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Machine Learning Engineer
London
Paying up £550 per day via umbrella company
12 month contract
I am currently looking for a Machine Learning Engineer who is able to support the development and deployment of Machine Learning models.
You will be responsible for:
Working with Data Scientists, and Data Engineers to collectively Development and deply ML models within their platform.
Apply the appropriate machine learning algorithms and tools
Train junior team members to ensure all components are delivered in line with Data & Analytics Standards.
Implement and optimise machine learning algorithms using programming languages such as Python, and Scala.
Use machine learning libraries and frameworks such as PyTorch, ONNX, and XGBoost.
Improve Accuracy and efficiency by evaluating model performance and conducting A/B testing.
Adhere to Machine Learning Ops best practices
Continuously improve the development, deployment and monitoring of ML models
You must have:
Extensive Python programming experience as well as PySpark,
Proven track record using machine learning libraries and frameworks including PyTorch, ONNX, and XGBoost. Previous software testing experience as well as CI/CD principles and version control (Git, MLFlow) for automated deployment of machine learning systems
You need to have a solid understanding of Azure cloud platform
If you have similar experience, please apply to find out more
Machine Learning Ops Engineer
Location: | Londres |
Job Type: | Durée déterminée |
Specialisation: | Information Technology |
Salary: | £450 - £550 per day |
Reference: | BBBH15168_1729596113 |
Contact: | Charlotte Worcester |
Email: | email Charlotte |
London
Paying up £550 per day via umbrella company
12 month contract
I am currently looking for a Machine Learning Engineer who is able to support the development and deployment of Machine Learning models.
You will be responsible for:
Working with Data Scientists, and Data Engineers to collectively Development and deply ML models within their platform.
Apply the appropriate machine learning algorithms and tools
Train junior team members to ensure all components are delivered in line with Data & Analytics Standards.
Implement and optimise machine learning algorithms using programming languages such as Python, and Scala.
Use machine learning libraries and frameworks such as PyTorch, ONNX, and XGBoost.
Improve Accuracy and efficiency by evaluating model performance and conducting A/B testing.
Adhere to Machine Learning Ops best practices
Continuously improve the development, deployment and monitoring of ML models
You must have:
Extensive Python programming experience as well as PySpark,
Proven track record using machine learning libraries and frameworks including PyTorch, ONNX, and XGBoost. Previous software testing experience as well as CI/CD principles and version control (Git, MLFlow) for automated deployment of machine learning systems
You need to have a solid understanding of Azure cloud platform
If you have similar experience, please apply to find out more