In-Demand Lead machine learning engineer Jobs in Brisbane Qld

MLOps Engineer
Akuna Capital —Brisbane QLD
- Full-time
- Computer Science
- Engineering
- Research
Data Scientist
VALD —Brisbane QLD
- Full-time
- Microsoft Excel
- SQL
- Machine learning
Quick Apply
AI Technical Lead
Accenture —Brisbane QLD
- Full-time
- Azure
- Master's degree
- AWS
- On-the-job training
- Parental leave
Project Infrastructure Consultant
Brennan IT —Brisbane QLD
- Contract
- Microsoft Access
- Azure
- Management
Risk Operations AI Specialist
Binance —Brisbane QLD
- Full-time
- Remote
- Bilingual
- Management
- Master's degree
Quick Apply
Reliability Manager
James Hardie —Carole Park QLD
- Full-time
- Management
- Maintenance
- Bachelor's degree
- Parental leave
- Employee assistance program
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Robotics Software Engineer
Amaris Consulting —Brisbane QLD
- Computer Science
- Master's degree
- Bachelor's degree
Senior Gemini Platform Engineer
Accenture —Brisbane QLD
- Full-time
- Management
- ERP systems
- SQL

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MLOps Engineer

Akuna Capital -
Brisbane QLD

Apply Now

Job Details

Full-time

Qualifications

CI/CD
Computer Science
Engineering
Research
Bachelor's degree
Machine learning
Communication skills

Full Job Description

About Akuna:

Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions and automation. We specialise in providing liquidity as an options market maker – meaning we are committed to providing competitive quotes that we are willing to both buy and sell. To do this successfully we design and implement our own low latency technologies, trading strategies and mathematical models. At Akuna we have a flat structure, where the best idea wins.

Our Founding Partners, including Andrew Killion, first conceptualized Akuna in their hometown of Sydney. They opened the firm's first office in 2011 in the heart of the derivatives industry and the options capital of the world – Chicago. Today, Akuna is proud to operate from additional offices in Sydney, Shanghai, Singapore and London.

What you'll do as a MLOps Engineer at Akuna:

We are looking for an experienced MLOps Engineer to lead the direction of Akuna's machine learning infrastructure and help enable the success of machine learning initiatives across the firm.
This role will work closely with teams across technology, quantitative research, and trading to support the full machine learning lifecycle: from research and experimentation through to deployment, monitoring, and ongoing improvement. You will help ensure current ML initiatives are successful while defining a clear roadmap toward scalable, reliable, and best-in-class ML infrastructure and practices.

In this role, you will

Design, own and maintain the machine learning infrastructure, partnering with cross functional teams across the lifecycle of key ML initiatives.
Own and drive the roadmap for Akuna's machine learning infrastructure, tooling, and processes.
Take a hands-on role designing, building, and maintaining platforms that enable efficient model development, training, deployment, monitoring, and governance.
Establish best practices for reproducible ML workflows, model lifecycle management, CI/CD, observability, and production reliability.
Operate and continuously improve ML infrastructure to ensure it is scalable, performant, reliable, and easy for researchers and engineers to use.
Provide technical leadership and guidance to engineering and research teams adopting ML infrastructure capabilities.

Requirements:

Bachelor's degree or higher in Computer Science, Engineering or a related technical field.
Minimum 3+ years full-time experience building, deploying, or operating machine learning infrastructure in production environments.
Hands-on experience with ML infrastructure or data platforms such as Databricks or Spark.
Strong programming skills in Python, C++, or both in Linux-based environments.
Effective communication skills, with the ability to partner effectively across engineering, research, and business teams.
Demonstrated ownership, technical leadership, and ability to define and execute a roadmap.

Please note: If you apply to multiple roles, you may be asked to complete multiple coding challenges and interviews.

Apply Now

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lead machine learning engineer jobs in brisbane qld

MLOps Engineer

Data Scientist

AI Technical Lead

Project Infrastructure Consultant

Risk Operations AI Specialist

Reliability Manager

Robotics Software Engineer

Senior Gemini Platform Engineer

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