Hybrid MLOps Engineer - Azure & LLMs

Pharmacy2U Ltd

Leeds

Hybrid

GBP 70,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Pension plan
Sick pay
Long-service awards
Professional registrations covered
Cycle to Work
Green Car schemes
Flexible hybrid working
Employee assistance

Job summary

Pharmacy2U Ltd. is seeking a Machine Learning Operations Engineer to own production-grade ML and LLM services on Azure, driving end-to-end MLOps. You will design CI/CD pipelines, manage model registration, and implement safe deployment strategies across environments, ensuring governance and reliability.

The role may include out-of-hours on-call rotations in a hybrid Leeds office. Ideal candidates have strong Python skills, experience with ML frameworks, and a DevOps/SRE background with CI/CD,

Qualifications

  • Strong Python engineering skills with ML framework experience.
  • Experience in regulated environments and data privacy/auditability.
  • Hands-on DevOps/SRE background including CI/CD and IaC.

Responsibilities

  • Design and operate CI/CD pipelines for ML models and LLM prompt-flows, including build, test, deployment, and rollback.
  • Own model registration and promotion across environments with governance and auditability.
  • Implement safe deployment strategies (blue/green, canary, champion/challenger).
  • Package and deploy containerised inference services and batch pipelines with repeatability.

Skills

Python
ML frameworks
CI/CD
Docker
Kubernetes
Azure
Observability

Tools

Azure Machine Learning
Git

Job description

Pharmacy2U Ltd. is seeking a Machine Learning Operations Engineer to own production-grade ML and LLM services on Azure, driving end-to-end MLOps. You will design CI/CD pipelines, manage model registration, and implement safe deployment strategies across environments, ensuring governance and reliability.

The role may include out-of-hours on-call rotations in a hybrid Leeds office. Ideal candidates have strong Python skills, experience with ML frameworks, and a DevOps/SRE background with CI/CD,

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