Machine Learning Engineer – Snowflake ML Migration

About the role

We are seeking a Machine Learning Engineer to lead the migration of our existing ML capabilities from AWS SageMaker to Snowflake ML. The role is remote with occasional visits to our Bristol office and starts with a three‑month contract.

Key responsibilities

• Assess and proof‑of‑concept existing SageMaker models in Snowflake ML.
• Design and implement the migration strategy for ML workloads.
• Optimise and enhance ML pipelines within Snowflake.
• Collaborate with stakeholders to ensure seamless deployment and monitoring.

Required profile

• Proven hands‑on experience with Snowflake ML.
• Strong Python background, including Scikit‑Learn, TensorFlow or PyTorch.
• Deep understanding of MLOps and model deployment best practices.
• Ability to manage stakeholder expectations and deliver results.

Required skills

• Snowflake ML
• Python
• Scikit‑Learn
• TensorFlow
• PyTorch
• MLOps frameworks
• AWS SageMaker (nice to have)
• Feature stores, model registries and ML observability tooling

What we offer

• Competitive daily rate of £700‑£750.
• Remote working with monthly on‑site meetings in Bristol.
• Opportunity to shape ML strategy in a fast‑growing environment.