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DIRECTION / DEPTH / A DEFINITE PIECE OF WORK

Find your direction.
Then go beyond the introduction.

Six proposed specialist pathways after the shared core. One pathway adds two 24-hour studios and a substantial project deepening phase.

PATHWAY 01

Applied ML Engineer

A reproducible decision service with feature contracts and documented errors.

Evidence, not a job promise. Two specialist lab packs, an integrated project iteration, evaluation results, a technical report and an individual review. Availability depends on appointed faculty and the approved environment.
PATHWAY 02

Generative AI & Agent Engineer

A source-grounded assistant with evaluated retrieval, bounded tools and approval gates.

Evidence, not a job promise. Two specialist lab packs, an integrated project iteration, evaluation results, a technical report and an individual review. Availability depends on appointed faculty and the approved environment.
PATHWAY 03

Deep Learning & Vision Engineer

A visual-inspection prototype with held-out scene evaluation and a profiled model.

Evidence, not a job promise. Two specialist lab packs, an integrated project iteration, evaluation results, a technical report and an individual review. Availability depends on appointed faculty and the approved environment.
PATHWAY 04

Robotics & Autonomous Systems

A simulated ROS 2 perception/localisation workflow with replay and transform evidence.

Evidence, not a job promise. Two specialist lab packs, an integrated project iteration, evaluation results, a technical report and an individual review. Availability depends on appointed faculty and the approved environment.
PATHWAY 05

MLOps & AI Platform Engineer

A versioned model service with release controls, monitoring and a recovery drill.

Evidence, not a job promise. Two specialist lab packs, an integrated project iteration, evaluation results, a technical report and an individual review. Availability depends on appointed faculty and the approved environment.
PATHWAY 06

Scientific AI & Research

A reduced-order twin and reproducible research package with carefully bounded claims.

Evidence, not a job promise. Two specialist lab packs, an integrated project iteration, evaluation results, a technical report and an individual review. Availability depends on appointed faculty and the approved environment.

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