New Update,
Please share more profiles and share below hands on experience in number of years. In AWS we are actually looking for experience on AWS S3, and Sagemaker as mandatory skills.
*Redis cluster setup
*Kafka/Flink streaming pipelines
*S3 Data pipeline
*Real time micro batches implementation (5 minutes, hourly, daily)
*Mongo/Atlas as alternative implementation (we might land with S3 instead)
*SageMaker MLOps / SageMaker Training / SM Model Deployment
*Pytorch
Hello Partners,
We got a new role (2 position) please submit profiles on this Job ID Contractor (32865) and (32866). Need immediate fulfilment .
Once you submit profiles on the system, please make sure you send a formal submittal in an email with all details in below format
We are looking for min 6-7 years of experience. This is Mid-senior role.
Title – ML Engineer
Location: London UK
Duration: 5 Months (Extendable as per business needs)
Hybrid (Weekly twice)
Bill Rates- 550 GBP per day (Preferred Inside IR35)
Pay rate: 450 GBP per day
Job Description:
*Redis cluster setup
*Kafka/Flink streaming pipelines
*S3 Data pipeline
*Real time micro batches implementation (5 minutes, hourly, daily)
*Mongo/Atlas as alternative implementation (we might land with S3 instead)
*SageMaker MLOps / SageMaker Training / SM Model Deployment
*Pytorch
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ML Engineer in London employer: American IT Systems
Palantir is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among high-complexity teams. With a focus on employee growth, we provide opportunities for professional development in cutting-edge technologies like Kubernetes and Terraform, all while contributing to meaningful projects that support UK Government programs in defense. Our London location not only offers a vibrant city life but also a unique chance to work on secure and scalable infrastructure that makes a real impact.
