Experis UK
AWS Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer based in Radbroke, offering a 6-month+ contract at an inside IR35 pay rate. Key skills include AWS Data Engineering, ML Engineering, MLOps, Python, and experience with ECS and Sagemaker.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 3, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Inside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
Knutsford, England, United Kingdom
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🧠 - Skills detailed
#ML (Machine Learning) #Monitoring #GitLab #Data Engineering #Airflow #Model Deployment #Kubernetes #SageMaker #MLflow #Streamlit #Docker #Flask #Data Pipeline #Jenkins #Python #Cloud #AWS (Amazon Web Services) #PySpark #HTML (Hypertext Markup Language) #AI (Artificial Intelligence) #Deployment #Spark (Apache Spark)
Role description
AWS Date Engineer
Location: Radbroke (Hybrid - 2 days/week in office)
6 Months +
Umbrella Only - Inside IR35
About The Role
We are seeking a highly skilled and experienced Senior AWS Data & ML Engineer to join our team in Radbroke. This hybrid role offers the opportunity to work on cutting-edge machine learning and data engineering projects, leveraging the latest cloud technologies and MLOps practices.
Required / Primary Skills
• AWS Data Engineering
• ML Engineering
• ML-Ops
• ECS, Sagemaker
• Gitlab
• Jenkins
• CI/CD
• AI Lifecycle
• Experience in front-end development (HTML, Stream-lit, Flask
• Familiarity with model deployment and monitoring in cloud environments (AWS).
• Understanding of machine learning lifecycle and data pipelines.
• Proficiency with Python, Pyspark, Big-data ecosystems
• Hands-on experience with MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes)
Secondary Skills
• Experience with RESTful APIs and integrating backend services
All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
AWS Date Engineer
Location: Radbroke (Hybrid - 2 days/week in office)
6 Months +
Umbrella Only - Inside IR35
About The Role
We are seeking a highly skilled and experienced Senior AWS Data & ML Engineer to join our team in Radbroke. This hybrid role offers the opportunity to work on cutting-edge machine learning and data engineering projects, leveraging the latest cloud technologies and MLOps practices.
Required / Primary Skills
• AWS Data Engineering
• ML Engineering
• ML-Ops
• ECS, Sagemaker
• Gitlab
• Jenkins
• CI/CD
• AI Lifecycle
• Experience in front-end development (HTML, Stream-lit, Flask
• Familiarity with model deployment and monitoring in cloud environments (AWS).
• Understanding of machine learning lifecycle and data pipelines.
• Proficiency with Python, Pyspark, Big-data ecosystems
• Hands-on experience with MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes)
Secondary Skills
• Experience with RESTful APIs and integrating backend services
All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
