ML Ops Engineer ((Azure, CI/CD. Databricks, PyTorch)

ML Ops Engineer (Azure, Databricks. CI/CD)

Our client is a globally active technology leader in the energy space. To support the growing use of data and AI across the organisation, they are looking for an ML Ops Engineer to build and scale enterprise?grade Machine Learning operations.

Your Role

• Define AI and MLOps standards to establish a company?wide quality benchmark
• Design, implement and operate a scalable MLOps framework covering the full ML lifecycle
• Work closely with Data Science, Data Engineering and DevOps teams to enable secure, reliable deployment of ML models and AI agents
• Support the ongoing development of AI governance
• Optimise ML development, deployment and production processes
• Assess and communicate the business impact of AI and advanced analytics solutions

Your Background

• Hands?on experience with ML frameworks (e.g. MLflow, TensorFlow, PyTorch)
• Strong knowledge of CI/CD for ML, monitoring and secure deployments
• Experience with cloud platforms (preferably Azure) and modern data tools (Databricks, PySpark, Git)
• Good understanding of ML security and responsible AI

What’s Offered

• Up to 95% remote work
• 30 days holiday and flexible working hours
• Strong training and development packages
• Attractive pension, insurance and mobility benefits
• A key role in a future?focused, fast?growing green technology environment