2 of 2 Permanent MLflow Jobs in Manchester

in core Data Science practices including data preprocessing, feature engineering, model evaluation, data orchestration, and data structures, etc Hands-on with AIOps/MLOps/ModelOps tooling (Docker, Kubernetes, MLflow, model monitoring, CI/CD) Experience integrating AI/ML solutions into business processes and operational systems Ability to work closely with stakeholders, translating business needs into technical solutions Strong More ❯

of AWS services such as SageMaker, S3, EC2, VPC, Lambda, Redshift Experience of DevOps practices, including containerisation with Docker and CI/CD pipelines. Exposure to MLOps tools (e.g., MLFlow) and practices, with a willingness to learn more. Exposure to infrastructure-as-code tools (CDK, CloudFormation) Knowledge of feature engineering, data pre-processing, data pipelines Awareness of optimisation, monitoring, and More ❯