Lead Engineer, MLOps (London)
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The role
Lead Engineer, MLOps responsible for deploying ML models to cloud environments and ensuring scalable, reliable AI/ML infrastructure.
Own Docker container orchestration and Terraform-based infrastructure as code to manage cloud resources.
Design and operate streaming data pipelines with Kafka and Kinesis, along with ETL/data cleaning processes.
Establish and maintain CI/CD pipelines (Jenkins, GitLab CI) to productionize models and automate releases.
Strong Python programming with exposure to ML frameworks (TensorFlow, PyTorch) and a focus on robust problem-solving and creative thinking.
Communicate complex technical concepts to non-technical stakeholders and collaborate with cross-functional teams.
Own Docker container orchestration and Terraform-based infrastructure as code to manage cloud resources.
Design and operate streaming data pipelines with Kafka and Kinesis, along with ETL/data cleaning processes.
Establish and maintain CI/CD pipelines (Jenkins, GitLab CI) to productionize models and automate releases.
Strong Python programming with exposure to ML frameworks (TensorFlow, PyTorch) and a focus on robust problem-solving and creative thinking.
Communicate complex technical concepts to non-technical stakeholders and collaborate with cross-functional teams.
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