Technical Trainer - ML And Gen AI

South Bank

7 months ago

Applications closed

Related Jobs

View all jobs

Graduate Data Analyst – London | Grayce

Graduate Finance Data Engineer

Graduate Data Analyst - Manchester

AI Trainer

Data Science Trainer

Machine Learning Engineer Trainer

Job Title: Technical Trainer - Machine Learning & Generative AI

Location: London, UK

Overview:

Are you passionate about AI and machine learning? We're looking for a highly skilled Technical Trainer in Machine Learning and Generative AI to join our team. In this role, you'll simplify complex AI concepts, design and deliver interactive training sessions, and keep our materials at the forefront of technology advancements. You'll work alongside our curriculum and technical teams, empowering learners to apply cutting-edge ML and generative AI techniques confidently.

Key Responsibilities:

Develop Training Materials: Create comprehensive modules on machine learning and generative AI, covering deep learning, GANs, transformers, diffusion models, and more. Tailor materials for all skill levels.

Lead Engaging Training Sessions: Conduct virtual and in-person workshops, seminars, and hands-on exercises that bring AI concepts to life and encourage collaboration and experimentation.

Customize Training to Client Needs: Work with clients to identify unique learning goals, adapting sessions for industry-specific relevance.

Stay Updated on AI/ML Trends: Continuously refresh training materials to incorporate the latest tools and techniques, including LLMs, multimodal AI, and transfer learning.

Assess Training Effectiveness: Develop tools to evaluate participant progress, using feedback to improve future training.

Qualifications:

Experience: Proven background in machine learning and generative AI.
Technical Expertise: Proficiency with Python, TensorFlow, PyTorch, GANs, VAEs, transformers, and cloud platforms (AWS, Google Cloud, Azure).
Communication & Analytical Skills: Strong communication skills and ability to adapt complex ideas for various audiences.
Preferred: Relevant certifications (e.g., TensorFlow Developer, AWS ML Specialty), contributions to open-source or AI publications.
Disclaimer:

This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission

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

Industry Insights

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

Jul 2, 2025

Careers

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Jun 29, 2025

Jobs

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Jun 24, 2025

Careers Jobs

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.