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ML Ops Engineer (with Data Science and DevOps experience) 3 days a week London - 6 months
Key requirement:
- ML Ops Engineer with experience in data science, DevOps, and AWS SageMaker for model deployment (ML lifecycle).
- Excellent soft skills
Essential skills:
Demonstrated experience deploying and maintaining AI/ML models in production environment using AWS SageMaker.
Hands-on experience with AWS Machine Learning and Data services: SageMaker
Ability to develop and host microservices and REST APIs using Flask, FastAPI, or equivalent frameworks.
Proficiency with SQL, version control (Git), and working with Jupyter or RStudio environments.
Strong cross-functional collaboration skills and the ability to explain technical concepts to nontechnical stakeholders.
URGENT CONTRACT
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