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Upload NowDEVOPS ENGINEER - ML
UK BASED/ REMOTE
£600-£650 PER DAY
12 MONTHS
A chance to support and enhance the delivery of a Machine Learning Platform on Azure.
THE COMPANY:
As a DevOps Engineer you will help to develop a cloud infrastructure in Azure for Machine Learning. You will sit in a new business unit and help set the global footprint of how other business units in the company will operate. As a DevOps Engineer you will be helping build out the infrastructure working alongside Data Scientist, Software Engineers and other Cloud Engineers.
THE ROLE:
As a DevOps Engineer you will help to develop an infrastructure in order for Machine Learning models to be deployed. As a DevOps Engineer you must have expertise in Kubernetes and cloud-native tools. As a DevOps Engineer you must have familiarity working on AI platforms specifically and supporting ML capabilities. As a DevOps Engineer, an understanding of Python is important as though the team has Python Engineers they lack the ability to Dockerise the code and so you will be supporting them in this. As a DevOps Engineer you will mainly be working in Azure so a good understanding of this platform is preferable however they are looking for a DevOps Engineer who is cloud-native and not siloed to one cloud. Alongside Kubernetes you must have expertise in Terraform as well as good familiarity with tools such as Prometheus, Grafana and Elastic Stack. As you will be working on an AI platform any exposure to Seldon or Kubeflow is extremely advantageous.
YOUR SKILLS AND EXPERIENCE:
NICE TO HAVE:
HOW TO APPLY:
Please register your interest by sending your CV to Anna Greenhill via the Apply link on this page.
£60000 - £65000 per annum + Benefits
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We help the best talent in the Digital analytics market to find rewarding careers.
Simply upload your CV and select your areas of interest and our expert recruitment consultants will be in touch
Upload NowWith over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
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