Machine Learning Operations Engineer/MLOPS

Machine Learning Operations Engineer opportunity. You will build and maintain the infrastructure for AI and ML models, focusing on data pipelines, automation, and deployment. This role lives between data engineering and machine learning

Key Skills and Experience:

• Previous experience in tuning and deploying machine learning methods
• Experience of the following predictive modelling techniques; GBMs, Elastic Net GLMs, GAMs, Logistic Regression, Random Forests, Decision Trees, Neural Nets and Clustering
• Experience in DevOps, or other MLOps and ML Lifecycle stacks
• Experience with Docker and Kubernetes
• Experience in creating production grade coding
• Experience in programming languages (eg Python, PySpark, R, SAS, SQL)
• Experience in GitHub
• Strong communication skills both verbally and written