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Momentum Consulting Group Limited

ML Engineer / Senior ML Engineer

  • Posted 1d ago
  • Hybrid
  • Full Time

$140  -  $200 k/yr

Auckland

Job Description

Own the path from trained model to production system with a growing AI team.

  • Build the CI/CD, monitoring and deployment backbone for ML models at scale
  • Auckland CBD + Hybrid + Permanent
  • Sit at the intersection of data science, engineering and cloud

A well-known organisation in the financial services & insurance space is building out its MLOps capability and needs someone to own the path from trained model to production system.


The Role

  • Productionise machine learning models built by data scientists, ensuring robustness, scalability and performance
  • Design feature pipelines, model training workflows and inference services
  • Build and maintain CI/CD pipelines for ML models, covering training, testing, deployment and monitoring
  • Implement model versioning, experiment tracking and reproducibility standards
  • Set up monitoring for model performance, drift, data quality and operational health
  • Operate ML workloads on cloud platforms, with containerisation and orchestration where it makes sense
  • Embed responsible AI practices, including explainability and bias monitoring, in a regulated environment

What You'll Bring

Must-haves:

  • Over 3 years in ML engineering, MLOps, or software/data engineering with ML in production
  • Strong Python skills (familiarity across scikit-learn, TensorFlow, PyTorch or XGBoost is preferred)
  • Experience building and operating ML pipelines in a production environment
  • Solid software engineering fundamentals: testing, CI/CD, version control
  • Experience with cloud platforms and managed ML services

Nice to haves:

  • Background in financial services or insurance
  • Familiarity with MLflow, Kubeflow, Airflow, SageMaker, Vertex AI or Azure ML
  • Exposure to model explainability techniques such as SHAP or LIME

Why This Role

You'll sit right at the intersection of data science, engineering and cloud, with a direct hand in how AI gets deployed and trusted across the business. It's a role for someone pragmatic and delivery-focused who wants ownership of the platform, not just the pipeline.


How to Apply

Apply now, or reach out to Bruce Batters at Momentum Consulting for a confidential chat: bruce.batters@momentum.co.nz

Desired Hard Skills

  • Data Engineering
  • MLOps
  • Python
  • Machine Learning
  • CI/CD
  • Cloud Platforms
  • Containerisation
  • Orchestration
  • Software Engineering

Desired Soft Skills

  • Ownership
  • Delivery-Focused
  • Pragmatic

Job Schedule

  • Monday to Friday

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