Machine Learning Engineer

Build, deploy and operate ML systems—from classical models to deep learning and foundation models.

Part of our AI Academy Courses.

Course overview

Machine Learning Engineer is crafted to help your teams use GenAI effectively in their daily tasks and drive real efficiencies with tools like Microsoft 365 Copilot.

Skills gained

ML lifecycle & experiment designAdvanced Python & software engineeringFeature engineering & data qualityClassical ML methodsDeep learning & foundation models (CV, NLP, sequence)MLOps & ML pipelinesDeployment, monitoring & reliabilityResponsible AI, security & governance

Business outcomes

Accelerated Delivery

Operationalise ML to cut project timelines significantly.

Measurable ROI

Drive new revenue and cost savings through applied ML.

Operational Safety

Robust monitoring, security and governance for ML at scale.

Curriculum

From framing to evaluation and iteration.
Production-grade code, testing and packaging.
Build performant datasets and features.
Regression, trees, ensembles and more.
Modern architectures for CV/NLP/sequence tasks.
Automation, reproducibility and CI/CD for ML.
Serving models and operating them safely.
Risk, ethics and compliance in production.
Stakeholders, delivery and ROI.

Why our approach works

Measurable impact

Track quantifiable return on learning investment through business efficiencies, productivity and cost-savings.

Applied learning

We deliver project-based learning in a real-world context, personalised to each learner, to drive deep skill retention.

Guided by experts

Learners receive 1-to-1 coaching from industry experts, regular group coaching and community collaboration.

Transform careers

Everyone in your team has future-focused potential and deserves equitable access to economic opportunity.

Level 6 Apprenticeship

Machine Learning Engineer

16 months blended delivery

Overview

Covers the full ML lifecycle, advanced Python and software engineering, MLOps pipelines, deployment and responsible AI—anchored in work-based projects.

Level 6 Apprenticeship

Machine Learning Engineer

16 months blended delivery

Overview

Covers the full ML lifecycle, advanced Python and software engineering, MLOps pipelines, deployment and responsible AI—anchored in work-based projects.

To be eligible to start an apprenticeship you must meet the following criteria:

  • 18+ and employed in a full-time role related to the programme
  • Right to work in the UK
  • Lived in the UK or EEA continuously for the past 3 years
  • At least a grade of 4/C GCSE (or equivalent) in Maths and English
  • Not previously studied the course content
  • Not undertaking any other qualification during apprenticeship
  • Able to apply learning to role

To be eligible to start an apprenticeship you must meet the following criteria:

  • 18+ and employed in a full-time role related to the programme
  • Right to work in the UK
  • Lived in the UK or EEA continuously for the past 3 years
  • At least a grade of 4/C GCSE (or equivalent) in Maths and English
  • Not previously studied the course content
  • Not undertaking any other qualification during apprenticeship
  • Able to apply learning to role

Fully-funded

Eligible for Levy funding

Price: £22,000.00

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