C

Cambridge Spark

Corporate and government AI education provider

Technical Trainer - AI Workflows & Automation

Full-TimeUpdated on 10/20/2026
No salary listed
Mid
Remote in UK
HybridMust be based in the UK and have the legal right to work there. Occasional travel to London and client sites or Cambridge Spark hubs is required.
TrainingCorporate & Technical Training

About the job

Requirements
  • Hands-on experience building and teaching automated workflows using platforms such as Power Automate, n8n, or Zapier, including connecting systems via application programming interfaces, 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.
  • A strong conceptual and practical understanding of how AI connects 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 the financial calculation of automation return on investment.
  • The ability to communicate complex technical architectures to non-technical operational business staff.
  • Must currently be based in the UK and hold the legal right to work there.
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, or Zapier integrated with enterprise large language model environments such as ChatGPT, Copilot, or 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 to deliver in-person workshops and intensive training days when requested.
  • Adapt instruction between remote and on-site delivery 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
  • Functional capability in Python scripting to guide advanced learners through custom developer integrations and basic data manipulation.
  • Familiarity with operationalising AI safely, including guardrail implementations, personally identifiable information filtering, human-in-the-loop design, Shadow AI mitigation, and Algorithmic Impact Assessments.
  • Practical knowledge of deploying digital and AI solutions within data privacy standards and GDPR compliance.
  • A formal teaching or training qualification such as PGCE or QTS, or substantial enterprise facilitation experience.

About the company

Cambridge Spark provides education technology that helps organizations and government bodies upgrade their workforce with digital transformation skills through professional programs like apprenticeships, bootcamps, and bespoke training. It uses the EDUKATE.AI learning platform to give personalized feedback on coding tasks and to simulate real-world industry environments, with courses delivered largely by a remote team and over 50 expert tutors from universities and data-driven organizations. The company differentiates itself by offering tailored education solutions that combine theoretical learning with hands-on practice, supported by a proprietary platform and a strong network of instructors. Its goal is to help organizations digitally transform by building practical AI and data science skills in their workforce.

Company Size

201-500

Company Stage

Grant

Total Funding

$20M

Headquarters

London, United Kingdom

Founded

2016

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Simplify's Take

What believers are saying

  • August 2026 apprenticeship rules expand fully funded under-25 AI and data training.
  • June 12 2026 NHS rollout links Cambridge Spark to a 500,000-person deployment.
  • April 14 2026 approval for a new AI Leadership Apprenticeship opens more enterprise demand.

What critics are saying

  • UK apprenticeship funding rules changed August 2026; band tightening can crush enrollments.
  • Revenue depends on a few UK employers; one procurement pause hits utilization fast.
  • Microsoft, OpenAI, and internal L&D teams commoditize AI literacy training by 2027.

What makes Cambridge Spark unique

  • EDUKATE.AI combines coding feedback, simulations, and real-world projects for enterprise learners.
  • Cambridge Spark owns UK-first AI Champion and AI Engineer apprenticeship formats, updated 2026.
  • It sells bespoke programs to Lloyds, Virgin Atlantic, M&S, and NHS teams.

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Benefits

  • Health Insurance
  • Wellness Program
  • Parental Leave
  • Paid Vacation
  • Paid Holidays
  • Professional Development Budget
  • Company Social Events
  • Mental Health Support

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

4%

2 year growth

7%
Cambridge Spark
May 4th, 2026
Cambridge Spark launches new AI research podcast hosted by CAIO, Jeremy Bradley.

Cambridge Spark launches new AI research podcast hosted by CAIO, Jeremy Bradley. Inside the Algorithm debuts on 6th May with an episode exploring how simulation, operational research and AI are reshaping NHS planning. LONDON, 4th May 2026 - Cambridge Spark, a leading provider of data and AI education and upskilling, today announced the launch of Inside the Algorithm, a new podcast hosted by Chief AI Officer Jeremy Bradley. The show launches on 6th May and will publish fortnightly alongside Cambridge Spark's flagship podcast, Data & AI Mastery, in the same feed. Where Data & AI Mastery explores AI transformation at the enterprise and C-suite levels, Inside the Algorithm shifts the lens into the scientific research, technical breakthroughs and academic thinking shaping the future of artificial intelligence. Each episode, Bradley sits down with leading researchers, data scientists and technical experts working at the frontier of the field to democratise access to frontier AI knowledge without diluting its intellectual integrity. The show is designed for an informed, technically ambitious audience, including AI researchers, advanced practitioners building and deploying sophisticated AI systems, and AI leaders seeking a deeper understanding of the science driving innovation in the field. The debut episode features Lucy Morgan, who leads the simulation team at the NHS Strategy Unit and holds a visiting research position in simulation and stochastic modelling at Lancaster University Management School. Morgan is a joint winner of the OR Society Doctoral Award 2019 and recipient of the 2025 KD Tocher Award for best paper in the Journal of Simulation. The conversation explores how operational research, simulation and AI are being combined to address some of the NHS's most complex planning challenges and what it really takes to make an analytical model work in the real world. Central to the discussion is Morgan's work developing a renal replacement therapy planning model, originally built with the Midlands Kidney Network, which is now being rolled out across NHS regions nationally with ambitions to become a UK-wide planning tool by 2029. The episode also examines Morgan's current research focus: model reuse and reproducibility, and specifically how AI could help standardise documentation and build the trust needed to deploy analytical models across new organisations at scale. About Inside the Algorithm Inside the Algorithm is a podcast produced by Cambridge Spark, hosted by Chief AI Officer Jeremy Bradley. New episodes publish fortnightly, alternating with Data & AI Mastery in the same podcast feed. The show is available on all major podcast platforms, including Spotify, Apple Podcasts and YouTube. | Listen and follow About Cambridge Spark Cambridge Spark is a leading provider of transformational data and AI education, upskilling and career development. Working with organisations across the UK and beyond, Cambridge Spark helps teams and individuals build the skills needed to harness the power of data and AI. Founded by Dr Raoul-Gabriel Urma, Cambridge Spark is headquartered in London. To keep up to date with upcoming industry changes, subscribe to its mailing list. For more information, please contact: Cambridge Spark Abigail Leachman, Head of Marketing Operations [email protected] Upskill your workforce. Upskill your workforce and accelerate your data transformation with expert technical programmes designed to create impact.

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Lloyds Bank is partnering with Cambridge Spark for a 6-month training program for senior leaders to boost their AI skills, with hands-on sessions along with real-world projects.

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Apr 22nd, 2025
PRESS RELEASE: Virgin Atlantic Becomes First Airline to Launch AI Champion Apprenticeship with Cambridge Spark

Cambridge Spark has recently launched the UK's first Level 6 AI Engineer apprenticeship, partnering with 27 organisations, and was named in The Sunday Times 100 Fastest-Growing Companies in 2024.

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