Senior Machine Learning Engineer
Locations: ACT, NSW, VIC or QLD | Hybrid Working | 12-Month Contract + Extensions
We're seeking an experienced Senior Machine Learning Engineer to help deliver innovative AI and machine learning solutions within a high-performing technology environment.
This role offers the opportunity to work across the full AI delivery lifecycle, from experimentation and proof of concept through to production deployment and ongoing optimisation. You'll collaborate with software engineers, machine learning specialists and business stakeholders to design, build and operationalise scalable AI capabilities that deliver real-world outcomes.
About Us
At SRA, our Placement Services team is focused on long-term partnerships and successful delivery outcomes. We support our consultants throughout the engagement and work closely with clients to ensure the right fit on both sides. We are a trusted supplier to Commonwealth and State Government departments, as well as enterprise organisations across a range of industries. With over 30 years’ experience in ICT consulting, we understand what high-performing delivery teams need to succeed.
What You'll Be Doing
- Design, develop and deploy machine learning and AI solutions.
- Build and maintain production-grade ML capabilities.
- Contribute to AI experimentation, proof of concepts and solution evaluation.
- Implement MLOps practices to support reliable and scalable delivery.
- Develop serverless cloud-based solutions and supporting infrastructure.
- Produce technical documentation and support knowledge transfer activities.
- Collaborate with multidisciplinary teams to deliver practical business outcomes.
Key Skills & Experience
- Proven experience delivering production AI and machine learning solutions.
- Strong Python development experience.
- Expertise with PyTorch and transformer-based models.
- Experience with NLP technologies, including modern LLM solutions.
- Experience with computer vision and classical machine learning techniques.
- Strong understanding of data preparation, SQL, Pandas and scikit-learn.
- Experience with MLOps tools such as MLflow.
- Experience delivering solutions on cloud platforms (AWS, Azure and/or GCP).
- Strong communication and stakeholder engagement skills.
Highly Regarded
- Infrastructure-as-Code, particularly AWS CDK.
- AWS serverless application delivery.
- Experience explaining technical concepts and AI outcomes to non-technical stakeholders.
Requirements
- Relevant ICT qualifications and/or industry certifications.
- Ability to obtain and maintain a Baseline Security Clearance.
- Ability to travel periodically for onboarding and team collaboration activities.
What's on Offer
- Long-term engagement with extension options.
- Opportunity to work on cutting-edge AI initiatives.
- Hybrid working arrangements.
- Collaborative and highly skilled technology team.
If you are passionate about applied AI and have experience delivering machine learning solutions from experimentation through to production, we would love to hear from you. Apply today to be considered for this great opportunity.