Machine Learning Engineer Trainer

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Client: FIND | Creating Futures
Location: bedford, United Kingdom
Job Category: Other
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EU work permit required: Yes
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Job Views: 4
Posted: 26.06.2025
Expiry Date: 10.08.2025
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Job Description: 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.
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.

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