MLOps / DataOps Engineer - Outside IR35

Investigo have been exclusively retained by one of our key consulting partners to assist in the development of a greenfield project, building out the MLOps function of a world leading Life Sciences organisation. We are currently hiring for multiple contract MLOps / DataOps Engineer and Developers to assist in this programme.

The roles are fully remote and will offer a 12 month initial contract, aiming to start in mid to late Jan, although with various staggered start dates through Jan, Feb and March, pending availability of suitable consultants.

Key Responsibilities

• Provide best practices, guidances, and support to data science team
• Data versioning
• Model tracking
• Experiment tracking
• Code bundling for ease-of-deployment
• Covert developed data/ML pipelines into scalable pipelines based on the infrastructure available
• E.g. Convert Python based data science code into PySpark/SQL for scalable pushdown execution
• Develop continuous monitoring & training pipelines allowing model training in PROD by collaborating with data science team
• Determine model performance monitoring metrics
• Determine retraining trigger mechanism
• Design champion/challenger model and A/B Testing
• Develop CI/CD orchestration for the data science training pipeline
• Mange the production deployments

Skillset:

Strong understanding of data science development lifecycle (CRISP)

Strong hands-on skills in software engineering (e.g., Python)

Strong hands-on skills in containerization (e.g. AWS EKS, Kubernetes)

Strong hands-on skills for data pipeline orchestration (e.g. Airflow)

Deep understanding of MLOps principles and tech stack (e.g. MLFlow)

Hands-on skills in CI/CD (e.g. Jenkins, Artifact Factory, Spinnaker, Grafana)

Previous experience with AWS Sagemaker - Preferred

Please apply with an up to date version of your CV if this is of interest. This is a truly exciting, long term programme paying great rates outside of IR35.