Machine Learning Engineer
Summary: The Machine Learning Engineer role focuses on leading the migration of machine learning capabilities from AWS Sagemaker to Snowflake ML, requiring expertise in Snowflake and Python. The position involves optimizing ML capabilities within Snowflake and ensuring existing ML models function effectively in the new environment. This is a remote position with occasional in-person meetings in Bristol, offered on a 3-month contract basis.
Key Responsibilities:
- Lead the migration of ML capabilities from AWS Sagemaker to Snowflake ML.
- Proof existing ML models for compatibility with Snowflake.
- Drive optimization of ML capabilities within Snowflake.
Key Skills:
- Strong hands-on experience with Snowflake ML.
- Python expertise - Scikit-Learn, TensorFlow, Pytorch etc.
- Strong understanding of model deployment.
- MLOps - experienced in designing and implementing MLOps frameworks and best practices.
- Strong stakeholder management.
- AWS Sagemaker is a nice to have.
- Experience with feature stores, model registries and ML observability tooling.
Salary (Rate): £750 daily
City: Bristol
Country: UK
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
Machine Learning Engineer
£700-750/day outside IR35
Remote working - once a month in Bristol
3-month initial contract
MUST have experience of ML in Snowflake.
Looking for a Machine Learning Engineer to lead a migration of ML capabilities from existing AWS Sagemaker to Snowflake ML - will need to proof out can existing ML models work in Snowflake.
This role will also drive optimisation of ML capabilities within Snowflake.
Machine Learning Engineer, key skills:
- Strong hands-on experience with Snowflake ML
- Python expertise - Scikit-Learn, TensorFlow, Pytorch etc
- Strong understanding of model deployment
- MLOps - experienced in designing and implementing MLOps frameworks and best practices
- Strong stakeholder management
- AWS Sagemaker is a nice to have
- Experience with feature stores, model registries and ML obserability tooling
Machine Learning Engineer, Snowflake ML, Python, MLOps, Sagemaker
Reasonable Adjustments:
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