Stott and May

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). It requires AWS, Python, PySpark expertise, and experience in machine learning lifecycle and cloud deployment. Location: Hybrid in Knutsford.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
400
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🗓️ - Date
October 11, 2025
🕒 - Duration
3 to 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#PySpark #HTML (Hypertext Markup Language) #Big Data #AWS (Amazon Web Services) #API (Application Programming Interface) #Cloud #MLflow #Jenkins #Streamlit #Data Engineering #Docker #Kubernetes #AI (Artificial Intelligence) #GitLab #Python #Automation #SageMaker #Spark (Apache Spark) #Data Pipeline #Flask #Deployment #Model Deployment #Airflow #ML (Machine Learning) #Monitoring
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