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Cambridge Spark

Technical Trainer (AI Workflows & Automation)

Remote
Posted about 2 months ago
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Department: Product & Tech

Location: Home based, UK (with occasional travel to London office)
Reports to: Training Delivery Team Lead
Hours: 37.5 per week
Salary: (Depending on experience)

Role Overview

Cambridge Spark is looking for a Technical Trainer to deliver our gold-standard AI and digital transformation programmes, with a primary focus on our Level 4 AI Workflow Specialist (AIWS) pathway, alongside supporting our existing education programmes and apprenticeship products.

You’ll lead practical, hands-on workshops that empower professionals to safely embed automation, low-code/no-code solutions, and advanced AI workflows into their day-to-day business operations. Working across funded apprenticeships and corporate training, you’ll ensure that programmes meet high standards for learner engagement, applied workplace impact, and real-world relevance.

Our L4 AIWS product is specifically designed for business professionals rather than deep software developers, meaning your training will emphasise applied GenAI use, Google Workspace Studio automations, business analysis for AI, and driving organisational productivity.

Key responsibilities:

High-Impact Training Delivery:

  • AIWS & Core Data Instruction: Deliver (end-to-end) the Level 4 AI Workflow Specialist curriculum alongside core modules of our broader digital and data literacy pathways.
  • Workflow Automation & AI Tools: Deliver engaging, hands-on workshops enabling learners to build and deploy practical AI workflows using modern low-code engines (e.g., Power Automate, n8n, Zapier) integrated with enterprise LLM environments (ChatGPT, Copilot, Gemini).
  • Advanced Context Engineering & RAG: Facilitate technical deep dives covering system prompts, prompt chaining, Agentic AI design patterns (such as ReAct), Retrieval-Augmented Generation (RAG), and corporate knowledge architectures.
  • Applied Business Transformation: Instruct learners on AI economics, process optimisation, value stream mapping, and how to track, calculate, and report sustained ROI from automations.

Flexible Delivery & Travel Expectations:

  • Remote-First Delivery: Facilitate high-quality, interactive training sessions via virtual platforms, which represents the majority of our delivery model.
  • On-Site Travel: Travel to client sites or designated Cambridge Spark hubs to deliver face-to-face workshops and intensive training days during instances where in-person delivery is requested.
  • Adaptability: Maintain the pedagogical flexibility required to seamlessly pivot between remote instruction and on-site delivery environments.

Curriculum & Resource Alignment:

  • Content Collaboration: Partner with Product Managers to provide technical feedback on curriculum resources, labs, and self-directed learning paths.
  • Content Development: Utilise allocated time effectively to refine learning activities, build practical automation scenarios, and keep tool-stack materials updated with fast-moving industry changes.

Quality & Technical Excellence:

  • Standards & Quality: Implement quality processes and standardisation tasks as defined and owned by the Quality Team.
  • Continuous Learning: Maintain technical expertise across fast-moving GenAI tools, low-code frameworks, data structures, and workplace adoption patterns.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Candidate Specification

Essential Criteria:

  • Low-Code & Workflow Automation Mastery: Hands-on experience building and teaching automated workflows using platforms such as Power Automate, n8n, or Zapier, including connecting systems via APIs, webhooks, and JSON data parsing.
  • Enterprise GenAI Proficiency: Mastery of enterprise GenAI interfaces, advanced prompt engineering workflows (including multi-shot, prompt chaining, and structured outputs), and the Google Workspace/Studio or Microsoft 365 AI developer ecosystems.
  • AI Knowledge Architectures: A strong conceptual and practical understanding of how AI connects to organisational data, including vector search spaces, context windows, chunking strategies, and RAG architectures.
  • Business Analysis & ROI Tracking: Proven capability to teach or apply process mapping, value stream re-engineering, and the financial calculation of automation ROI.
  • Communication & Facilitation: Exceptional communication skills with the ability to act as a "translator" between complex technical architectures and non-technical operational business staff.

