Generative AI Instructor

Jellyfish
London
11 months ago
Applications closed

Related Jobs

View all jobs

Lecturer in Computing (HE) (Data Science and AI)

Technical Trainer – Vision AI / Computer Vision

Technical Trainer – Vision AI / Computer Vision

Technical Trainer – Vision AI / Computer Vision

Technical Trainer – Vision AI / Computer Vision

Technical Trainer – Vision AI / Computer Vision

Job Description

Jellyfish Training is a forward-thinking training organization focused on delivering high-quality education in emerging technologies. We are seeking a Technical Instructor with deep expertise in Generative AI to teach courses on various generative AI topics and tools. This is a fantastic opportunity for an instructor who is passionate about artificial intelligence and eager to share knowledge on cutting-edge tools and models like GPT, DALL·E, and others.

As a Generative AI Technical Instructor, you will design and deliver hands-on, technical training on topics such as text generation, image and audio generation, AI for code, and generative design. You will guide learners through the use of popular generative AI tools and help them master the concepts, methodologies, and applications that are shaping industries.

Responsibilities

 

  • Course Delivery: Deliver dynamic, engaging, and effective training sessions on generative AI topics, including but not limited to text generation, image generation, music and audio creation, code generation, and design tools.
  • Hands-On Learning: Provide real-world examples and interactive labs that enable students to work with tools like OpenAI GPT (ChatGPT), DALL·E, MidJourney, GitHub Copilot, Runway ML, and others to generate content, code, and creative media.
  • Curriculum Development: Work with instructional design teams to develop and update curriculum that incorporates both foundational AI knowledge and practical, hands-on experience with generative AI tools.
  • Assessments & Feedback: Create assessments, quizzes, and coding challenges to evaluate learner progress, and provide constructive feedback to help students refine their skills.
  • Mentorship & Support: Offer personalized guidance and support to students, providing expert troubleshooting and advice on project work using generative AI tools like Google Gemini, Claude, and Hugging Face.
  • Stay Current: Keep up-to-date with the latest advancements in generative AI, incorporating emerging tools and techniques into course offerings.
  • Collaborate with Teams: Work closely with the sales team to support the development of opportunities and the marketing team to ensure that training materials align with industry needs and learner expectations.


Qualifications

  • Has a good knowledge of how Generative AI can be used for digital marketing applications, and is comfortable learning and talking about tools that are used in this space.
  • Technical Expertise: Strong working knowledge of generative AI tools
  • Hands-On Experience: Practical experience using generative AI tools for creating content, coding, designing, or developing AI-based solutions.
  • Teaching/Instruction Experience: Proven ability to explain complex technical concepts to diverse audiences.
  • Strong Communication Skills: Ability to effectively explain advanced AI concepts in an accessible and engaging manner, both in person and in remote settings.
  • Educational Background: A degree in Computer Science, Data Science, AI, Machine Learning, or a related field. Certifications or training in AI/ML are a plus.
  • Problem-Solving Abilities: Ability to troubleshoot issues students may encounter while using generative AI tools and provide clear, actionable solutions.
  • Adaptability: Willingness to continuously update course content as new generative AI tools and techniques emerge in the field.
  •  
  • Advantageous
  • Experience with online learning platforms and tools (e.g., Zoom, Google Meet, etc.).
  • Comfortable teaching across different modalities, including live virtual courses, pre-recorded content, and self-paced modules.
  • Flexible with working across different time zones and travel where required.



Additional Information

Join Jellyfish and experience a workplace where we prioritise your growth, celebrate your contributions, and empower you to tailor your work environment to suit your needs.

Custom Work Environment: Work remotely for up to 60% of your days and shape your day between 8am. and 6:30pm with flexible working hours.

Growth, Your Way: Grow your career with one paid day each month for self-development and access to LinkedIn Learningwith unlimited online courses.

Family Support: Enjoy 14 weeks of paid leave for primary caregivers and 4 weeks of paid leave for secondary caregivers. We also provide £1000 (or equivalent) towards courses for returning primary caregivers to support your transition back into work.

 

Unfortunately, there has been an increase in fake recruiters impersonating Jellyfish and unlawfully using our brand name. If you are unsure if an email with a job offer you have received is genuinely from Jellyfish, or if you suspect any fraudulent activity, please report it to.

#LI-Hybrid

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.