Machine Learning Engineer (Cloud, DevOps & MLOps)

Duration: 12 month initial contract + 12 month extension option
Location: Sydney, Melbourne or Brisbane
Work Arrangements: Hybrid, adaptable WFH
Eligibility: Australian citizens only

Company Overview

BLACKROC is partnering with a major Commonwealth government agency to recruit a Machine Learning Engineer.

Role Purpose

Join a multidisciplinary data science and AI team as the engineer who turns promising AI prototypes into secure, production-ready services. You’ll design and automate the AWS platforms, pipelines and container environments behind generative AI, RAG, machine learning and analytics products used right across the organisation.

Key Responsibilities

- Design, build and maintain AWS infrastructure supporting AI, ML, data science and software workloads
- Implement Infrastructure as Code using Terraform, AWS CDK or CloudFormation
- Build and maintain CI/CD pipelines covering build, test, security scanning and deployment
- Deploy and support containerised applications on Docker, Kubernetes and Amazon EKS
- Develop monitoring, logging, alerting and observability capabilities
- Lead troubleshooting, incident investigation and root cause analysis
- Implement security controls, IAM, secrets management and secure deployment practices
- Support MLOps and LLMOps capabilities for model deployment, evaluation and monitoring
- Produce runbooks, technical documentation and reusable engineering standards





Required Skills & Experience

- Demonstrated experience designing, deploying and supporting cloud solutions on AWS
- Demonstrated experience building and maintaining reliable CI/CD pipelines
- Infrastructure as Code experience (Terraform, AWS CDK, CloudFormation or equivalent)
- Containerisation and orchestration experience with Docker and Kubernetes (EKS preferred)
- Experience implementing monitoring, logging and observability for cloud platforms
- Proven ability to troubleshoot complex infrastructure, deployment and operational issues
- Australian citizenship and the ability to obtain NV1 clearance

Preferred Skills & Qualifications

- Experience supporting machine learning, AI or data science platforms
- MLOps, LLMOps or AI model deployment and monitoring experience
- Familiarity with Amazon Bedrock and generative AI or RAG deployments
- Cloud security, identity and access management, secrets management and compliance automation

Contact Information

For more information please contact Usama at *****@blackroc.co or on ***.

Equal Opportunity Statement

At BLACKROC Recruitment, we are committed to fostering diversity, equity, and inclusion. We welcome applications from individuals of diverse backgrounds, including those with lived experiences. If you require any adjustments during the recruitment process, please don’t hesitate to reach out to the above-mentioned BLACKROC Consultant.

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📌 Machine Learning Engineer (Sydney)
🏢 Blackroc
📍 Sydney