Desirable Criteria:

  • Scripting & Custom Integrations: Functional capability in Python scripting to guide advanced learners through custom developer integrations and basic data manipulation.
  • LLMOps, Safety & Governance: Familiarity with operationalising AI safely, including guardrail implementations, PII filtering, human-in-the-loop design, Shadow AI mitigation, and Algorithmic Impact Assessments.
  • Compliance Frameworks: Practical knowledge of deploying digital and AI solutions safely within the boundaries of data privacy standards and GDPR compliance.
  • Qualifications: A formal teaching or training qualification (PGCE, QTS, or equivalent), or substantial enterprise facilitation experience.

Company Benefits:

  • Pension with 4% matched contributions, opportunity to opt into salary sacrifice scheme
  • 25 days holiday + Flexi bank holidays + 1 day off on your birthday
  • A day for volunteering
  • Enhanced Maternity and Paternity Leave
  • Health & Wellbeing allowance of up to £30 per month
  • Annual Summer and Xmas events
  • Company socials including everything from Cambridge College formals, pub nights to team building events
  • CPD Allowance alongside quarterly reflections to ring fence time for development and growth
  • Private medical insurance and cash plan
  • Holiday buy back scheme (up to 10 days p/a)
  • Employee Assistance Programme with a dedicated company counsellor

Background to our Organisation

We are an education technology company that enables corporate and government organisations to achieve their business goals by educating their workforce with critical digital transformation skills to succeed in the AI era.

We deliver unique and innovative professional education that is accelerating the digital transformation of our clients, advancing the careers of their employees, helping people get into work and closing the digital skills gap. We are in a sector that is crucial to the economy and workforce, with a lot of opportunity for change and innovation. We are at the cutting edge of teaching applied data and digital skills, with our unique patented learning platform EDUKATE.AI offering our clients and learners a unique learning experience. EDUKATE.AI was developed with support from Innovate UK and provides all of our learners with 24/7 immediate feedback on their work, helping accelerate the learning process and providing a sandbox environment to experiment on real world datasets.

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Since 2016, we have supported more than 15,000 learners across four continents with nearly 550,000 pieces of code submitted for feedback on EDUKATE.AI. We are trusted by some of the most recognisable brands in the world to educate their workforce, including Microsoft, the NHS, GSK, easyJet, the BBC and John Lewis. Our focus on applied learning to create business impact sets us apart - individual learners have reported applying their skills at work to generate recorded value of up to £40m.

Our Values

At the centre of the way we work together and inspire each other to achieve success are these core values:

  • Entrepreneurial: We take initiative and show entrepreneurial spirit which fuels innovation at Cambridge Spark. This includes identifying opportunities for improvement, taking ownership for implementing solutions effectively and driving improvement by using proof of concepts to demonstrate the feasibility and value of their work.
  • Team Spirit: Everyone is part of building an open and transparent culture, communicating effectively to raise issues, discuss improvements and share the evidence used to make decisions.
  • Customer-focused: Our customers are at the centre of everything we do, inspiring us to create great work. We strive to build friendly, professional and lasting relationships with them to better understand and anticipate their needs.
  • Gold Standard: We are experts in our field and are constantly developing our technology and offering. We set the benchmark in our industry: both in what we offer customers and in how we deliver it.

Cambridge Spark is an Equal Opportunities Employer and prohibits discrimination and harassment of any kind. Cambridge Spark is committed to the principle of equal employment opportunities for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Cambridge Spark are based on business needs, job requirements and individual qualifications, without regard to race, colour or ethnicity, ability or disability, gender or gender reassignment, sexual orientation, marital status, religion, age or any other status protected by the laws or regulations in the locations where we operate. Cambridge Spark will not tolerate discrimination or harassment based on any of these characteristics. Cambridge Spark encourages applicants of all ages.

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Skills

Low-Code Automation
Workflow Automation
AI Workflows
Business Analysis
ROI Tracking
Communication
Facilitation
GenAI Proficiency
Python Scripting
Data Privacy
GDPR Compliance
Process Mapping
Value Stream Mapping
Prompt Engineering
Automation Tools
Training Delivery

Location

United Kingdom

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