Technical Trainer (AI Engineering)

Location: Home-based in the UK, with occasional travel to the London office and client sites for face-to-face workshops. Applicants must currently be based in the UK and have the legal right to work there.

Company

hirify.global is an education technology company delivering applied data science, AI, and digital transformation training through apprenticeship programmes, corporate education, and its EDUKATE.AI learning platform.

What you will do

• Deliver the Level 6 AI Engineer curriculum and advanced technical modules across apprenticeship and corporate training programmes.
• Run hands-on workshops covering supervised and unsupervised learning with Python, Scikit-Learn, XGBoost, and statsmodels.
• Teach neural networks, deep learning with TensorFlow and PyTorch, and classical natural language processing.
• Train learners in production-ready coding, Git, unit testing, Docker, CI/CD, MLOps, and model deployment through APIs and cloud platforms.
• Facilitate primarily virtual sessions while travelling to client sites or hubs when required.
• Work with Product Managers on curriculum resources, Jupyter Notebook labs, self-directed learning paths, and complex modelling datasets.

Requirements

• Extensive hands-on experience building technical solutions in Python, including Pandas, Scikit-Learn, data science, and object-oriented programming.
• Strong conceptual and mathematical understanding of predictive algorithms, evaluation metrics, hyperparameter tuning, and bias-variance trade-offs.
• Practical experience with Git, Docker, CI/CD, model deployment, APIs, and cloud environments.
• Familiarity with distributed computing and large-scale data processing, such as PySpark or Databricks.
• Exceptional communication skills and the ability to explain complex mathematical and programming concepts to learners with varied experience levels.
• Must be based in the UK and hold the legal right to work in the UK.

Nice to have

• Commercial experience applying these technical concepts in an industry setting.
• Experience fine-tuning open-source LLMs such as LLaMA or Mistral, or working with Hugging Face.
• AWS, Azure, or GCP data and machine learning certifications.
• A PGCE, QTS, equivalent teaching qualification, or substantial enterprise facilitation experience.

Culture & Benefits

• 37.5-hour working week with primarily virtual training delivery and occasional travel.
• 4% matched pension contributions and an optional salary sacrifice scheme.
• 25 days of holiday, flexible bank holidays, a birthday day off, and the option to buy back up to 10 additional holiday days.
• Private medical insurance, a cash plan, a wellbeing allowance of up to £30 per month, and an Employee Assistance Programme.
• CPD allowance, quarterly development reflections, volunteering day, enhanced maternity and paternity leave, and company events.

Hiring process

• Stage 1: 15–20-minute screening interview with the Talent Team.
• Stage 2: 90-minute competency interview with the hiring manager and subject matter expert, including a microteach and short technical task.
• Stage 3: 45-minute cultural alignment interview.