Machine Learning Operations (ML Ops) Engineer
Immingham, England, United Kingdom
TieTalent
principles and practices (e.g. OWASP for Machine Learning) Working knowledge of Unix-based CLI commands, source control and scripting Working knowledge of containerisation (e.g. Docker) and container orchestration (e.g. Kubernetes) Working knowledge of a cloud data platform (e.g. Databricks) and a data lakehouse architecture (e.g. Delta Lake) Working knowledge of the AWS cloud technology stack (i.e. S3, Glue, DynamoDB, IAM … and/or location has had sufficient applications. Nice-to-have skills Python SQL Numpy Pandas PySpark YAML Terraform TensorFlow PyTorch Keras Scikit-learn Unit Testing Python Scripting Docker Kubernetes AWS S3 DynamoDB Immingham, England Work experience Machine Learning DevOps Languages English Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering More ❯
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