Multiple Data & AI Roles – Work with a Leading Organisation
Peoplebank
Date: 13 hours ago
City: Sydney, New South Wales
Contract type: Full time
Our client is investing heavily in their internal Data & AI capability and has engaged us to support the recruitment of several key roles. These positions are permanent, Sydney-based (with hybrid flexibility), and sit within a major transformation program focused on enabling advanced analytics, GenAI, and machine learning services.
We’re currently recruiting across the following areas:
Machine Learning Engineers & Data Scientists
Hands-on experience with Azure ML, Databricks, SageMaker, PySpark, TensorFlow, and Scikit-learn. Strong understanding of ML model development and deployment is essential.
NLP & LLM Engineers
Focus on large language model (LLM) development, fine-tuning, and prompt engineering using tools like Azure OpenAI and HuggingFace. Experience with GenAI, RAG, and text analytics is highly regarded.
MLOps Engineers
Support the full ML lifecycle with MLFlow, CI/CD, Azure Functions, Terraform, and Kubernetes. Prior experience in scaling AI/ML solutions is key.
Data Engineers (AI-Focused)
Design and build robust data pipelines using Azure Data Factory, Synapse, Databricks, PySpark, and SQL to support analytics and AI workloads.
What We’re Looking For:
• Strong hands-on experience with Azure data and ML tools
• Ability to work in a fast-paced, delivery-focused environment
• Passion for innovation and driving data capability within a large enterprise
If you're looking for your next long-term move with real impact, this is it. Apply now or get in touch to learn more. For a confidential discussion please contact Nic Gulliver at [email protected]
We’re currently recruiting across the following areas:
Machine Learning Engineers & Data Scientists
Hands-on experience with Azure ML, Databricks, SageMaker, PySpark, TensorFlow, and Scikit-learn. Strong understanding of ML model development and deployment is essential.
NLP & LLM Engineers
Focus on large language model (LLM) development, fine-tuning, and prompt engineering using tools like Azure OpenAI and HuggingFace. Experience with GenAI, RAG, and text analytics is highly regarded.
MLOps Engineers
Support the full ML lifecycle with MLFlow, CI/CD, Azure Functions, Terraform, and Kubernetes. Prior experience in scaling AI/ML solutions is key.
Data Engineers (AI-Focused)
Design and build robust data pipelines using Azure Data Factory, Synapse, Databricks, PySpark, and SQL to support analytics and AI workloads.
What We’re Looking For:
• Strong hands-on experience with Azure data and ML tools
• Ability to work in a fast-paced, delivery-focused environment
• Passion for innovation and driving data capability within a large enterprise
If you're looking for your next long-term move with real impact, this is it. Apply now or get in touch to learn more. For a confidential discussion please contact Nic Gulliver at [email protected]
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