About the Role
Our client is looking for a MLOps Engineer and Tech Lead to join their team on a six month initial contract, working two days a week onsite in London and rest remotely. This role is Inside IR35.
Essential skills/knowledge/experience:
* Knowledge of machine learning frameworks (e.g., PySpark, PyTorch) and model deployment tools (e.g., MLflow, TensorFlow Serving).
* Strong experience with data processing frameworks (e.g., Apache Spark, Flink).
* Expertise in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra).
* Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services (e.g., Snowflake, S3, BigQuery, Redshift).
* Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
* Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
Essential skills/knowledge/experience:
* Knowledge of machine learning frameworks (e.g., PySpark, PyTorch) and model deployment tools (e.g., MLflow, TensorFlow Serving).
* Strong experience with data processing frameworks (e.g., Apache Spark, Flink).
* Expertise in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra).
* Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services (e.g., Snowflake, S3, BigQuery, Redshift).
* Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
* Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
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