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Machine learning engineer trainer

Woking
JR United Kingdom
Machine learning engineer
Posted: 29 June
Offer description

Job Title: ML Engineering Trainer

Location: Fully Remote

Job Type: Permanent

Role Overview:

FIND is collaborating with a global Data & AI Training/Education specialist seeking to expand their Data Science Training team.

They are looking for AI & ML Engineering specialists interested in becoming Trainers/Educators for junior/apprentice ML Engineers.

This role suits individuals who enjoy teaching, mentoring, and developing the next generation of ML professionals, while staying engaged with the latest AI technologies and best practices.

Key Responsibilities:

* Deliver high-quality, practical training sessions in Machine Learning and Artificial Intelligence Engineering.
* Facilitate content for both beginner and advanced levels to AI/ML Engineers and Data Scientists across various industries.
* Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
* Incorporate cloud-based tools (AWS, GCP, Azure) into training to simulate modern ML environments (cloud training can be provided).
* Keep training materials updated with current industry trends, tools, and techniques.
* Support learners with career development and technical confidence.

Required Skills & Experience:

* Strong coding experience in Python and the ML/AI ecosystem.
* Solid understanding and hands-on experience with core Machine Learning concepts.
* Specialization or significant exposure to NLP, LLMs, Gen AI, or Deep Learning frameworks.
* Experience in delivering training, mentoring, or leading workshops (Trainer, Instructor, Lecturer, Coach, Mentor, Educator).
* Ability to explain complex topics clearly and adapt to different learning levels.
* Familiarity with modern MLOps practices, reproducibility, and collaborative workflows.
* Practical experience deploying or training models in cloud environments (AWS, GCP, Azure).

This is a fully remote position offering a salary of £65,000, with an option to work 4 days a week.

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