ML Ops Engineer

ML Ops Engineer page is loaded ML Ops Engineerlocations: Londontime type: Full timeposted on: Posted Yesterdaytime left to apply: End Date: November 16, 2025 (16 days left to apply)job requisition id: JR0391 Key Responsibilities • Implement and manage workflows for deploying machine learning models to production using CI/CD pipelines and containerization (e.g., Docker). • Build and maintain scalable ML pipelines to support model building, deployment and model management. • Monitor the performance and reliability of ML pipelines in production, troubleshooting issues to ensure smooth operations. • Contribute to the development of MLOps features that support scalable model workflows, including monitoring and versioning tools. Your Skills and Experience Essential • Experience as an MLOps Engineer, ML Engineer, Software Engineer, or similar with a focus on deploying and maintaining machine learning models in production. • Familiarity with the ML lifecycle, including experimentation, validation, deployment, and maintenance. • Working knowledge of MLOps tools such as feature stores, model registries, or experiment tracking. • Proficient in Python and SQL, with experience using ML frameworks and libraries like Pandas and NumPy. • Familiarity with CI/CD principles and experience implementing workflows using tools like GitHub Actions or similar. • Experience with containerized workflows (e.g., Docker); familiarity with AWS services such as SageMaker, S3, or Lambda is a plus. • Experience with model monitoring to ensure deployed models remain accurate and reliable. • Familiarity with version control (Git) and collaborative workflows. Desirable Skills and Skills we would love you to know or learn • Experience deploying models in regulated industries such as financial services or fintech. • Knowledge of security principles related to deploying machine learning models in production. • Familiarity with Infrastructure as Code (IaC) tools such as CDK or Terraform. • Familiarity with monitoring and logging tools (e.g., AWS CloudWatch or similar) for observability. • Experience with Snowflake for data storage and retrieval. Your Personal Attributes • Demonstrates a proactive approach to resolving production issues. • Delivers high-quality, reliable work with attention to detail. • Curious and eager to learn new tools, technologies, and methodologies. • Takes responsibility for their work and supports team success. • Approaches challenges with openness and values feedback. • Good communicator, able to explain technical concepts clearly to others. We work with Textio to make our job design and hiring inclusive. Permanent