IT Trainer – Data Science / Programming Languages at White Fire Technologies LTD
Chelmsford CM1 1BD, , United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

23 Nov, 25

Salary

15.0

Posted On

24 Aug, 25

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Software Development, Java, Data Science, Predictive Analytics, Artificial Intelligence, Machine Learning, Programming Languages, C++, Languages, Javascript

Industry

Information Technology/IT

Description

ABOUT US

White Fire Technologies is a fast-growing IT training company, committed to delivering high-quality, industry-relevant education to students and professionals. We specialise in empowering learners with cutting-edge skills in Data Science, Machine Learning & AI, Web Technologies, and Programming Languages. Our mission is simple – prepare our students for real-world success.

POSITION OVERVIEW

We are seeking experienced industry professionals to join our trainer team. You will bring your hands-on expertise into the classroom, delivering practical, engaging, and up-to-date training. Whether you are an expert in one domain or multiple, we want to hear from you.

AREAS OF EXPERTISE (APPLY IF YOU HAVE EXPERIENCE IN AT LEAST ONE):

  • Data Science, Machine Learning & Artificial Intelligence
  • Real-world applications of ML/AI, predictive analytics, and data modelling.
  • Tools and languages: Python, Java, C++, C#.
  • Programming Languages
  • Java, JavaScript, Python, C++, C#.
  • Writing clean, efficient code, software development best practices.

REQUIREMENTS

  • 1+ years of professional industry experience in your domain.
  • Strong technical knowledge and practical application skills.
  • Excellent communication and presentation abilities.
  • Previous teaching or mentoring experience is an advantage but not required.
Responsibilities
  • Deliver structured training sessions (in-person or online) based on industry needs.
  • Develop course content, hands-on exercises, and project-based learning modules.
  • Share professional insights and case studies from your own industry experience.
  • Provide mentoring, guidance, and feedback to students.
  • Keep training content aligned with the latest technologies and practices.
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