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- Tasks: Design and build AI-driven applications using cutting-edge technologies.
- Company: Innovative organisation driving growth through intelligent technology.
- Benefits: Competitive salary, comprehensive benefits, and hybrid working options.
- Why this job: Join a collaborative team and make a real impact in AI solutions.
- Qualifications: Experience in AI development with skills in C#, .NET, or Python.
- Other info: Opportunities for continuous learning and career development in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
Head Resourcing are working with an organisation that is driving innovation through intelligent technology. This role offers the chance to contribute to impactful AI solutions that support business growth and enhance digital capability across enterprise environments.
As an AI Developer, you will be instrumental in designing, building, and integrating AI-driven applications. Working with technologies such as .NET, C#, Python, and Microsoft Azure, you will help shape a new wave of smart, scalable systems. This opportunity is ideal for someone who enjoys collaboration, problem‑solving, and pushing technical boundaries.
What's on offer:
- Work on forward‑thinking AI and data-led projects
- Join a growing, collaborative, and innovative team
- Opportunities for continuous learning and career development
- Competitive salary and comprehensive benefits
- Hybrid working - their offices are based in city centre Glasgow. They are ideally looking for some office presence but are happy to discuss flexibility for the right candidate. If you are based in Edinburgh, Dundee, Stirling, Aberdeen, Newcastle, Cumbria or further afield, please do reach out.
Key Responsibilities:
- AI & Software Development: Develop and maintain AI-powered software using .NET, C#, Python, and Azure-based services. Deliver scalable, high-performing solutions suitable for enterprise adoption.
- AI Solution Integration: Integrate AI services and frameworks to enhance applications with automation, analytics, and intelligent decision-making. Build solutions using Azure OpenAI, Cognitive Services, and AI‑driven APIs.
- API Development & Cloud Engineering: Develop secure and efficient RESTful APIs to support AI and enterprise systems. Deploy and manage AI/data workloads via Azure OpenAI, Azure Kubernetes Service (AKS), and Azure Container Apps.
- DevOps & Infrastructure: Use Azure DevOps and GitHub for CI/CD, version control, and automated deployment pipelines. Implement Infrastructure as Code (IaC) using Terraform.
- Collaboration & Best Practice: Work closely with cross‑functional teams including data scientists and software engineers. Maintain high standards of code quality and documentation. Stay on top of developments across AI, data science, .NET, and cloud technologies.
Skills & Experience Required:
- Strong communication skills and a logical, problem-solving mindset.
- Proven previous experience building AI solutions that have made an impact within a commercial environment.
- Proficiency in C#, .NET, or Python for AI, automation, and application development.
- Experience integrating AI solutions and building APIs (REST, GraphQL).
- Hands‑on knowledge of Azure cloud services - including Azure OpenAI, AKS, Azure Container Apps.
- Solid understanding of SQL and NoSQL databases (e.g., Cosmos DB, PostgreSQL) and cloud storage.
- Familiarity with microservices, event-driven design, and containerisation (Docker, Kubernetes).
- Experience with CI/CD pipelines, Terraform, Azure DevOps, and GitHub.
If you feel you have the relevant skills, experience and would like to find out more, please send across a version of your CV that clearly demonstrates this.
AI Developer employer: Head Resourcing
Contact Detail:
Head Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Developer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using .NET, C#, Python, and Azure. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI development questions and coding challenges. Practice explaining your thought process and problem-solving approach, as collaboration is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI solutions and the specific technologies mentioned in the job description, like .NET, C#, and Python. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include examples of previous projects where you've built or integrated AI-driven applications. This helps us understand your hands-on experience and problem-solving abilities in real-world scenarios.
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and bullet points to make it easy for us to see your qualifications at a glance. We appreciate brevity but don’t skimp on the important details.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Head Resourcing
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like .NET, C#, Python, and Azure. Brush up on your knowledge of AI solutions and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Think about specific challenges you faced while developing AI solutions and how you overcame them. This will demonstrate your logical mindset and ability to innovate.
✨Collaboration is Key
Since this role involves working with cross-functional teams, be ready to talk about your experience collaborating with data scientists and software engineers. Highlight any successful projects where teamwork played a crucial role in achieving results.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI projects and future goals. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially regarding innovation and continuous learning.
