Senior ML/AI Engineer - AWS, Databricks & MLOps (Public Sector)

At Xtremax, we're looking for a Senior ML/AI Engineer to help build the engineering foundations that make machine learning and AI systems reliable in production. Working across AWS and Databricks, you'll help turn experiments and notebooks into maintainable services, reusable pipelines and operational AI capabilities.

You'll work across the ML lifecycle, from data preparation and feature engineering through experiment tracking, deployment, monitoring, evaluation, retraining and retirement. Using technologies such as Python, PySpark, SQL, Databricks and MLflow, you'll improve the reliability, reproducibility and cost efficiency of AI workloads while establishing reusable engineering patterns for the wider team.

This is a hands-on engineering role that spans software, data and infrastructure. You'll collaborate with data scientists, data engineers, platform engineers, product teams and governance stakeholders to build secure and observable services, improve deployment practices, and support the continued maturity of MLOps and AIOps capabilities.

Responsibilities

• Design and implement reusable MLOps/AIOps components for experiment tracking, model registry, workflow orchestration, deployment, monitoring, feedback and retraining.
• Productionise notebooks and prototypes into tested, modular and containerised batch jobs, APIs, model-serving endpoints and AI services.
• Build reliable data and feature engineering p