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Causaly
MLOps Engineer
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Causaly
MLOps Engineer
London
Hybrid
Visa sponsorship
Description
Hybrid requirements: This role has flexible working patterns.
The ML Ops Engineer will be responsible for designing, developing, and maintaining the infrastructure and tools that support our machine learning models. You will work closely with our data scientists, engineers, and product teams to ensure the smooth operation of our ML workflows, from data ingestion to model deployment.
Responsibilities:
Design, implement, and maintain our ML infrastructure, including data pipelines, model training, and deployment workflows
Develop and maintain tools for automating ML workflows, such as data pre-processing, feature engineering, and model evaluation
Collaborate with stakeholders to optimize model performance, scalability, and reliability in production, including monitoring, logging, and troubleshooting
Develop and maintain data quality checks and data validation pipelines
Implement and maintain data versioning and data lineage tracking
Stay up-to-date with the latest developments in ML Ops and recommend best practices and new technologies to the team
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Applied industry experience in MLOps, DevOps, or a related field
Excellent programming skills in Python, with experience in ML frameworks
Experience with containerization
Experience with data pipelines, data warehousing, and ETL processes
Experience with data versioning and data lineage tracking
Strong understanding of ML model deployment, scaling, and management
Excellent problem-solving skills, with the ability to debug complex issues
Strong communication and collaboration skills, with the ability to work with cross-functional teams
Experience with agile development methodologies and version control systems such as Git
Preferred Qualifications:
Experience with MLOps platforms such as MLflow, TensorFlow Extended (TFX), or Kubeflow
Experience with DevOps tools such as Jenkins, GitLab CI/CD, or CircleCI
Experience with BigQuery
Role tech stack
Causaly
MLOps Engineer
London
This role has expired