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Architect, build, and maintain production-grade ML Ops pipelines to automate deployment, monitoring, and scaling of machine learning models.
Collaborate with data scientists and ML engineers to reduce time-to-production for experiments and prototypes.
Design and optimize data wrangling and transformation workflows using Python.
Leverage AWS cloud services (EC2, S3, Lambda, SageMaker, RDS...
About the Role
Senior Data Engineer (AI & MLOps) – Software – Newcastle/Hybrid or Remote
Day rate: £300 – £500 (Inside IR35)
Duration: 6 months
Start: ASAP
My new client is looking for a Senior Data Engineer with expertise in AI, MLOps, and AWS architecture to design and deliver production-grade machine learning pipelines. The ideal candidate will be passionate about bridging the gap between data science experimentation and scalable production systems, driving automation, and enabling faster innovation cycles.
Key Responsibilities
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