Machine Learning Engineer Trainer (Basé à London)

Job Title:ML Engineering Trainer

Location:Fully Remote

Job Type:Permanent

Role Overview:

FIND are working with a Global Data & AI Training/Education specialist who are looking to expand their Data Science Training team.

They're looking for AI & ML Engineering specialists interested in becoming Trainers/Educators to junior/apprentice ML Engineers

This role is ideal for someone who enjoys teaching, mentoring & developing the next generation of ML professionals, while staying engaged with all the current & latest AI technologies and best practices.

Key Responsibilities:

• Deliver high-quality, practical training sessions in Machine Learning and Artificial Intelligence Engineering.
• Facilitate both beginner and advanced-level content to AI / ML Engineers and Data Scientist 's working across a variety of companies & industries
• Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc)
• Incorporate cloud-based tools and services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments(Cloud Training can be provided to you)
• Keep training material up to date with current Data Science / AI / ML 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 development ecosystem.
• Solid understanding and ideally hands-on experience with core Machine Learning concepts.
• Specialisation or strong exposure to NLP, LLMs, Gen AI OR Deep Learning frameworks (one area is fine)
• Prior experience delivering training, mentoring, or leading workshops or lectures. ( Trainer / Instructor / Lecturer / Teacher Consultant / Coach / Mentor / Educator )
• Ability to explain complex topics clearly and adapt to different learning levels.

Desirables:

• Familiarity with modern MLOps practices, reproducibility, and collaborative workflows.
• Practical experience deploying or training models in cloud environments (AWS, GCP or Azure)

This is a fully remote working position & salary is £65,000, with the option to work 4 days a week.

Please get in touch for more info! Ryan.hammond@

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