Remote MLOps Engineer Job in UK Intapp

Who you are

• 3-4 years experience in data engineering DevOps or related field.
• Proven experience with Azure Machine Learning Azure Data Factory and Azure DevOps.
• Strong familiarity with ML concepts and training pipelines.
• In-depth knowledge of CI/CD best practices and automation tools.
• Excellent communication and collaboration skills.
• Ability to work independently and in a cross-functional team.

What the job involves

• Collaborate with stakeholders to define MLOps strategies aligned with business objectives.
• Identify gaps and opportunities in current infrastructure and tooling for MLOps implementation.
• Design and implement end-to-end ML deployment pipelines.
• Automate and optimize all stages of data and ML workflows.
• Architect scalable ML infrastructure using cloud platforms and container technologies.
• Establish CI/CD pipelines for automated ML model deployment.
• Implement security and governance for ML infrastructure.
• Provide training and mentorship on MLOps practices.

Application process

• Contacted by Intapp recruiter.
• Participation in 3+ virtual or in-person interviews.
• Background checks for position applicability.