Are you ready to take your machine learning expertise to the next level? Join a fast-growing Data & AI team that’s shaping the future of artificial intelligence in finance, operations, and customer engagement. This is your chance to work on high-impact projects, experiment with the latest technologies, and transform cutting-edge AI models into scalable, production-grade solutions.

Why you’ll love this role:
Be at the forefront of AI innovation in a agile, forward-thinking organisation
Adaptable hybrid working so you can thrive both at home and in the office
Collaborate with an elite team of data, AI, and engineering professionals
Gain exposure to GenAI, LLMs, RAG solutions, and MLOps at scale
Unlock opportunities for career growth and career development

What you’ll do:
Design, build, and deploy machine learning solutions that solve real business problems
Lead the development of next-gen GenAI, LLM, and RAG applications
Develop scalable APIs, microservices, and data pipelines using MLOps best practice
Deploy secure, scalable solutions across AWS, Azure, and GCP




Work hand-in-hand with data scientists, engineers, and stakeholders to deliver production-grade applications
Contribute to the AI capability roadmap , driving experimentation and adoption of emerging tech

What we’re looking for:
3–5+ years in ML engineering, data science, or software engineering with ML applications
Advanced skills in Python and libraries like PyTorch, TensorFlow, scikit-learn, LangChain, Hugging Face
Strong SQL skills, with experience across Snowflake, relational and NoSQL databases
Hands-on expertise with cloud platforms, Docker, and API development
Excellent communication and stakeholder engagement skills
A curious mind and genuine passion for emerging technologies and continuous learning

🚀 If you’re excited by the thought of pushing boundaries in AI, building solutions that make a real impact, and growing your career in a high-performing environment — this role is for you.

📌 Machine Learning Engineer Capital Investment Data & Ai Sydney
🏢 The Argyle Network
📍 Sydney