Cambridge Spark
Technical Trainer
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Technical 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)
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 Instruction: Deliver (end-to-end) the Level 4 AI Workflow Specialist curriculum, focusing heavily on workflow automation, low-code tools, and practical business integration. Workflow Automation & AI Tools: Deliver engaging, hands-on workshops enabling learners to build and deploy practical AI workflows using tools like Power Automate, ChatGPT, and Copilot environments. Advanced Context Engineering & RAG: Facilitate technical deep dives covering system prompts, prompt chaining, Retrieval-Augmented Generation (RAG), and 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: Collaborate with Product Managers to provide technical feedback on AIWS curriculum resources and self-directed learning paths. Utilise allocated "content development time" effectively to refine learning activities, build practical automation scenarios, and update tool stack materials. Quality & Technical Excellence: Implement quality processes and standardisation tasks as defined and owned by the Quality Team. Maintain deep technical expertise across fast-moving GenAI tools, workplace adoption patterns, and low-code script integrations. Candidate Specification Essential Criteria: Google Workspace Studio Proficiency: Hands-on experience utilising and building automations within Google Workspace Studio and its associated AI/developer ecosystem to support client-specific enterprise workflows. GenAI & Low-Code Mastery: Hands-on experience working with and teaching enterprise GenAI interfaces, prompt engineering workflows (including multi-shot and prompt chaining), and low-code/no-code automation platforms (e.g., Power Automate). Knowledge Architectures: Solid understanding of vector search spaces, context windows, chunking strategies, and RAG architectures used to connect AI models to organisational data. 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 & APIs: Functional capability in Python scripting and API integration to guide advanced learners through custom developer integrations. LLMOps & Governance Awareness: Familiarity with operationalising AI, including drift detection patterns, guardrail implementations, Shadow AI mitigation, and Algorithmic Impact Assessments. Compliance Frameworks: Practical knowledge of deploying AI solutions safely within the boundaries of data privacy standards, GDPR compliance, and responsible AI guardrails. Qualifications: A formal teaching or training qualification (PGCE, QTS, or equivalent), or substantial enterprise facilitation experience.
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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. 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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