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Technical Trainer - AI, Data Lakes & Data Warehousing

Computappoint
Posted 7 hours ago, valid for a month
Location

Portsmouth, Hampshire PO2 9JY

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The position is for a Technical Trainer in Data & AI Technologies with a salary of up to £60,000 based on candidate experience.
  • This is a permanent role that operates on a hybrid model, mostly remote with ad-hoc travel to London expected.
  • The ideal candidate will have a Bachelor’s or Master’s degree in Computer Science, Data Management, AI, or related fields, along with proven experience delivering technical training in the data-driven and AI space.
  • Key responsibilities include facilitating interactive training sessions, designing and developing training content, and adapting teaching methods to various technical levels.
  • The role requires strong technical knowledge of modern data architectures, including Starburst, Dell Data Lakes, and AI/ML fundamentals, and contributions to AI publications or community involvement are also preferred.

Data & AI Technologies - Technical Trainer

  • Salary: Up to £60,000 (Based on candidate experience)
  • Hybrid Model:  Mostly remote (ad-hoc travel to London expected)
  • Job Type: Permanent

About you:

You will have a hands-on technical training session covering Data-focused our AI & Data Practice, specializing in Starburst, Dell Data Lakes, and Data Warehousing solutions. You'll design and deliver training that enables clients to maximize value from modern data architectures and be adept at teaching complex concepts to a variety of learners while ensuring training content stays current with industry advancements.

About the client:

My client is a UK-based IT services and consulting company specializing in innovative cloud services, digital transformation, IT infrastructure, and managed services to help businesses optimize and modernize their IT operations using modern and forward-thinking technology solutions. Their work culture emphasizes collaboration, innovation, and delivery of value to clients, with a fast-paced and dynamic environment where you can take ownership of projects and work as part of a supportive team.

Key Responsibilities:

  • End-to-end facilitate Interactive Training Sessions: Lead both in-person and virtual sessions, guiding hands-on workshops and offering immediate feedback
  • Design and develop content, including creating hands-on training for Starburst, Dell Data Lakes, and Data Warehouse
  • Develop practical labs, case studies, and learning materials
  • Adapt teaching methods to different technical levels
  • Stay current with data technology advancements
  • Collaborate with AI & Data teams on training strategy

Qualifications:

  • Bachelor’s or Master’s in Computer Science, Data Management, AI, or related fields.
  • Proven experience delivering technical training on data-driven and AI space
  • Strong technical knowledge: modern data architectures, Starburst / Trino / Presto, Dell ECS / Data Lakes, and AI/ML fundamentals
  • Contributions to AI publications, conference talks, or active involvement in AI communities.

To be considered, please ensure you complete your application on the Computappoint website. Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.