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Client:
SSE Enterprise
Location:
Reading, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
a9c516b7ae55
Job Views:
5
Posted:
12.08.2025
Expiry Date:
26.09.2025
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Job Description:
* Job Number: 554665
* Closing at: Aug 15 2025 - 23:55 BST
About the Role
Salary: £61,620 - £72,592 and a range of other benefits to support your family, finances and wellbeing.
Working Pattern: Permanent | Full Time | options available
The role
As a Senior AI DevOps Engineer in the Business Energy CCAAS and AI platform team at SSE, you will play a key role in developing advanced AI applications, utilising technologies like LLMs and techniques such as MCP and RAG. Your responsibilities will also include working on internal tooling and APIs while managing the secure, cost-effective, and scalable deployment of AI solutions in Azure.
You will:
* Deliver product backlog items across end-to-end products as part of an Agile team in a DevOps environment. You will analyze complex problems and design effective solutions, demonstrating strong analytical and design skills.
* Have a proven track record of delivering scalable, end-to-end complex solutions, including designing, building, testing, automating, and monitoring in production environments.
* Gain hands-on experience with business-critical systems in medium to large organisations, ensuring reliability and performance.
* Possess extensive experience in environments following DevOps principles, with strong working knowledge of DevOps tools.
* Work closely with stakeholders to analyze requirements and deliver comprehensive business solutions.
You have:
* Strong understanding of Azure AI services and Azure cloud services, including Azure OpenAI, Azure Machine Learning Studio, Function Apps, and Storage Accounts.
* In-depth experience in AI application development, with proven end-to-end solution planning and development.
* Proficiency in C#, .NET Core, and Python. Experience with Azure Data Factory, Databricks, and Azure Cosmos DB or Azure SQL Database is beneficial.
* Experience in designing and maintaining CI/CD pipelines, applying Infrastructure as Code with Terraform, and incorporating Azure MLOps practices.
* Knowledge of DevSecOps principles and data governance to secure AI infrastructure and ensure compliance.
* Ability to implement automated checks for data quality, model performance, and bias detection for reliable AI solutions.
About our Business
SSE Business Energy supplies energy to over 500,000 UK business customers, supporting sustainable practices through renewable energy, energy optimisation, and advisory services. We aim to maximize value from energy contracts, reduce carbon footprints, and foster sustainable growth.
What's in it for you?
Enjoy a comprehensive benefits package including 34 days holiday, enhanced maternity/paternity leave, discounted healthcare, salary sacrifice car leasing, and more. We promote diversity and inclusivity, encouraging applicants from all protected characteristics and providing reasonable adjustments during the application process.
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