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Graduate Machine Learning Operations Engineer

TIGER RESOURCING SOLUTIONS LIMITED
Posted 12 days ago, valid for 7 days
Location

Edinburgh, City of Edinburgh EH105BP, Scotland

Salary

£30,000 - £36,000 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • A graduate role is available in Edinburgh with a salary of up to £30,000.
  • The position is ideal for recent graduates in Computer Science, Engineering, or Data Science.
  • Candidates will work on operationalising AI solutions and gain hands-on experience with ML workflows in the cloud, focusing on AWS services.
  • The role involves collaboration with data scientists and ML engineers to automate and streamline machine learning pipelines.
  • Applicants should have relevant experience or knowledge in Machine Learning, AWS, DevOps, and related technologies.

****Graduate role paying up to £30,000 in Edinburgh****

Graduate (Computer Science/ Engineering/ Data Science), Machine Learning (ML), AWS, Cloud, DevOps, CI/CD, AI, Python, Ops, AWS, Kubernetes, Docker.

An AI company in Edinburgh are looking for a recent graduate (within a relevant field) to play a key role in operationalising AI solutions to support real-time and batch-based use cases.

You will gain hands-on experience in deploying, monitoring, and optimising ML workflows in the cloud, primarily using AWS services.

Working closely with data scientists and ML engineers, and supported by the Lead Engineer, you will help to automate and streamline machine learning pipelines, ensuring robust, secure, and scalable model delivery in production environments.

Graduate (Computer Science/ Engineering/ Data Science), Machine Learning (ML), AWS, Cloud, DevOps, CI/CD, AI, Python, Ops, AWS, Kubernetes, Docker.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

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