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Machine Learning Ops Engineer

Access Computer Consulting plc
Posted 19 hours ago, valid for 10 days
Location

London, Greater London SE12 0TX, England

Salary

£50,000 - £60,000 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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  • I am recruiting for a Machine Learning Ops Engineer to work on a hybrid basis, with 2 days a week in North Greenwich and 3 days remote.
  • The position requires technical experience as a Machine Learning Ops Engineer with a focus on large-scale projects.
  • Experience in implementing ML models using the Azure stack, as well as proficiency in Python and Scala, is essential.
  • The role falls inside IR35, necessitating work through an umbrella company for the contract duration.
  • Salary details are not provided, but candidates should have significant experience in the field.

I am recruiting for a Machine Learning Ops Engineer to work on a hybrid basis - 2 days a week in North Greenwich, 3 days remote.

The role falls inside IR35 so you will need to work through an umbrella company for the duration of the contract.

You must have technical experience as a Machine Learning Ops Engineer.

As the Machine Leaning Ops Engineer you will have worked on numerous projects of a large scale and size.

Experience of implementing ML models using the Azure stack is essential.

You must also have experience in Python and Scala in relation to ML models.

You will be accountable and responsible for understanding the requirements, ensuring the model is built to production standards, looking at how the model can be deployed, as well as streamlining the processes, automating those processes, and ensuring that the client is using the right tools correctly.

Initially you will be responsible for reviewing the D&A Data Science proof of concept. You will need to understand through the D&A Product Owner the requirements and what the output needs to look like. You will then ensure that the model has been developed in a manner that ports to a production environment and will provide feedback and guidance on any model changes that would be needed to optimise for production deployments.

If this role is of interest please apply ASAP to find out more!

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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.