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- Tasks: Lead deployment of AI solutions and optimise cloud infrastructure on Azure.
- Company: Join a global professional services firm revolutionising legal tech with innovative AI projects.
- Benefits: Enjoy a salary up to £95,000, a 5% bonus, and hybrid working options.
- Why this job: Be part of a transformative team reshaping an industry with cutting-edge AI technology.
- Qualifications: 5+ years in DevOps, strong Azure experience, and a passion for AI/ML.
- Other info: Open to applicants who may not meet every requirement—let's connect!
The predicted salary is between 66000 - 95000 £ per year.
Job Description
Are you a cloud-savvy DevOps Engineer with a passion for AI, LLMs, and modern infrastructure? I'm hiring for a brilliant opportunity with a global professional services firm that's pushing the boundaries of legal tech-and they're looking for a sharp mind to help lead the charge.
This role sits at the heart of an enterprise AI/LLM transformation, supporting the deployment and optimisation of cutting-edge AI applications within a secure, scalable cloud environment.
?? Why This Role?
This is a rare chance to combine your DevOps expertise with innovative LLM/GenAI projects that are actively reshaping how a highly regulated industry delivers value. You'll work cross-functionally with product owners, engineers, infrastructure, and security teams to build robust, production-grade AI solutions.
??? Your Responsibilities
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Lead deployment of AI/LLM cloud solutions using Infrastructure-as-Code (IaC) on Azure.
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Automate and optimise CI/CD pipelines, build systems, and release workflows.
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Drive secure design and ensure resilience, compliance, and observability.
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Partner with internal tech teams and external vendors on infrastructure and support.
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Act as a technical lead across key AI initiatives-owning from planning to execution.
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Provide Level 3 support and proactively resolve production issues.
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Stay at the forefront of AI/ML, NLP, and LLM trends and integrate relevant innovations.
�? The Tech Stack
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Azure: Azure Document Intelligence, Azure Networking & Security
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IaC Tools: Terraform or ARM Templates (experience expected)
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Languages: Python preferred (especially for AI/ML integration)
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DevOps & Automation: CI/CD tools, monitoring, security automation, scripting
? What You'll Bring
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5+ years in Infrastructure/DevOps; 3+ years in Azure environments
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Strong interest in (or exposure to) LLM/GenAI projects
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Experience deploying enterprise-grade cloud applications with IaC
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Sound understanding of AI/ML frameworks and modern DevOps practices
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Excellent communicator-comfortable translating technical complexity
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Curious mindset with a commitment to quality, security, and collaboration
�? What's in It for You?
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?? Salary up to £95,000 + 5% annual bonus
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�? Hybrid working model with flexible UK location
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?? Cutting-edge AI/LLM projects in a forward-thinking enterprise
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?? Inclusive, collaborative culture with strong leadership support
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�? Career growth, innovation exposure, and a mission-driven team
?? Interested?If you're excited about working at the intersection of DevOps and AI, and want to contribute to a game-changing transformation, hit apply or reach out. Even if you don't meet every requirement – let's talk!
AI DevOps Engineer Azure employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI DevOps Engineer Azure
✨Tip Number 1
Familiarise yourself with Azure's AI and LLM services. Understanding how these technologies work will not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the AI and DevOps fields. Attend meetups or webinars focused on Azure and AI technologies to connect with potential colleagues and learn about industry trends.
✨Tip Number 3
Showcase your experience with Infrastructure-as-Code (IaC) tools like Terraform or ARM Templates. Be prepared to discuss specific projects where you've implemented these tools effectively.
✨Tip Number 4
Stay updated on the latest developments in AI/ML and DevOps practices. Being knowledgeable about current trends will help you engage in meaningful conversations during interviews and show your commitment to continuous learning.
We think you need these skills to ace AI DevOps Engineer Azure
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, DevOps practices, and any relevant AI/ML projects. Use keywords from the job description to demonstrate that you meet the specific requirements.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and LLMs. Discuss how your background in DevOps aligns with the responsibilities of the role, and mention any specific projects that showcase your skills.
Showcase Relevant Skills: When detailing your experience, focus on your proficiency with Infrastructure-as-Code tools like Terraform or ARM Templates, as well as your familiarity with CI/CD pipelines. Provide examples of how you've automated processes in previous roles.
Highlight Communication Skills: Since the role requires collaboration with various teams, emphasise your communication skills. Share instances where you've successfully translated technical concepts for non-technical stakeholders or worked cross-functionally.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Showcase Your Cloud Savvy
Make sure to highlight your experience with Azure and any specific projects you've worked on. Discuss how you've deployed AI/LLM solutions in the cloud, as this will resonate well with the interviewers.
✨Demonstrate Your Automation Skills
Be prepared to talk about your experience with Infrastructure-as-Code (IaC) tools like Terraform or ARM Templates. Share examples of how you've automated CI/CD pipelines and optimised release workflows in previous roles.
✨Communicate Technical Complexity Clearly
Since the role requires excellent communication skills, practice explaining complex technical concepts in simple terms. This will show that you can effectively collaborate with cross-functional teams.
✨Stay Updated on AI Trends
Research the latest trends in AI, ML, and LLM technologies. Being able to discuss recent innovations and how they could be integrated into the company's projects will demonstrate your passion and commitment to the field.
