2 of 2 Part-Time Azure Machine Learning Jobs in Scotland

you will own the AI discipline within Hypercube. That means setting best practice, evolving our technical guard‑rails, shaping packaged offerings and guiding learning pathways for every AI practitioner in the business. You’ll split your time roughly 40 % billable (hands‑on technical oversight) and 60 % leadership, R … guard‑rails and reference architectures; keep us ahead of the curve in GenAI, LLMOps and MLOps Practice Building - Design the end‑to‑end learning journey for AI engineers, data scientists, and machine learning engineers; mentor and line‑manage; lead hiring interviews for your discipline … tuning foundation‑model solutions; RAG patterns; prompt‑engineering & evaluation MLOps/LLMOps: CI/CD for models, feature stores, experiment tracking (MLflow, SageMaker, Azure ML, Vertex, etc.) Cloud‑Native Delivery: Building scalable AI pipelines on AWS or Azure; Terraform/IaC familiarity Python Excellence More ❯

world tech delivery experience and a passion for doing things better Bonus Points If You Also Bring: Formal certification in cloud (AWS, GCP, Azure) or AI/ML (e.g. Google ML certs) Experience with agile or scaled agile delivery models Familiarity with controls-by-design, engineering governance More ❯