Machine Learning Engineer

Salary: £? - ? per year

Requirements:

• We have 5+ years of experience in MLOps, DevOps, or related engineering roles.
• We have strong knowledge of the ML lifecycle and production ML operations.
• We have hands-on experience with Azure Machine Learning and MLOps frameworks.
• We have experience with Azure DevOps, CI/CD pipelines, and automation.
• We have strong Python skills and experience with TensorFlow, PyTorch, or Scikit-learn.
• We have experience with Docker, Azure SQL Database, Storage Accounts, Blob Storage, and SQL/NoSQL technologies.
• We have experience monitoring and supporting production ML environments.
• We have knowledge of data engineering practices and tools.
• We are familiar with GRIB, NetCDF, Parquet, and JSON, which is advantageous.
• Azure Data Scientist Associate certification is desirable.

Responsibilities:

• We deploy and manage ML models in production using Azure Machine Learning.
• We design and maintain Azure-based MLOps infrastructure.
• We build and support Azure DevOps CI/CD pipelines for ML artefacts.
• We implement monitoring, logging, security, and governance controls.
• We manage data pipelines, storage solutions, data versioning, and lineage tracking.
• We support real-time inference and scalable ML workloads, including auto-scaling.
• We collaborate with technical and business stakeholders to optimise model performance and platform reliability.
• We produce and maintain technical documentation.

Technologies:

• Azure
• CI/CD
• DevOps
• Docker
• Support
• JSON
• Machine Learning
• MLOps
• NoSQL
• PyTorch
• Python
• SQL
• Security
• TensorFlow
• Cloud

More:

We are seeking an experienced Azure MLOps Engineer to support the deployment, automation, and management of machine learning solutions within Azure. You will work closely with architects, data scientists, forecasting teams, developers, and DevOps engineers to help deliver scalable, secure, and reliable MLOps platforms supporting large-scale data processing and real-time inference workloads. The role is office-based in Wokingham, with hybrid working and 3+ days per week onsite potentially considered. This is an ASAP start on a 6-month initial contract at a rate of £460 per day inside IR35.

last updated 32 week of 2026