GenAI & Data Science Trainer (SC Cleared, Remote)

QA Limited; Cheltenham; Hybrid; GBP 60,000 - 80,000; Full time

Benefits offered by this job

27 days Annual Leave

Holiday Buying scheme

Medicash plan

Private Medical Insurance

Employee Assistance Programme

Pension Scheme

Early Friday Finish at 4pm

3 Development days

2 Charity days per year

Cycle to Work scheme

Employee Discounts BenefitHub

Job summary

QA Limited in the United Kingdom seeks a Data Science and AI Trainer to deliver government-focused training. This home-based role requires occasional delivery from QA centres and client sites and eligibility for Security Clearance (SC).

You will design and deliver GenAI, Python, and NumPy-based coursework, stay current with AI frameworks and cloud platforms, and contribute to course development and learner outcomes.

Qualifications

• Proven ability to design and deliver high-quality data science and GenAI training.
• Experience translating complex AI concepts to diverse audiences.
• Strong knowledge of GenAI, ML, Python, and NumPy.
• Familiarity with AI frameworks and cloud platforms.

Responsibilities

• Deliver high-quality training in Data Science, GenAI, and Python.
• Design engaging courseware aligned to client requirements.
• Maintain trainer satisfaction metrics and seek continuous improvement.
• Collaborate with SMEs and stakeholders across teams.

Skills

GenAI concepts

Python programming

Machine learning techniques

NumPy ecosystem

Presentation & facilitation

Prompt engineering

Education

Bachelor/Master in Mathematics or related field

MSc/PhD in Data Science or AI or related certifications

Tools

TensorFlow

PyTorch

AWS/GCP/Azure

Job description

QA Limited in the United Kingdom seeks a Data Science and AI Trainer to deliver government-focused training. This home-based role requires occasional delivery from QA centres and client sites and eligibility for Security Clearance (SC).

You will design and deliver GenAI, Python, and NumPy-based coursework, stay current with AI frameworks and cloud platforms, and contribute to course development and learner outcomes.