Graduate AI Integration Engineer, Machine Learning, COR7509

Corriculo Ltd
Warrington, United Kingdom
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
£ 37K

Job location

Warrington, United Kingdom

Tech stack

Artificial Intelligence
Corona (Software Development Kit)
Machine Learning
Information Technology

Job description

As a Graduate AI Integration Engineer, you'll support AI initiatives across the business, helping identify opportunities to apply machine learning, assist in the design and implementation of AI-driven solutions, and contribute to evolving our product with innovative AI capabilities. This is your chance to gain hands-on experience in a commercial environment at the forefront of AI adoption.

Requirements

Do you have experience in Machine learning?, Are you a bright, ambitious graduate eager to kickstart your career in AI and machine learning? Join a forward-thinking team where you'll explore how AI can transform products and processes, learning from real-world projects while making a tangible impact., * A degree in Computer Science, AI, Machine Learning, Data Science, or a related field

  • Interest in AI, machine learning, and modern software development practices
  • Curiosity and eagerness to learn about RAG (Retrieval-Augmented Generation) and other AI applications
  • Strong analytical skills and ability to work collaboratively in a team environment
  • Proactive mindset, ready to take on challenges and grow in a fast-paced, innovative setting

About the company

Our client is a leader in the manufacturing industry, committed to innovation and staying ahead of technology trends. They are actively exploring how AI can transform their product and processes, creating an environment where experimentation, practical application, and strategic impact go hand in hand. The team values curiosity, technical excellence, and personal growth. They actively invest in graduate talent, creating a culture where learning and experimentation are part of day-to-day work. This is a hybrid role based from their offices near Warrington, with three days a week onsite.

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