AI/ ML engineer
Role details
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Tech stack
Job description
Tasks AI/ML Engineer Location: London 5months+ contract We are seeking a Senior AI & Data Platform Engineer to design, build, test, and deploy AI-enabled applications and data engineering solutions on AWS. The role requires strong hands-on experience across AI solution development, data engineering, cloud infrastructure, and CI/CD automation, with a focus on security, scalability, and governance. Requirements Strong experience in AI/ML-enabled application development, ML pipeline creation and deployment - Scikit Learn, PyTorch and TensorFlow In-depth knowledge on AI/ML architecture, platforms and frameworks Hands-on data engineering experience (ETL/ELT, data modelling, transformations). Proficiency with AWS services and cloud-native architectures. Strong testing discipline across unit, integration, UAT, and non-functional testing. Experience implementing AI security guardrails and governance controls. Design, build, test, and deploy AI-enabled applications aligned to Proof of Concept (PoC) baseline capabilities. Support the development of test cases and validation frameworks across AI and data solutions Responsibilities The Senior AI & Data Platform Engineer will be responsible for designing, building, testing, and deploying AI-enabled applications and data engineering solutions primarily on the AWS platform. This includes supporting the development of test cases and validation frameworks across the developed AI and data solutions.
Requirements
Ai/Ml, Data Engineering, Aws, Ci/Cd Automation, Scikit Learn, Pytorch, Tensorflow, Etl/Elt, Data Modelling, Transformations, Cloud-Native Architectures, Testing, Ai Security, Governance Controls, PoC Development, Validation Frameworks