Technical Trainer

Cambridge Spark Ltd.; Remote; GBP 80,000 - 100,000; Full time

Job summary

A leading education technology company based in the UK is seeking a Technical Trainer to deliver high-quality data and AI education programs from home. You will lead practical workshops and support learners, contributing to a transformative educational experience while maintaining a focus on learner success. The ideal candidate has strong Python and ML knowledge along with teaching experience and excellent communication skills.

Benefits

Flexible working from home

Pension with up to 5% matched contributions

25 days holiday + Flexi bank holidays

Health & Wellbeing allowance

Private medical insurance

Annual company events

Qualifications

• Strong hands-on expertise with Python and its ML ecosystem.
• Ability to build, evaluate, and tune ML models.
• Practical experience with neural networks and deep learning.

Responsibilities

• Deliver engaging technical workshops in Data Analysis, Machine Learning, and AI Engineering.
• Teach and demonstrate applied skills across the ML lifecycle.
• Contribute to curriculum improvement through content creation.

Skills

Python and its ML ecosystem

ML model evaluation and tuning

Neural networks and deep learning

MLOps knowledge

Experience with Generative AI

Communicative skills

Collaborative skills

Education

Teaching qualification (PGCE, QTS, or equivalent)

Tools

Python

ML libraries (NumPy, pandas, scikit-learn, PyTorch)

Job description

Department: Training

Location: Home based, UK

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 data and AI education programmes. You’ll lead practical, hands‑on technical workshops, support learners through teaching and learning, and help shape the next generation of AI professionals.

Working across both funded apprenticeships and corporate training, you’ll play a key role in ensuring our programmes meet high standards for technical depth, learner engagement, and real‑world application.

Key responsibilities

• Deliver engaging technical workshops in Data Analysis, Machine Learning, and AI Engineering using Python and modern ML libraries.
• Teach and demonstrate applied skills across the end‑to‑end ML lifecycle, from data preparation to production deployment.
• Adapt sessions for learners from diverse professional and educational backgrounds.
• Contribute to curriculum improvement through content creation, updates, and assessment design.
• Maintain accurate learner progress records and engage in Quality Assurance activities.
• Collaborate with colleagues to share best practices and ensure consistency in delivery.
• Uphold safeguarding, compliance, and data privacy standards.
• Engage in ongoing CPD to enhance both technical expertise and teaching practice.

Candidate Specification

Essential

• Strong hands‑on expertise with Python and its ML ecosystem (NumPy, pandas, scikit‑learn, PyTorch).
• Ability to build, evaluate, and tune ML models, including regression, classification, clustering, and ensemble methods.
• Practical experience with neural networks and deep learning (ANNs, CNNs, RNNs) and related optimisation techniques.
• Working knowledge of MLOps — deploying, versioning, monitoring, and maintaining models in production environments.
• Experience with Generative AI, NLP and Large Language Models (LLMs), including fine‑tuning and secure API integration.
• Confident communicator able to explain technical concepts clearly to diverse audiences.
• Collaborative, organised, and committed to learner success.

Desirable

• Teaching qualification (PGCE, QTS, or equivalent).
• 2+ years’ experience teaching, training, or mentoring in a technical domain (e.g. data science, AI, analytics).
• Understanding of explainability, fairness, and responsible AI — including use of SHAP, bias mitigation, and model cards.
• Awareness of cybersecurity, compliance, and sustainability considerations for ML systems.
• Experience developing curriculum content, assessments, or learning resources.
• Familiarity with apprenticeship delivery models and KSB frameworks.
• Knowledge of structured ML project methodologies such as CRISP‑ML(Q) and agile collaboration in data teams.

Company Benefits

• Remote first company providing flexibility to work from home
• Pension with up to 5% matched contributions
• Opportunity to opt into our 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
• Private medical insurance and cash plan
• Holiday buy back scheme (up to 10 days p/a)
• EAP with 24 hour confidential support line

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

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.