Biosensor R&D Engineer
Apply now Job no: 529943Work type: Full TimeLocation: Sydney, NSWCategories: Research Administration support The Opportunity... more info
Machine Learning Engineer / MLOps Engineer My client is looking for a Machine Learning Engineer / MLOps Engineer to join a restructured Data Science & Engineering team. This role focuses on deploying, managing, and scaling machine learning models on the Azure cloud platform. You’ll collaborate with data scientists, engineers, and business stakeholders to deliver impactful, real-time ML solutions for their ecosystem. Key Responsibilities: Build and maintain scalable MLOps pipelines to deploy ML models into production. Leverage Azure tools like Azure Machine Learning, AKS, and Azure Data Factory for automation and scaling. Partner with data scientists to operationalize and monitor ML models. Implement tools for tracking model performance and ensure continuous improvement. Develop CI/CD pipelines for ML workflows and optimize data pipelines. Ensure compliance with security standards and document workflows for transparency. About You: 3+ years of experience in Machine Learning or MLOps. Expertise with Azure services, Python, and ML frameworks (e.g., TensorFlow, PyTorch). Experience with CI/CD, Kubernetes, and containerization tools like Docker. Strong collaboration skills with a problem-solving mindset. Nice to Have: Experience with MLFlow, Kubeflow, or real-time streaming tools like Kafka. Familiarity with deep learning techniques and model explainability. Ready to make an impact? Apply now! #J-18808-Ljbffr
Apply now Job no: 529943Work type: Full TimeLocation: Sydney, NSWCategories: Research Administration support The Opportunity... more info
The Candidate We Seek You are ambitious and you want to manage projects with leading wind turbine manufacturers and a diverse... more info
Job Title: Facilities ManagerPay rate: £40,000 - £42,000 based on experienceJob Location: LeicesterShifts: Monday-Friday... more info