Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and deploy innovative AI solutions on Microsoft Azure.
- Company: Leading tech firm focused on cutting-edge AI technologies.
- Benefits: Competitive pay, flexible work arrangements, and professional growth opportunities.
- Why this job: Join a dynamic team and shape the future of AI with your expertise.
- Qualifications: SC Clearance, experience in Azure AI, and strong communication skills.
- Other info: Onsite attendance once a week; excellent career advancement potential.
The predicted salary is between 48000 - 72000 £ per year.
If you are an SC Cleared Azure Engineer with a focus on Azure AI, we have a new contract we would like to discuss with you. Please note this role is inside IR35, requires onsite attendance once a week and can only consider candidates with current/live SC Clearance.
Job Spec:
- Proven extensive experience developing AI solutions on Microsoft Azure AI Foundry and Microsoft Azure ML Studio.
- Understanding of data science concepts, AI/ML models, automation workflows, and agentic orchestration to enhance business processes.
- Experience designing and deploying Agentic AI solutions leveraging orchestration, pipelines, and observability on Microsoft Azure AI Foundry.
- Experience applying Generative AI, NLP, and prompting techniques.
- Strong understanding of AI governance, observability, and compliance frameworks.
- Excellent communication and presentation skills.
SC Cleared Azure AI Engineer employer: Devonshire Hayes Recruitment Specialists Ltd
Contact Detail:
Devonshire Hayes Recruitment Specialists Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SC Cleared Azure AI Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the Azure and AI space. Let them know you're on the lookout for opportunities, especially roles that require SC Clearance. You never know who might have the inside scoop on a great contract!
✨Tip Number 2
Show off your skills! When you get the chance to chat with potential employers, be ready to discuss your experience with Azure AI Foundry and ML Studio. Bring examples of your past projects and how you've applied AI/ML models to solve real business problems.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of AI governance and compliance frameworks. Be ready to explain how you ensure observability in your AI solutions. This will show you're not just technically savvy but also understand the bigger picture.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and experience. Plus, applying directly can sometimes give you an edge over other candidates. So, what are you waiting for? Get your application in!
We think you need these skills to ace SC Cleared Azure AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure AI and the specific skills mentioned in the job description. We want to see how your background aligns with what we're looking for, so don’t hold back on showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. We love seeing enthusiasm and a clear understanding of the position, so let your personality come through while keeping it professional.
Showcase Your Projects: If you've worked on any AI solutions or projects using Microsoft Azure, make sure to mention them. We’re keen to see real-world applications of your skills, so include links or descriptions that demonstrate your expertise in AI/ML models and automation workflows.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for both of us!
How to prepare for a job interview at Devonshire Hayes Recruitment Specialists Ltd
✨Know Your Azure AI Inside Out
Make sure you brush up on your knowledge of Microsoft Azure AI Foundry and Azure ML Studio. Be ready to discuss specific projects where you've developed AI solutions, focusing on the technical details and outcomes. This will show your expertise and confidence in the subject.
✨Showcase Your Data Science Skills
Prepare to explain your understanding of data science concepts and how you've applied them in real-world scenarios. Think about examples where you've designed and deployed Agentic AI solutions, and be ready to discuss the orchestration and pipelines involved.
✨Communicate Clearly and Effectively
Since excellent communication skills are a must, practice explaining complex AI concepts in simple terms. Use clear examples to illustrate your points, and don’t shy away from asking clarifying questions if needed. This will demonstrate your ability to convey technical information effectively.
✨Understand Compliance and Governance
Familiarise yourself with AI governance, observability, and compliance frameworks relevant to the role. Be prepared to discuss how you've ensured compliance in your previous projects and how you would approach these aspects in future work. This shows that you take responsibility seriously.
