Cambridge Spark
AI Trainer

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AI Trainer
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)
About the Role
Cambridge Spark is looking for an AI Trainer to deliver our industry-leading AI and digital transformation programmes. With a primary focus on the Level 4 AI Workflow Specialist (AIWS) pathway, you’ll support our existing education programmes and apprenticeship products.
You’ll lead practical, hands-on workshops that empower professionals to integrate technology such as automation, low-code/no-code solutions, and advanced AI workflows into their daily workflows. Working across funded apprenticeships and corporate training, you’ll ensure programmes adhere to high standards for learner engagement, applied workplace impact, and real-world relevance.
Our L4 AIWS product is tailored specifically for business professionals, not deep software developers. This means your training will stress 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 the end-to-end Level 4 AI Workflow Specialist curriculum and its supporting digital and data literacy modules.
- Workflow Automation & AI Tools
- Facilitate engaging workshops in which learners can build and deploy practical AI workflows using modern low-code engines such as Power Automate, n8n, and Zapier, integrated with enterprise LLM environments like ChatGPT, Copilot, and Gemini.
- Advanced Context Engineering & RAG
- Conduct technical deep dives into system prompts, prompt chaining, Agentic AI design patterns (e.g., ReAct), Retrieval-Augmented Generation (RAG), and corporate knowledge architectures.
- Applied Business Transformation
- Educate learners on AI economics, process optimisation, value stream mapping, ROI tracking, and calculating sustained cost benefits from automation.
Flexible Delivery & Travel Expectations
- Remote-First Delivery
- Design and deliver high-quality, interactive training sessions virtually, as this forms the majority of our delivery model.
- On-Site Travel
- Travel to client sites or Cambridge Spark hubs to deliver face-to-face workshops and intensive training days when needed.
- Adaptability
- Maintain the ability to seamlessly transition between remote instruction and on-site delivery, ensuring consistent pedagogical outcomes.
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.
Start with a chat, not a search bar
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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
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.
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.
Curriculum & Resource Alignment
- Content Collaboration
- Partner with Product Managers to provide technical feedback on curriculum resources, labs, and self-directed learning paths.
- Content Development
- Invest allocated time into refining learning activities, building practical automation scenarios, and updating tool-stack materials to reflect industry evolutions.
Quality & Technical Excellence
- Standards & Quality
- Implement quality processes and standardisation tasks defined by the Quality Team.
- Continuous Learning
- Sustain technical expertise across emerging GenAI tools, low-code frameworks, data structures, and trends in workplace adoption patterns.
Qualifications
Essential Criteria:
- Low-Code & Workflow Automation Mastery
- Hands-on experience building and teaching automated workflows using frameworks like Power Automate, n8n, or Zapier.
- Proven ability to connect systems via APIs, webhooks, and JSON data parsing.
- Enterprise GenAI Proficiency
- Mastery of enterprise GenAI interfaces, advanced prompt engineering (e.g., multi-shot prompting, prompt chaining, and structured outputs).
- Experience with Google Workspace Studio or Microsoft 365 AI developer ecosystems.
- AI Knowledge Architectures
- Deep conceptual and practical understanding of enterprise knowledge integration, including vector search, context windows, chunking strategies, and RAG architectures.
- Business Analysis & ROI Tracking
- Ability to teach or apply process mapping, value stream re-engineering, and financial calculation of automation ROI.
- Communication & Facilitation
- Exceptional communication skills to translate complex technical architectures into accessible language for non-technical staff.
- Teaching Certification (or equivalent)
- A formal teaching/training qualification (e.g., PGCE, QTS) or substantial experience in enterprise facilitation.
Desirable Criteria:
- Scripting
- Functional capability in Python scripting for advanced automation customisations and data manipulation tasks.
- LLMOps, Safety & Governance
- Knowledge of AI safety operationalisation, such as guardrail implementations, PII filtering, human-in-the-loop design, Shadow AI mitigation, and Algorithmic Impact Assessments.
- Compliance Frameworks
- Hands-on experience in deploying digital/AI solutions within GDPR and data privacy standards.
Benefits
- Pension: 4% matched contributions, opportunity to opt into a salary sacrifice scheme
- Leave: 25 days annual holiday + flexible bank holidays + one day off per birthday
- Volunteering: Dedicated day for volunteering
- Maternity/Paternity Leave: Enhanced support
- Wellbeing Allowance: £30/month
- Company Social: Annual summer and Christmas events, plus socials like Cambridge College formals, pub nights, and team-building events
- Professional Development: CPD allowance with quarterly reflections for personal growth
- Insurance & Wellbeing: Private medical insurance, cash plan, and Employee Assistance Programme
- Holiday Flexibility: Holiday buyback scheme (up to 10 days/year)


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About Cambridge Spark
Cambridge Spark is an education technology innovator helping others achieve digital and AI-aligned business goals. We specialise in critical skills training for transformative workflows, leveraging our unique patented EDUKATE.AI platform—an AI-powered, immersive, sandbox learning environment with 24/7 feedback and agility.
Since 2016, our programs have empowered 15,000+ learners across four continents, resulting in 550,000+ code submissions for feedback via EDUKATE.AI. Global brands trust us to upskill their workforce, including Microsoft, the NHS, GSK, easyJet, the BBC, and John Lewis.
Our approach to applied learning builds measurable impact—learners report generating up to £40m in value annually through themselves.
Our Core Values
Entrepreneurial: Take initiative, innovate and implement ad-hoc solutions aligning with compelling data.
Team Spirit: Foster an open and transparent culture, sharing insights and solutions to drive collective success.
Customer-Focused: Centre client needs as the core of value creation, building friendly and lasting relationships rooted in understanding.
Gold Standard: Expertise drives innovation and uncompromising quality—we set benchmarks in both delivery and product design.
Equal Opportunities
Cambridge Spark is an Equal Opportunities Employer, fostering an environment free of discrimination and harassment. All roles are hired purely based on how well one meets job requirements, not identity. We champion diversity and inclusion, eliminating biases regarding race, ethnicity, disability, gender reassignment, sexual orientation, religion, age, or any other protected status.
Any discrimination or harassment based on these factors will not be tolerated. We encourage applications from all ages.
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