Contract Opportunity: Senior AWS Machine Learning Data Engineer

Location: London | Duration: 6 Months (Extension Possible) | Start Date: ASAP

Rate:andnbsp;Up to andpound;600 a day (Inisde IR35)

Are you a cloud-native data engineer with a passion for building intelligent systems£ I''m looking for a Senior AWS Machine Learning Data Engineer to a cutting-edge team on a contract basis, working on high-impact ML solutions that scale.

About the Role:

In this role, youandrsquo;ll lead the design and implementation of data pipelines and ML infrastructure on AWS. You''ll collaborate with data scientists, architects, and product teams to deliver production-grade ML systems across a variety of domains andmdash; from predictive analytics to real-time personalization.

£ What Youandrsquo;ll Do:

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  Architect and build scalable, secure, and maintainable data pipelines on AWS (Glue, Lambda, Step Functions, S3, Redshift, etc.)

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  Operationalize machine learning models in production environments using SageMaker or custom deployment frameworks

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  Automate and optimize ETL/ELT processes for structured and unstructured data

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  Integrate CI/CD and MLOps best practices for rapid model iteration and deployment

• 
  

  Collaborate across teams to align ML engineering efforts with business needs

£ What Weandrsquo;re Looking For:

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  5+ years of data engineering experience, with 2+ years in a senior role

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  Deep expertise with AWS services (S3, Glue, Lambda, SageMaker, Redshift, etc.)

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  Strong Python and SQL skills; experience with PySpark a bonus

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  Familiarity with containerization (Docker), orchestration (Airflow, Step Functions), and infrastructure as code (Terraform/CDK)

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  Solid understanding of machine learning model lifecycle and best practices for deployment at scale

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  Excellent communication skills and the ability to work independently in a remote environment

£ Bonus Points:

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  Experience with real-time data streaming (Kafka, Kinesis)