Job 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.

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.

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.

What We Offer

Competitive compensation based on experience. Flexible scheduling and remote work options. Opportunity to shape the next generation of tech professionals. Supportive and innovative work environment.
Job Type: Part-time

Pay: 15.00 per hour

Work Location: Hybrid remote in Chelmsford CM1 1BD

Reference ID: WFT25 - TRAINER