Help shape the future of AI by creating scalable, production-ready solutions that improve customer and business outcomes while growing your expertise alongside experienced AI professionals. - Build enterprise AI solutions that deliver measurable business value - Influence AI engineering practices across a leading financial services group - Work with emerging technologies including Agentic AI and MLOps Help shape the future of AI by creating scalable, production-ready solutions that improve customer and business outcomes while growing your expertise alongside experienced AI professionals. About the Role As a Senior Machine Learning Engineer, you will join the AI & Data Science Centre of Excellence and contribute to high-impact AI initiatives across the organisation. You will design, build and deploy advanced machine learning and AI solutions that support strategic business priorities and deliver tangible value. Working closely with data scientists, architects, engineers and business stakeholders, you will help transform innovative concepts into reliable production systems while supporting the growth of the broader AI community. What You'll Do - Design and implement machine learning and AI solutions that address complex business challenges - Develop and deploy Agentic AI workflows, GenAI pipelines and intelligent automation capabilities - Build scalable ML platforms, pipelines and deployment frameworks for production environments - Collaborate with data scientists and technology teams to deliver robust end-to-end solutions - Share technical expertise and guide engineers and analysts on best practice approaches - Contribute to the evolution of AI platforms, tools, standards and engineering processes What You'll Bring - Experience developing and productionising machine learning solutions, AI applications or Agentic AI workflows - Strong programming capability and practical experience with machine learning engineering practices - Expertise in MLOps, CI/CD, cloud automation and deploying models in batch and real-time environments - Knowledge of ML pipelines, model monitoring, performance assessment and operational support practices - Experience with containerisation, Infrastructure as Code, GitOps and modern engineering toolsets - Strong communication skills with the ability to explain complex technical concepts to varied audiences What You'll Enjoy Access our award-winning Shine platform – your central hub for exclusive perks, wellbeing support, career development, and recognition. Shine has been recognised for excellence in employee experience, making it easier than ever to access what matters most to you. - Performance-based bonuses and Suncorp shares for eligible employees - Hybrid working, flexible leave, 20 weeks paid parental leave, and up to 5 days paid flexible leave annually - Paid study support, career breaks, on-the-job learning, and a $1,000 referral bonus for eligible employees - Free wellbeing coaching, a dedicated Employee Council, and confidential EAP access - Discounts at 400+ retailers, insurance savings, gym memberships, and reduced super fees - Paid volunteer leave, donation matching, and unlimited emergency response leave - Diversity is celebrated through employee resource groups and inclusive policies for all families [Explore our full benefits](https://www.suncorpgroup.com.au/careers/benefits) At Suncorp we believe we are our best when our workforce is as diverse, talented and passionate as the communities in which we live and operate, and where our people feel included, valued and connected. We are passionate about inspiring our people by creating a diverse, accessible, and inclusive culture, offering flexible work, career development and internal mobility, and building connected relationships amongst our team members and with our customers. If you require any support and adjustments to participate equitably in our recruitment process or in the workplace, we encourage you to contact georgia.slattery@suncorp.com.au for a confidential conversation. To apply for this opportunity, please submit your application directly via the link provided. Know someone who'd be a great fit for this role? Refer them! Great people know great people. If you have someone in mind who would be a fit for this opportunity, we'd love to hear about them. To submit your referral, please review this [knowledge article](https://fa-evew-saasfaprod1.fa.ocs.oraclecloud.com/fscmUI/redwood/myknowledge/content/container/main/article?stripeCode=ORA_SVC_HCM&answerId=10019014) and follow the steps carefully to ensure your referral is submitted successfully.