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Sr Azure AI DevOps Engineer/Tech Lead - Azure AI Services

Jumar Solutions
Posted 20 hours ago, valid for a month
Location

Worcester, Worcestershire WR4 0PB

Salary

£60,000 - £72,000 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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  • The position is for a Senior AI DevOps Engineer with a duration of 4 months, offering a salary of £500 - £700 per day, outside IR35.
  • This fully remote role requires extensive experience in IT platforms, particularly in DevOps and cloud services, with a focus on AI and ML technologies.
  • Key responsibilities include operational support of the Developer Platform, leading automation processes, and improving the software development lifecycle.
  • Candidates should possess strong technical leadership skills, experience with Azure AI services, and a solid understanding of networking and security concepts.
  • The role is aimed at UK-based candidates who have the right to work in the UK and are expected to adapt quickly to new technologies.
Senior AI DevOps EngineerDuration: 4 months inially£500 - £700 Per Day - Outside IR35Location: Home based - Role can be performed fully remote Our thriving Business Management Consultancy client has a need for an accomplished, UK based Senior Engineer with strong AI and DevOps skills, to perform a technical leadership role The role will be split between operational support of Developer Platform and ensuring their development and infrastructure teams are able to get to production quickly and safely. There will also be project elements in supporting key initiatives – which will often find you working with new technologies. An aptitude to be adaptable, learn quickly, and to be able to provide your experience to new tools is a must.As the AI and ML DevOps specialist, you will be expected to take a lead role in how to the organisation uses DevOps and Automation processes to support the Data Science and Data Engineering organisation. You will be responsible for process and automation improvement across the SDLC for Infrastructure and Software. Your outcome will be to improve the speed at which they provide innovation value to customers, increase the frequency of delivery the value, ensuring they make changes to production safely, securely, and when there are incidents you are responsible for ensuring the teams have the tools and process in place to improve our recovery times.  Security, FinOps, and cost optimisation are also key elements.This is a technical leadership role and the role will be split between operational support of Developer Platform and ensuring the development and infrastructure teams are able to get to production quickly and safely. There will also be project elements in supporting key initiatives – which will often find you working with new technologies. An aptitude to be adaptable, learn quickly, and to be able to provide your experience to new tools is a must.Core DevOps responsibilities - 
  • CI/CD pipeline creation
  • AI/ML model deployment
  • Building, deploying, and maintaining Azure AI resources
Experience required - 
  • Extensive experience in IT platforms, either as support engineer, infrastructure engineer or software developer
  • Extensive experience in the support and maintenance of DevOps platforms and leading process automation and improvement initiatives
  • Experience with Cloud AI Services – Ideally Azure (such as Azure AI Services, DataBricks and Data Factory)
  • Deep understanding of various authentication protocols and identity management solutions
  • Strong networking skills and experience with virtualization technologies
  • Basic programming knowledge related to application security
  • Excellent problem-solving, analytical, and communication skills
  • Terraform experience with proven ability to deliver and manage infrastructure in a DevOps environment
  • Technical leadership skills – being able to facilitate and drive technical alignment and bring stakeholders on the journey
  • Experience of working in a multi-disciplined team with an understanding of Cloud related concepts such as networking and security
  • Effective communication skills to engage with an ability to not only listen but also advise providing appropriate challenges and questions to find the correct resolution
  • Solid grasp of ITIL around Release, Deployment and Change Management
  • Ability to understand and assess complex and sometimes unfamiliar situations, visualise solutions and see through to resolution and work effectively within a matrix organisation
  • Experience of working with software deployment and orchestration tools such as Docker or Kubernetes from an identity perspective
If your background aligns to the role and you would like to apply, please do so by clicking the link and you will receive an update on your application in due course. Unfortunately, due to the high volume of applications received, we are unable to provide individual feedback to unsuccessful candidates; apologies for any inconvenience caused.Candidates must be UK based and have the right to work in the UK - please consider this when applying.Jumar takes great pride in representing socially responsible clients who not only prioritise diversity and inclusion but also actively combat social inequality. Together, we have the power to make a profound impact on fostering a more equitable and inclusive society. By working with us, you become part of a movement dedicated to promoting a diverse and inclusive workforce.

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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.