Full-stack AI engineer

About Explore Learning:

Explore Learning is a leading educational organisation that is committed to making learning enjoyable and effective for children. With our network of learning centres across the country and our online tutor offering, we help thousands of children develop their skills and reach their full potential.

Join us as a full-stack AI engineer building cutting-edge educational solutions from data pipeline to production. You'll own the complete ML lifecycle - from raw data engineering through to deploying conversational AI that transforms how parents and educators understand student learning. Report to Head of Machine Learning in a fast-paced, innovative environment.

Key Responsibilities

End-to-end AI development

• Build complete AI solutions: from data ingestion to deployed GenAI applications
• Design conversational interfaces using state-of-the-art LLMs (e.g Azure OpenAI)
• Create scalable data pipelines processing millions of educational records
• Develop advanced prompt engineering for personalised, encouraging insights

Full-Stack ML Engineering

• Architect data pipelines with Azure Data Factory and transform raw data into ML-ready features
• Implement cutting-edge pre-computation strategies for real-time AI responses
• Co-own the entire solution with the ML Team: data engineering → model development → production deployment and maintenance.
• Drive innovation across the complete ML stack

Technical Leadership

• Partner with Backend/Frontend teams as the AI solution owner
• Collaborate with MLOps to ensure seamless model deployment
• Shape architectural decisions across the data-to-AI pipeline

Requirements

Essential

• 3+ years as full-stack ML engineer (data engineering + AI development)
• End-to-end ML pipeline experience - not just models, but complete solutions
• Production LLM/GenAI deployment
• Azure ecosystem (Data Factory, ML Studio, OpenAI Service)
• Strong data engineering (SQL, Python, ETL)
• UK work authorisation

Desirable

• EdTech sector experience
• Real-time ML systems
• Published ML projects
• Azure AI certifications

Location: Remote, with occasional UK travel 

Salary:  Competitive

Reports to: Head of Machine Learning 

Contract: Full time, permanent contract

Holidays: 27 days of flexible annual leave. In addition to this, we close for sessions from 24th-1st January every year and don't require you to take any annual leave during this time. Additional 3 paid days you can take for a personal or religious celebration, wellbeing or a volunteer day.

Wellbeing: Discounted gym memberships and sportwear, free counselling, cycle to work scheme and a discounted tastecard.

Benefits: Referral bonus, staff discounts, enhanced parental leave and pension.