
