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Senior AI/ML Engineer

Primary office location
Sydney
Date
15-Jul-2025
Agency worker, Contractor/Agency Worker
Job category
Technology - Engineering
Join our AI Delivery team in Post Trade Technology where we provide creative AI solutions and tools to our Market Operations business partners. Our solutions significantly reduce manual tasks, allowing our customers to work more effectively and efficiently.
At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.

What role will you play?

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As a Senior AI/ML Engineer, you will design, develop, and deploy scalable machine learning models and algorithms to address complex business challenges and collaborate with cross-functional teams to seamlessly integrate machine learning solutions into production systems. You will conduct thorough data analysis and preprocessing to ensure high-quality input for model training and evaluation, while optimising and fine-tuning models to maximise performance, accuracy, and scalability.

Staying current with the latest advancements in machine learning, artificial intelligence, and related technologies will be key to driving innovation.. Additionally, you will mentor and provide technical guidance to junior team members, fostering a collaborative and innovative work environment. Effective communication of findings and insights to both technical and non-technical stakeholders will be essential, as will active participation in code reviews, design discussions, and the continuous improvement of engineering practices within the team.

What you offer

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  • 2+ years of experience in machine learning, data science, or related fields, and overall IT industry experience of 10 + years
  • Proficiency in programming languages such as Python, R
  • Experience with Large Language Model (LLM), Natural Language Processing (NLP) and/or Computer Vision
  • In-depth experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc
  • Excellent understanding of statistical methods, data structures, and algorithms
  • Proven track record of developing and deploying machine learning models in a production environment
  • Experience with cloud platforms such as AWS, Google Cloud or Azure
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
  • Experience with big data technologies such as Spark and/or Kafka, as well as familiarity with DevOps practices and tools for continuous integration and deployment is valuable.
We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

About Technology

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Technology enables every aspect of Macquarie, for our people, our customers and our communities. We’re a global team that is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications and designing tomorrow’s technology solutions.

Our commitment to diversity, equity and inclusion

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We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, family and domestic violence status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. To learn more, contact our team by clicking here.

Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.

Learn more about Macquarie

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