3 Contract Machine Learning Engineer Jobs in the UK

Senior Machine Learning Engineer Duration: 3-months Start: ASAP Day Rate: £550 Inside IR35 (FCSA Approved Umbrella) Location: London (3 days onsite a week) Are you a Senior Machine Learning Engineer looking for a challenge working with a Global Marketing Agency? The Senior Machine Learning Engineer will have the chance to collaborate with large technical teams and work in a fast past, forward thinking mindset. We're looking for the Senior ML Engineer to be involved in their ongoing and upcoming projects which will take you past the initial … month period. The Senior Machine Learning Engineer will have more Product focused skills around Python testing. You'll be comfortable with AWS and all of the data services it comes with, redshift etc. You'll work with the predictive models and maintain them throughout. If you're more »

MLE Engineer - Azure SR2 is recruiting for one of the UK's leading AI companies and looking for a Machine Learning Engineer (MLE) on an outside IR35 contract basis. We are looking for out and out MLE's with strong commercial Machine Learning experience … using the Azure/Microsoft ML suite. Responsibilities: Building software and infrastructure that leverages Machine Learning 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 machine learning 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 Machine Learning Engineer (MLE) on an outside IR35 contract basis. Responsibilities: Building software and infrastructure that leverages Machine Learning 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 machine learning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Azure managed ones (Azure ML Workspace more »