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Data Engineer
Posted 16 days 20 hours ago by Stott and May
Permanent
Full Time
Other
London, United Kingdom
Job Description
Data Engineer
Start: ASAP
Duration: Initial 3- months
Location: Up to 3-days in Knutsford
Pay: Up to £400 p/day (INSIDE IR35)
We are seeking an experienced AWS Data Engineer / MLOps Engineer for a contract role with a focus on delivering robust machine learning solutions in a cloud-native environment.
Key Responsibilities:
- Design and manage data pipelines and AI/ML workflows across the full lifecycle
- Deploy and monitor machine learning models in AWS using services such as SageMaker, ECS, and CI/CD pipelines (GitLab, Jenkins)
- Build and maintain MLOps infrastructure using tools like MLflow, Airflow, Docker, and Kubernetes
- Collaborate on frontend development using HTML, Streamlit, or Flask for model interfaces
- Integrate backend services via RESTful APIs
Required Skills & Experience:
- Strong expertise in AWS, Python, PySpark, and big data ecosystems
- Solid understanding of the machine learning lifecycle and cloud-based model deployment
- Familiarity with CI/CD practices and infrastructure automation
- Experience with monitoring and maintaining production ML models
Secondary Skills:
- Experience with backend API integration and developing RESTful services
Start: ASAP
Duration: Initial 3- months
Location: Up to 3-days in Knutsford
Pay: Up to £400 p/day (INSIDE IR35)
We are seeking an experienced AWS Data Engineer / MLOps Engineer for a contract role with a focus on delivering robust machine learning solutions in a cloud-native environment.
Key Responsibilities:
- Design and manage data pipelines and AI/ML workflows across the full lifecycle
- Deploy and monitor machine learning models in AWS using services such as SageMaker, ECS, and CI/CD pipelines (GitLab, Jenkins)
- Build and maintain MLOps infrastructure using tools like MLflow, Airflow, Docker, and Kubernetes
- Collaborate on frontend development using HTML, Streamlit, or Flask for model interfaces
- Integrate backend services via RESTful APIs
Required Skills & Experience:
- Strong expertise in AWS, Python, PySpark, and big data ecosystems
- Solid understanding of the machine learning lifecycle and cloud-based model deployment
- Familiarity with CI/CD practices and infrastructure automation
- Experience with monitoring and maintaining production ML models
Secondary Skills:
- Experience with backend API integration and developing RESTful services
Stott and May
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