MLOps Lead: Azure AI & Production ML

Jobtailor; Manchester; On-site; GBP 90,000 - 150,000; Full time

Job summary

Jobtailor is seeking a senior MLOps leader to implement and evolve production ML/AI platforms on Microsoft Azure. You will coach a compact team of MLOps, Analytics and AI Engineers, and collaborate with Data Science and Software teams to push reliable, auditable models into production.

The role emphasises governance, CI/CD, and scalable data pipelines. The successful candidate will drive architecture decisions, mentor engineers, and ensure security, compliance and operational excellence across

Qualifications

• Extensive experience building end-to-end ML/AI systems in production.
• Experience coaching and leading small engineering teams.
• Strong collaboration with Data Science, Data Engineering and Software teams.
• Proficient in Azure cloud services for ML ops and production deployment.
• Fluency in Python and modern ML frameworks (PyTorch, TensorFlow).
• Experience with CI/CD for data science and AI models.

Responsibilities

• Implement and continuously improve ML/AI operations frameworks.
• Lead a small team of MLOps, Analytics and AI Engineers.
• Collaborate with cross-functional teams to productionise ML solutions.
• Design cloud AI Ops using Azure and optimize model deployment.
• Develop automated monitoring and data security practices.
• Guide system design discussions and share knowledge with stakeholders.

Skills

MLOps

Azure

Python

Coaching

Team Leadership

CI/CD

Education

Bachelor's Degree

Master's Degree

Tools

Azure ML

Azure Stream Analytics

Cognitive Services

Event Hubs

Synapse

Data Factory

PyTorch

TensorFlow

Job description

Jobtailor is seeking a senior MLOps leader to implement and evolve production ML/AI platforms on Microsoft Azure. You will coach a compact team of MLOps, Analytics and AI Engineers, and collaborate with Data Science and Software teams to push reliable, auditable models into production.

The role emphasises governance, CI/CD, and scalable data pipelines. The successful candidate will drive architecture decisions, mentor engineers, and ensure security, compliance and operational excellence across