MachineLearningEngineer Initial 6 month contract Location: Dublin, Ireland Rate: Competitive An urgent and exciting new opportunity has opened up for a MachineLearningEngineer to join my high-profile client in the finance sector, based in Dublin, Ireland. This is an initial … be hybrid (3 days per week in Dublin office). You must be based in Ireland. Required skills: 5+years experience in Data Science/MachineLearning Deploying Pipelines AWS Kubernetes Docker Strong Python experience For contractual reasons, candidates for consideration must be based in Ireland. For more information more »
MLE Engineer - Azure SR2 is recruiting for one of the UK's leading AI companies and looking for a MachineLearningEngineer (MLE) on an outside IR35 contract basis. We are looking for out and out MLE's with strong commercial MachineLearning experience … using the Azure/Microsoft ML suite. Responsibilities: Building software and infrastructure that leverages MachineLearning Creating reusable, scalable tools to enable better delivery of ML systems Improving existing systems to enable more scalable, reliable, and maintainable ML systems Working with our customers to help understand their needs … best practices and new technologies Experience required: Technical experience of cloud architecture, system design, security, and deployment Understanding of and interest in the full machinelearning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Azure managed ones (Azure ML Workspace more »
MLE Engineer - Azure SR2 is recruiting for one of the UK's leading AI companies and looking for a MachineLearningEngineer (MLE) on an outside IR35 contract basis. Responsibilities: Building software and infrastructure that leverages MachineLearning Creating reusable, scalable tools to enable … best practices and new technologies Experience required: Technical experience of cloud architecture, system design, security, and deployment Understanding of and interest in the full machinelearning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Azure managed ones (Azure ML Workspace more »