Senior Machine Learning Engineer(MLOps)

7 hours ago

Sydney, New South Wales, Australia iVEGA Consulting Full time $120,000 - $180,000 per year

Synechron is seeking a highly skilled
Machine Learning Platform Engineer
to join our technology team supporting
a Leading Australian Bank
. You will be instrumental in developing, deploying, and managing end-to-end machine learning workflows in a scalable cloud environment. This role is ideal for professionals who are passionate about ML operations (MLOps), cloud infrastructure, and delivering secure and reliable AI/ML solutions at scale.

Key Responsibilities

  • Design, develop, and manage ML workflows
    using
    Amazon SageMaker
    ,
    AWS Glue
    , and
    Apache Airflow
    .
  • Deploy and monitor
    scalable applications and ML models on
    Amazon EC2
    and
    AWS Lambda
    .
  • Automate infrastructure provisioning
    and resource management using
    AWS CloudFormation
    .
  • Containerize applications
    using
    Docker
    and build robust
    CI/CD pipelines
    with
    GitHub Actions
    .
  • Collaborate with data scientists, software engineers, and product teams to
    integrate ML models into production environments
    seamlessly.
  • Write
    clean, efficient, and reusable Python code
    for automation, data processing, and orchestration.
  • Ensure
    security, scalability, and reliability
    of all ML systems and cloud-based deployments in compliance with banking standards.
  • Implement monitoring, logging, and alerting to ensure system health and performance.
  • Drive best practices in MLOps, including version control, testing, and reproducibility of ML experiments.

Required Skills and Experience

  • 4–7+ years
    of experience in MLOps, Cloud Engineering, or Machine Learning Engineering.
  • Strong hands-on experience with
    AWS services
    , particularly
    SageMaker
    ,
    Glue
    ,
    EC2
    ,
    Lambda
    , and
    CloudFormation
    .
  • Proficiency in
    Python
    for automation, ML workflows, and infrastructure scripting.
  • Solid experience with
    Apache Airflow
    for workflow orchestration and data pipeline management.
  • Experience in
    Dockerizing applications
    and working with containerized environments.
  • Knowledge of
    CI/CD pipelines
    using
    GitHub Actions
    or similar tools.
  • Understanding of machine learning lifecycle, model deployment strategies, and production monitoring.
  • Familiarity with security best practices, especially in a
    regulated industry
    like financial services.
  • Strong collaboration and communication skills, with the ability to work effectively across engineering, data, and business teams.

Preferred Qualifications

  • AWS certifications (e.g.,
    AWS Certified Machine Learning – Specialty
    ,
    Solutions Architect
    , or
    DevOps Engineer
    ).
  • Experience working in
    financial services
    or within large enterprise environments.
  • Familiarity with model registry, feature stores, and experiment tracking tools (e.g., MLflow, SageMaker Experiments).
  • Exposure to Infrastructure-as-Code tools such as
    Terraform
    is a plus.

  • Machine Learning Engineer

    1 week ago

    Sydney, New South Wales, Australia Intelligen Group Full time $70,000 - $120,000 per year

    Join Us at a Defining MomentAt Intelligen, we're building something different. Over the past three years, we've evolved from a bold startup to a trusted partner for some of Australia's most complex data transformations. We've helped organisations move from legacy to modern platforms, embedded governance into decision-making, and brought AI into the hands of...

  • Machine Learning Engineer

    1 week ago

    Sydney, New South Wales, Australia Intelligen Group Full time $120,000 - $180,000 per year

    Join Us at a Defining MomentAt Intelligen, we're building something different. Over the past three years, we've evolved from a bold startup to a trusted partner for some of Australia's most complex data transformations. We've helped organisations move from legacy to modern platforms, embedded governance into decision-making, and brought AI into the hands of...

  • Machine Learning Engineer

    1 week ago

    Sydney, New South Wales, Australia Intelligen Pty Ltd Full time $120,000 - $180,000 per year

    Join Us at a Defining MomentAt Intelligen, we're building something different. Over the past three years, we've evolved from a bold startup to a trusted partner for some of Australia's most complex data transformations. We've helped organisations move from legacy to modern platforms, embedded governance into decision-making, and brought AI into the hands of...

  • Machine Learning Engineer

    1 week ago

    Sydney, New South Wales, Australia Salient Group Full time $120,000 - $200,000 per year

    Machine Learning EngineerSydney (Hybrid Working)FinTechRole OverviewWe are seeking a highly skilledMachine Learning Engineerwith deep expertise in AWS machine learning services and strong data science fundamentals. You will be responsible for the full lifecycle of machine learning initiatives from data ingestion and preparation, through model development and...

  • Machine Learning Platform Engineer

    5 hours ago

    Sydney, New South Wales, Australia Synechron Technologies Pvt. Ltd. Full time $120,000 - $180,000 per year

    Job DescriptionAbout the RoleSynechron is seeking a highly skilledMachine Learning Platform Engineerto join our technology team supportinga Leading Australian Bank. You will be instrumental in developing, deploying, and managing end-to-end machine learning workflows in a scalable cloud environment. This role is ideal for professionals who are passionate...

  • MLOps/ML Engineer

    6 days ago

    Sydney, New South Wales, Australia Resource Corner Full time $150,000 - $200,000 per year

    JDExpert in machine learning algorithms, statistical modelling, and experimental designProficiency in Python (and libraries such as scikit-learn, PyTorch, TensorFlow) for model development and deploymentHands-on experience with modern ML and cloud platforms (e.g., Databricks, SageMaker, Vertex AI, Azure ML)Skilled in MLOps practices including CI/CD for ML,...

  • Machine Learning Engineer

    2 weeks ago

    Sydney, New South Wales, Australia Nearmap Full time $120,000 - $180,000 per year

    Company Description Nearmap is the Australian-founded, global tech pioneer innovating the location intelligence game. Customers rely on Nearmap for consistent, reliable, high-resolution imagery, insights, and answers to create meaningful change in the world and propel industries forward.Harnessing its own patented camera systems, imagery capture, AI,...

  • Senior Machine Learning Engineer

    1 week ago

    Sydney, New South Wales, Australia Gumtree Group Full time $120,000 - $180,000 per year

    Join us at Gumtree Group (Gumtree, CarsGuide, Autotrader) as we grow Australia's leading classifieds and lifestyle network, reaching 1 in 4 Aussies every month.About The RoleAs part of our growth journey, we are looking for aSeniorMachine Learning Engineerto join our Technology Team. As a Senior Machine Learning Engineer, you will be responsible for...

  • Principal Machine Learning System Engineer

    2 days ago

    Sydney, New South Wales, Australia Atlassian Full time $120,000 - $200,000 per year

    OverviewWorking at AtlassianAtlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.ResponsibilitiesAbout Central AI OrgOur organization is...

  • Machine Learning Engineer

    4 days ago

    Sydney, New South Wales, Australia Canva Full time $120,000 - $180,000 per year

    *Company DescriptionJoin the team redefining how the world experiences design.*Hey, g'day, mabuhay, kia ora,你好, hallo, vítejteThanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point.*Where And How You Can WorkOur flagship campus is in Sydney, with...