Role: Machine Learning Engineer
Work Mode & Location: Hybrid (2 days in London office)
Job Type: Contract (12 months)
Role Overview:
The ML Ops Engineer will support the development and deployment of machine learning models for a large-scale service provider in London. You will be responsible for developing, deploying, and maintaining these models.
They are investing heavily in their data and ML Platforms so you will get exposure to some really interesting projects.
This is a Hybrid work opportunity with a mix of office and remote working, so that you will have a good work-life balance.
Required skills/experience:
Experience with machine learning methodologies and scalable ML deployments.
Skilled in building MLOps pipelines on Azure Cloud, automating model monitoring, and managing data/model drift.
Strong Python (PySpark) and ML framework expertise (PyTorch, ONNX, XGBoost), with knowledge of CI/CD and Azure tools.If interested please please apply here or send across your latest CV to rakesh. muthyala @ randstaddigital .com
Randstad Technologies is acting as an Employment Business in relation to this vacancy
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Role: Machine Learning EngineerWork Mode & Location: Hybrid (2 days in London office)Job Type: Contract (12 months)Role Overview:The ML Ops Engineer will support the development and deployment of machine learning models for a large-scale service provider in London. You will be responsible for developing, deploying, and maintaining these models.They are...
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