Certus Recruitment Group is partnering with an innovative organisation in Brisbane to hire a Machine Learning Engineer to join their growing AI team.

You’ll work across NLP, computer vision, generative AI, and applied ML—building real-world solutions that sit at the intersection of data, design, and user experience.

If you enjoy shaping ideas from prototype to production and collaborating with cross-functional teams, this role offers genuine impact and technical breadth.

Responsibilities  

• Develop and fine-tune ML models across NLP, computer vision, and generative AI.
• Adapt and apply foundation models (OpenAI, Anthropic, Cohere) for targeted use cases.
• Build and maintain data pipelines, experiment tracking, and model deployment workflows.
• Integrate ML capabilities into applications via REST APIs, collaborating closely with software developers.
• Work within major cloud platforms (AWS, Azure, GCP) and ML toolchains (PyTorch, TensorFlow, Hugging Face, MLflow, LangChain).
• Operate in an agile, cross-functional team and contribute to broader AI/ML innovation initiatives.

Requirements

Core Technical Skills

• 3+ years of ML engineering or applied machine learning experience.
• Strong Python capability with ML frameworks (scikit-learn, PyTorch, TensorFlow).
• Experience integrating ML models into production applications and workflows.
• Knowledge of vector search and embedding technologies (FAISS, Pinecone, Weaviate).
• Experience deploying APIs using FastAPI or Flask.
• Comfortable working with structured and unstructured data (text, images, spatial).
• Hands-on experience with AWS, Azure, or GCP.

Development & Collaboration

• Ability to build ML pipelines from prototype through to production.
• Experience with MLflow, Git, Weights & Biases or similar tools for experiment tracking and versioning.
• Strong communication skills with both technical and non-technical audiences.
• Collaborative and proactive approach to problem-solving.

Mindset & Domain Interest

• Research-minded and motivated to apply AI in meaningful, real-world contexts.
• Interest in the built environment, design technology, or complex civic systems is valued.
• Background in architecture, engineering, or design technology is a bonus but not essential.

Preferred (Not Required)

• Experience with LLM orchestration (LangChain, Haystack), RAG, prompt tuning or hybrid search.
• MLOps workflows (Airflow, Argo), model governance, and ML lifecycle optimisation.
• Understanding of AI ethics, data privacy, and explainability.
• Experience building internal AI tools/interfaces for non-technical teams.

Benefits  

• Hybrid working model with flexibility (typically 2–3 days in office).
• Modern Brisbane CBD office with an engaging, collaborative team environment.
• Opportunity to work on cutting-edge AI initiatives across NLP, vision, and generative systems.
• Strong mentorship, cross-disciplinary collaboration, and exposure to diverse design and engineering challenges.
• Career development within a team investing heavily in advanced ML capabilities.

Apply now or reach out for a confidential discussion.

Only candidates currently based in Australia with full working rights will be considered.

• Certus Recruitment Group is a well-established and experienced specialist consultancy providing sales, marketing, and IT recruitment services. We serve the technology sector across Australia, North America, the UK, and Europe.

Certus Recruitment Group is partnering with an innovative organisation in Brisbane to hire a Machine Learning Engineer to join their growing AI team.

You’ll work across NLP, computer vision, generative AI, and applied ML—building real-world solutions that sit at the intersection of data, design, and user experience.

If you enjoy shaping ideas from prototype to production and collaborating with cross-functional teams, this role offers genuine impact and technical breadth.

Responsibilities  

• Develop and fine-tune ML models across NLP, computer vision, and generative AI.
• Adapt and apply foundation models (OpenAI, Anthropic, Cohere) for targeted use cases.
• Build and maintain data pipelines, experiment tracking, and model deployment workflows.
• Integrate ML capabilities into applications via REST APIs, collaborating closely with software developers.
• Work within major cloud platforms (AWS, Azure, GCP) and ML toolchains (PyTorch, TensorFlow, Hugging Face, MLflow, LangChain).
• Operate in an agile, cross-functional team and contribute to broader AI/ML innovation initiatives.

Requirements

Core Technical Skills

• 3+ years of ML engineering or applied machine learning experience.
• Strong Python capability with ML frameworks (scikit-learn, PyTorch, TensorFlow).
• Experience integrating ML models into production applications and workflows.
• Knowledge of vector search and embedding technologies (FAISS, Pinecone, Weaviate).
• Experience deploying APIs using FastAPI or Flask.
• Comfortable working with structured and unstructured data (text, images, spatial).
• Hands-on experience with AWS, Azure, or GCP.

Development & Collaboration

• Ability to build ML pipelines from prototype through to production.
• Experience with MLflow, Git, Weights & Biases or similar tools for experiment tracking and versioning.
• Strong communication skills with both technical and non-technical audiences.
• Collaborative and proactive approach to problem-solving.

Mindset & Domain Interest

• Research-minded and motivated to apply AI in meaningful, real-world contexts.
• Interest in the built environment, design technology, or complex civic systems is valued.
• Background in architecture, engineering, or design technology is a bonus but not essential.

Preferred (Not Required)

• Experience with LLM orchestration (LangChain, Haystack), RAG, prompt tuning or hybrid search.
• MLOps workflows (Airflow, Argo), model governance, and ML lifecycle optimisation.
• Understanding of AI ethics, data privacy, and explainability.
• Experience building internal AI tools/interfaces for non-technical teams.

Benefits  

• Hybrid working model with flexibility (typically 2–3 days in office).
• Modern Brisbane CBD office with an engaging, collaborative team environment.
• Opportunity to work on cutting-edge AI initiatives across NLP, vision, and generative systems.
• Strong mentorship, cross-disciplinary collaboration, and exposure to diverse design and engineering challenges.
• Career development within a team investing heavily in advanced ML capabilities.

Apply now or reach out for a confidential discussion.

Only candidates currently based in Australia with full working rights will be considered.

• Certus Recruitment Group is a well-established and experienced specialist consultancy providing sales, marketing, and IT recruitment services. We serve the technology sector across Australia, North America, the UK, and Europe.