Machine Learning Engineer

Location: Sydney, NSW

$140,000 - $200,000 Dependent on Experience

About the Company

Join a forward-thinking, innovation-led organisation based in Sydney that is investing heavily in AI and machine learning to solve how financial data is processed and understood.

Operating at the intersection of AI and enterprise infrastructure, this company is building intelligent systems that extract meaning from complex, unstructured documents at scale.

Apply Now - this is a fun vibrant team using the latest AI technology to drive significant business impact!

This is not a research role. It’s a high-impact product engineering role in forward-deployed style where your work ships into production and is used by customers daily.

Key Requirements

Candidates should bring a minimum of five years’ experience in machine learning engineering, with demonstrable expertise in:

Natural Language Processing (NLP), information extraction, and working with large language models (LLMs)

Python programming and major ML frameworks such as PyTorch or TensorFlow

MLOps practices including containerisation (Docker), orchestration (Kubernetes), and CI/CD pipelines tailored for ML workflows

Utilising AI-enhanced development environments and tools to streamline experimentation and deployment

Cross-functional collaboration with engineering, product, and business stakeholders

Agile methodologies and fast-paced product development environments

Exposure to modern ML tooling such as Modal, Weights & Biases, or Amazon SageMaker would be advantageous.

Role Overview

The successful candidate will be responsible for designing and implementing machine learning solutions that interpret and structure unorganised financial data. This includes:

Developing models for classification, entity recognition, summarisation, and retrieval

Customising and refining LLMs for specific business applications, ensuring optimal performance and scalability

Collaborating with data engineering teams to prepare and transform large datasets for model training

Building robust ML services with monitoring, retraining, and performance tracking capabilities

Enhancing the organisation’s MLOps infrastructure, including model lifecycle management and evaluation systems

Partnering with product and engineering teams to embed ML capabilities into core platforms

Machine Learning Engineer

Location: Sydney, NSW

$140,000 - $200,000 Dependent on Experience