Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Technical Trainer - ML And Gen AI

ARM (Advanced Resource Managers)
London
1 year ago
Applications closed

Related Jobs

View all jobs

Forward Deployed Data Scientist

Senior Data Analyst

Data Engineer

Senior Data Analyst

Senior Data Analyst

Machine Learning Research Engineer (Foundational Research)

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 (eg, 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.

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

Industry Insights

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

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.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.