Azure MLOPs Engineer

Infoplus Technologies UK Ltd; Wokingham; On-site; GBP 60,000 - 90,000; Full time

Job summary

Infoplus Technologies UK Ltd is seeking an experienced Azure MLOPs Engineer for a contract role in Wokingham, UK. You will design and maintain ML workflows, deploy models, and automate pipelines in Azure.

You should have 5+ years in MLOps/DevOps, strong Python, and hands-on use of Azure ML, TensorFlow, PyTorch, Scikit-learn, and Azure DevOps. Familiarity with SQL/NoSQL, and data formats like Parquet/JSON is a plus.

Qualifications

• 5+ years of experience in MLOps, DevOps or a related field.
• Strong understanding of machine learning principles and model life cycle management.
• Proficiency in Python with hands-on experience in ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Experience with Azure Machine Learning or any MLOps frameworks.

Responsibilities

• Design, implement, and optimize ML pipelines in Azure.
• Deploy, monitor, and scale ML models in production.
• Create build and release pipelines for ML artifacts.
• Collaborate with data scientists and engineers.

Skills

MLOps

DevOps

Azure ML

Python

TensorFlow

PyTorch

Scikit-learn

SQL

NoSQL

Azure DevOps

Tools

Azure Machine Learning

TensorFlow

PyTorch

Scikit-learn

Azure DevOps

SQL

NoSQL

Blob Storage

Parquet

JSON

Job description

Azure MLOPs Engineer Location: Wokingham, UK Duration: Contract Job Description Your responsibilities:

• 5+ years of experience in MLOps, DevOps or a related field.
• Strong understanding of machine learning principles and model life cycle management.
• Passionate about making things work iteratively and automating and scaling them.
• Deep knowledge of software development and engineering in combination with ML models.
• Experience in development Azure Machine Learning or any MLOPs frameworks.
• Experience with SQL and noSQL environments, Azure SQL database and Storage Account - blob is must.
• Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Experience with cloud platforms Azure machine learning services.
• Experience with monitoring tools and practices for model performance in production.
• Practical ability in creating build and release pipelines in Azure DevOps for ML artifacts.
• Experience in supporting Real Time-inference scenarios with Azure Machine Learning.
• Knowledge of tools, methods, and frameworks used by data scientists.
• Familiarity with data engineering practices and tools.
• Familiarity with data formats such as GRIP, NETCDF, Parquet, and JSON is a plus.
• Azure data scientist associate certificate is plus.
• 5+ years of experience in MLOps, DevOps or a related field.
• Strong understanding of machine learning principles and model life cycle management.
• Passionate about making things work iteratively and automating + scaling them
• Deep knowledge of software development and engineering in combination with ML models
• Experience in development Azure Machine Learning or any MLOPs frameworks
• Experience with SQL and noSQL environments, Azure SQL database and Storage Account - blob is must
• Proficiency in programming languages such as Python, with hands‑on experience in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Experience with cloud platforms Azure machine learning services.
• Experience with monitoring tools and practices for model performance in production.
• practical ability in creating build and release pipelines in Azure DevOps for ML artifacts
• experience in supporting Real Time-inference scenarios with Azure Machine Learning
• Knowledge of tools, methods, and frameworks used by data scientists
• Familiarity with data engineering practices and tools.
• Familiarity with data formats such as GRIP, NETCDF, Parquet, and JSON is a plus.
• Azure data scientist associate certificate is plus.
• 5+ years of experience in MLOps, DevOps or a related field.
• Strong understanding of machine learning principles and model life cycle management.
• Passionate about making things work iteratively and automating + scaling them
• Deep knowledge of software development and engineering in combination with ML models
• Experience in development Azure Machine Learning or any MLOPs frameworks
• Experience with SQL and noSQL environments, Azure SQL database and Storage Account - blob is must
• Proficiency in programming languages such as Python, with hands‑on experience in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Experience with cloud platforms Azure machine learning services.
• Experience with monitoring tools and practices for model performance in production.
• practical ability in creating build and release pipelines in Azure DevOps for ML artifacts
• experience in supporting Real Time-inference scenarios with Azure Machine Learning
• Knowledge of tools, methods, and frameworks used by data scientists
• Familiarity with data engineering practices and tools.
• Familiarity with data formats such as GRIP, NETCDF, Parquet, and JSON is a plus.
• Azure data scientist associate certificate is plus.