Machine Learning Engineer

Join to apply for the Machine Learning Engineer role at Resolution Life .

Resolution Life Australasia (RLA) is one of the leading life insurers in Australia and New Zealand. With approximately 1 million customers, RLA manages around A$30 billion in assets and employs about 1,000 people across both countries.

Opportunity

We are seeking a skilled Machine Learning Engineer to join our high‑performing AI team in a permanent role based in either Sydney or Melbourne. This opportunity offers the chance to work across the full lifecycle of AI solution delivery—from research and design through to deployment—using a human‑centred approach that aligns with business objectives and delivers seamless, user‑focused experiences.

Responsibilities

• Develop, optimise, and deploy machine learning models and algorithms (traditional ML and Gen AI) in production systems.
• Collaborate with data scientists to understand modelling requirements and translate prototypes into production‑ready code using CICD.
• Build scalable and automated ML pipelines for data ingestion, feature engineering, training, and deployment.
• Document the process, monitor model performance and troubleshoot issues, implementing improvements and retraining models as needed.
• Work closely with Data Scientist, Data Engineer and software engineers to integrate ML models into applications and services.
• Participate in code reviews, maintain documentation, and follow best practices for software development and ML lifecycle management.
• Research and implement new machine learning techniques and tools to enhance system capabilities.
• Learn and leverage available AI / ML tools (Azure, Snowflake, AWS, Co‑pilot).
• Deploy new AI solutions, ranging from traditional AI to Gen AI, with available tools.
• Maintain & enhance existing CICD AI pipeline solutions using GitHub.
• Ensure reliability, scalability, and security of ML infrastructure.
• Ensure AI solutions meet evolving AI governance requirements.

Benefits

Accessibility & Compliance

Before commencing employment, you will need to provide two references, full working rights and complete police and credit checks through an online provider. As an equal‑opportunity employer we are committed to a diverse and inclusive workforce and will provide support or accessibility requirements throughout your interview process.

We invite you to apply. Contact : .

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