Senior Machine Learning Engineer

Role name:

Lead Machine Learning Engineer

Role Type:

InsideIR35 Contract

Duration:

6 Months

Location:

Manchester - Hybrid 2-3 days/week

Role Description:

Work closely with Morrisons Data Team on building Deployment Environment and Enterprise Launching of a set of Models [Predictive/Text-Embedding/Foundation etc.]Build the Deployment Maturity with ML pipelines Monitoring and Operations Support of the Models Work closely with the Morrisons Data Science Team and Process Innovation Team to understand and improve the ways of working.

Competencies:

Digital: Machine Learning, Digital: Google Cloud

Experience (Years):

10 & Above

Essential Skills:

Professional Knowledge on building ML Pipelines in Kubeflow, TFX using vertex AI as Orchestration layer.SDLC Maturity on Model Deployment & MonitoringProfessional Knowledge in PythonMaturity in Model Deployments which includes Data Preprocessing, Optimization & Training, Serialization if needed.AB Testing of ModelsGCP KnowledgeCICDCT of ModelsExpertise in implementing and maintaining Container Registry,Artefact Registry for the ML models.Expertise in Code coverage and static code analysis tools like Pylint. Expertise in CML [Continuous Machine Learning] to implement CICD in ML Models.