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

Apply Now

Technical Trainer

West End
7 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Research Engineer (Foundational Research)

Senior Data Analyst

Machine Learning Research Engineer (Foundational Research)...

Senior Data Engineer

Data Scientist

Principal Data Engineer

Technical Trainer

London

Permanent

£60,000

ARM are delighted to be supporting one of our clients with the recruitment of a Technical Trainer on a permanent basis.

We are seeking a Technical Trainer to lead impactful training programs across cutting-edge technologies, with a strong focus on Starburst, Dell Data Lake solutions, and Data Warehousing frameworks.

Responsibilities:

Design and develop high-quality training programs focused on Starburst, Dell Data Lakes, and Data Warehousing architectures.
Create engaging, hands-on materials such as labs, case studies, presentations, learning content that support enterprise data analytics adoption.
Ensure training material is tailored to a wide range of audiences, from data engineers to business analysts.
Deliver live, virtual, and hybrid training sessions that promote hands-on exploration of Starburst and Data Lake environments.
Tailor instructional methods to suit technical and non-technical audiences; apply real-world scenarios from data warehouse modernization and lakehouse integration.
Develop effective assessment tools to measure understanding and application of training content.
Use feedback and learner analytics to refine future training experiences and drive continuous improvement.

Requirements:

Proven experience designing and delivering technical training, ideally within a software vendor, data platform provider, or cloud services organization.
Strong knowledge of data engineering, AI/ML fundamentals, and data platform architecture.
Experience with or exposure to Starburst, Dell Data Lakes, and Data Warehousing technologies (e.g., Snowflake, Redshift, BigQuery).
Excellent communication and presentation skills, capable of breaking down complex topics into actionable insights.
Organized, adaptable, and confident delivering training across time zones and cultures.
Willingness to travel occasionally to client sites or training hubs

This vacancy is being advertised by Advanced Resource Managers. 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.

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.

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.