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Cambridge Spark

Corporate and government AI education provider

Technical Trainer - AI Workflows & Automation

Corporate & Technical TrainingConfirmed live in the last 24 hours
Full-timeRemote in UKNo salary listed

About the Job

Requirements

  • Hands-on experience building and teaching automated workflows with platforms such as Power Automate, n8n, or Zapier, including connecting systems via APIs, webhooks, and JSON data parsing.
  • Mastery of enterprise generative AI interfaces, advanced prompt engineering workflows including multi-shot prompting, prompt chaining, and structured outputs, and the Google Workspace/Studio or Microsoft 365 AI developer ecosystems.
  • Strong conceptual and practical understanding of AI connections to organisational data, including vector search spaces, context windows, chunking strategies, and retrieval-augmented generation architectures.
  • Proven capability to teach or apply process mapping, value stream re-engineering, and financial calculation of automation return on investment.
  • Ability to translate complex technical architectures for non-technical operational business staff.
  • Familiarity with Python scripting to guide advanced learners through custom developer integrations and basic data manipulation is desirable.
  • Familiarity with operationalising AI safely, including guardrail implementations, personally identifiable information filtering, human-in-the-loop design, Shadow AI mitigation, and Algorithmic Impact Assessments is desirable.
  • Practical knowledge of deploying digital and AI solutions within data privacy standards and General Data Protection Regulation compliance is desirable.

Responsibilities

  • Deliver the Level 4 AI Workflow Specialist curriculum end-to-end alongside core modules of broader digital and data literacy pathways.
  • Deliver hands-on workshops enabling learners to build and deploy practical AI workflows using low-code engines such as Power Automate, n8n, and Zapier integrated with enterprise large language model environments such as ChatGPT, Copilot, and Gemini.
  • Facilitate technical deep dives covering system prompts, prompt chaining, agentic AI design patterns such as ReAct, retrieval-augmented generation, and corporate knowledge architectures.
  • Teach learners about AI economics, process optimisation, value stream mapping, and tracking, calculating, and reporting sustained return on investment from automations.
  • Facilitate interactive training sessions via virtual platforms and travel to client sites or designated Cambridge Spark hubs for requested face-to-face workshops and intensive training days.
  • Adapt delivery between remote instruction and on-site environments.
  • Partner with Product Managers to provide technical feedback on curriculum resources, labs, and self-directed learning paths.
  • Refine learning activities, build practical automation scenarios, and keep tool-stack materials updated with industry changes.
  • Implement quality processes and standardisation tasks defined and owned by the Quality Team.
  • Maintain technical expertise across generative AI tools, low-code frameworks, data structures, and workplace adoption patterns.

Desired Qualifications

  • A formal teaching or training qualification such as PGCE, QTS, or equivalent, or substantial enterprise facilitation experience.

About the Company

Cambridge Spark

Corporate and government AI education provider

Cambridge Spark delivers education technology for digital transformation, helping corporate and government clients upskill their workforce in AI and data science. Its programs include apprenticeships, skills bootcamps, and bespoke training delivered via its EDUKATE.AI platform, which gives personalized feedback on coding tasks and simulates real-world industry environments. A largely remote team supports a network of over 50 expert tutors from top universities and data-driven organizations. The company differentiates itself by offering tailored, practice-focused training that combines theory with hands-on practice through a proprietary platform. Its goal is to enable organizations to digitally transform by building practical AI and data science skills.

Company size
201-500
Company stage
Grant
Total funding
$20M
Headquarters
London, United Kingdom
Founded
2016

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