AI & Machine Learning Fellowship

Data scientists, ML engineers, software engineers, and technical professionals specialising in advanced machine learning systems. Strong programming foundations and comfort with mathematics required. No prior ML experience needed, but technical skills accelerate learning.

Solid programming experience (Python preferred), basic statistics, and mathematics comfort. No prior ML required. We teach from neural network foundations through production systems. Level 3 qualifications (GCSEs) minimum and motivation to specialise in ML engineering.

Key differences: earn while learning (stay employed), fully funded via Levy, 4 industry certifications, hands-on with 8+ production projects. Universities focus on theory; we focus on practical, deployable ML systems. Both Level 6 (degree-equivalent), but our pathway is faster, cheaper, and more immediately applicable.

Yes. The entire £22,000 cost is covered by the Apprenticeship Levy for eligible UK employers (payroll over £3 million). If your organisation doesn't pay the levy, we explore alternative funding. You're paid to learn — stay in your current role throughout.

You achieve: (1) ST1398 Level 6 ML Engineer regulated apprenticeship, (2) Microsoft Azure AI Engineer certifications, (3) BCS Advanced RITTech professional accreditation, (4) NVIDIA Deep Learning specialisation. All industry-recognised and immediately valuable in the job market.

Blended: live workshops (2-3 days/month), self-paced online modules, minimum 6 hours/week on-the-job training (OTJ). You remain in your role, so time integrates into your work. Total time is roughly equivalent to 1 university module whilst working full-time.