Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with an initial 3-month contract, paying up to £400 p/day (INSIDE IR35), located in Knutsford. Key skills include AWS, Python, PySpark, and MLOps experience, particularly in machine learning lifecycle and cloud deployment.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
400
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🗓️ - Date discovered
August 29, 2025
🕒 - Project duration
3 to 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Inside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#MLflow #HTML (Hypertext Markup Language) #GitLab #Streamlit #Model Deployment #Jenkins #Automation #AI (Artificial Intelligence) #Docker #Airflow #Kubernetes #AWS (Amazon Web Services) #Monitoring #Spark (Apache Spark) #Deployment #Python #ML (Machine Learning) #Flask #Data Pipeline #PySpark #Cloud #Big Data #Data Engineering #SageMaker #API (Application Programming Interface)
Role description
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
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
