Technical Trainer - AI Engineering

Department: Delivery

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)

A quick note before you apply: This role is strictly UK-based and must be performed entirely within the United Kingdom; we do not employ remote staff overseas, nor do we offer relocation support. Candidates must have the legal right to work in the UK prior to commencing employment. While we hold a sponsor licence, visa sponsorship is only considered in exceptional circumstances and is not available as standard for this vacancy. 

Role Overview

Cambridge Spark is looking for a Data Science Trainer to deliver our gold-standard technical programmes. While your deep technical expertise will be primarily focused on our Level 6 AI Engineer pathway, this role offers the exciting opportunity to deliver training across our wider portfolio of multiple apprenticeship programmes and high-impact corporate training engagements.

You’ll lead deep-dive, hands-on workshops that empower data professionals and software engineers to build, test, and deploy robust machine learning models and advanced analytics solutions. A proportion of your time will consist of influencing the content you will deliver. Working across funded apprenticeships and corporate training, you’ll ensure that programmes meet high standards for learner engagement, technical rigour, and applied workplace impact.

Key Responsibilities

• Deliver the Level 6 AI Engineer curriculum as your primary focus, while also leveraging your expertise to lead advanced technical modules across other apprenticeship pathways and execute bespoke corporate training engagements.
• Deliver engaging, hands-on workshops enabling learners to build supervised and unsupervised learning models using libraries like Scikit-Learn, XGBoost, and statsmodels.
• Facilitate technical deep dives covering neural networks, deep learning frameworks (TensorFlow/PyTorch), and classical Natural Language Processing techniques.
• Instruct learners on writing production-ready code, version control (Git), unit testing, and applying MLOps principles using cloud platforms (AWS, Azure, or GCP).
• Facilitate high-quality, interactive training sessions via virtual platforms (our primary model), while maintaining the pedagogical flexibility to travel to client sites or hubs for face-to-face workshops when requested.
• Partner with Product Managers to provide technical feedback on curriculum resources, Jupyter Notebook labs, and self-directed learning paths, building complex datasets for modelling.
• Implement quality processes as defined by the Quality Team and maintain technical expertise across fast-moving ML frameworks, MLOps tooling, and software engineering best practices.

Candidate Specification

Essential

• Exceptional hands-on experience building technical solutions in Python, including deep knowledge of the core data science ecosystem (Pandas, Scikit-Learn, etc.) and OOP principles.
• Conceptual and mathematical understanding of predictive algorithms, model evaluation metrics, hyperparameter tuning, and bias/variance trade-offs.
• Strong practical experience with Git, containerisation (Docker), CI/CD concepts, and deploying models as APIs or within cloud environments.
• Familiarity with distributed computing and processing large datasets (e.g., PySpark, Databricks).
• Exceptional communication skills with the ability to patiently explain complex mathematical and programmatic concepts to learners with varying baseline skills.

Desirable

• Demonstrable, hands-on experience working in a commercial industry setting applying these specific technical concepts. 
• Practical experience fine-tuning open-source LLMs (e.g., LLaMA, Mistral) or engineering with the Hugging Face ecosystem.
• Certifications in AWS, Azure, or GCP data/ML specialities.
• A formal teaching or training qualification (PGCE, QTS, or equivalent), or substantial enterprise facilitation experience.

Interview Process
Stage 1: 15 minute screening interview with the Talent Team
Stage 2: 75 minute competency based interview with the hiring manager and SME (competency based questions, microteach and a short technical task)
Stage 3: 45 minute cultural alignment interview based on Cambridge Sparks values and ways of working
 

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.

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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.