Work hand-in-hand with data scientists, engineers, and stakeholders to deliver production-grade applications. Join a fast-growing Data & AI team that’s shaping……
Develop and maintain AI data pipelines, embeddings, knowledge stores and retrieval systems. Experience with vector databases and search technologies such as……
Writing: creating documentation for both data science and non-technical stakeholders; providing a data science lens on insights and outputs from the model,……
This hybrid role combines software engineering skills with machine learning engineering expertise to deliver automated, reliable, and observable ML pipelines……
Access to wellness programs and discounted retail gift cards, helping you save on everyday purchases. Employment is subject to satisfactory background checks,……
Advanced Python skills tailored for data science applications and production environments. Solid grounding in statistics, machine learning models, NLP, or……
Delegate tasks to and mentor junior data scientists. Serve as a subject matter expert in data and analytics in client engagements to help our customers get……
Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. End-to-End GenAI Solution Delivery.…
Applications are encouraged from all sectors of the community and we strongly encourage applications from the Veterans, Aboriginal and/or Torres Strait Islander……
Own the evidence behind program decisions: where availability is at risk, where automation is ready to expand, where engineering effort has the highest leverage……
2–5 years of experience in AI, machine learning, data science, or software engineering roles. Design, build, and deploy AI-powered applications, machine……
Bachelor’s or Master’s degree or equivalent experience in Computer Science, Data Science, Machine Learning, or a related field and relevant certifications (e.g.……
Bachelor’s or Master’s degree or equivalent experience in Computer Science, Data Science, Machine Learning, or a related field and relevant certifications (e.g.……
Ability to use Google Cloud Platform (preferred), AWS or Azure or other equivalent cloud developer services. Deploy production-grade ML systems, design robust……
Experience delivering software/data products to customers, and iterating based on their feedback. PhD not required, but completion of a doctorate with a……
Collaboration Skills: Ability to work effectively with cross-functional teams (including data scientists, software engineers, and product managers) to achieve……
To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days,……
Demonstrated enterprise data science / AI delivery across *at least three* of the following sectors: banking/financial services, telecommunications, energy……
To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days,……
Mentor and uplift junior data scientists, raising the bar for scientific and engineering excellence. Proven delivery of high‑impact machine learning solutions……
Design, build, and deploy AI-powered applications, predictive machine learning models, and agentic systems. 5+ years of experience in AI, machine learning, data……
This role leads a cross-functional team comprising data engineers, full-stack developers/engineers, data integrators, data scientist, ensuring seamless data……
The key focus on this role will be ensuring that data about vehicles from multiple sources can be matched and deduplicated effectively to be consumed by our end……
Machine Learning Engineer - Capital Investment - Data & AI - Sydney
Sydney
$74K - $150K (Glassdoor Est.)
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 dynamic, forward-thinking organisation
Flexible 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 professional 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.
Base pay range
The minimum salary is $74K and the max salary is $150K.
$74K – $150K/yr (Glassdoor Est.)
$105K
/yr Median
Sydney
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