Ai Integration Engineer in Stirling

Ai Integration Engineer in Stirling

Stirling Full-Time 55000 - 65000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and deliver innovative AI solutions to enhance business efficiency and user experience.
  • Company: Join a family-run business with a strong reputation in the construction sector.
  • Benefits: Competitive salary, career development, and the chance to work with cutting-edge AI technologies.
  • Other info: Dynamic environment with opportunities for ownership and innovation.
  • Why this job: Play a key role in shaping AI capabilities and make a real impact in the industry.
  • Qualifications: 2-4 years in AI/ML or software engineering with strong programming skills.

The predicted salary is between 55000 - 65000 £ per year.

An exciting opportunity has arisen for an experienced AI Integration Engineer to join a well-established and growing business operating within the construction and structural steel sector. This is a hands-on role for an engineer who can take AI solutions from concept and prototype through to production, helping the business identify where AI can improve efficiency, accuracy and user experience. You will work closely with internal teams to design, develop and integrate practical, secure AI solutions across existing business systems and platforms.

You will be joining a successful, family-run business with a long-standing reputation within the UK and Ireland's structural steel fabrication and construction industry. The business has continued to invest in people, technology and innovation and is now looking to bring AI further into its operations. This is an excellent opportunity to play a key role in developing the company's AI capability from the ground up, with significant scope for ownership, innovation and career development.

Key Responsibilities

  • Design and deliver AI solutions using Microsoft Azure, including RAG, data classification, forecasting and anomaly detection.
  • Identify opportunities to introduce AI into existing business processes and systems.
  • Integrate AI solutions with Microsoft 365, SharePoint, Teams, Entra ID, SQL databases and other business applications.
  • Develop straightforward and user-friendly AI applications for web and Microsoft Teams.
  • Develop and deploy LLM and machine learning solutions into production environments.
  • Implement monitoring, logging and audit processes to support GDPR, ISO and wider security requirements.
  • Work with internal stakeholders to understand business requirements and translate them into practical technical solutions.
  • Evaluate emerging AI technologies and make recommendations regarding their potential use within the business.
  • Ensure solutions are secure, scalable, maintainable and aligned with company standards.

Essential Experience

  • 2-4 years' experience in AI/ML, software engineering or a closely related field.
  • Experience deploying LLM or machine learning solutions into production.
  • Strong programming skills in Python and/or C#.
  • Experience working with Microsoft Azure services such as: Azure App Service, Azure AI Search, Azure Functions, Azure Storage, Azure Key Vault.
  • Understanding of APIs, databases and enterprise system integration.
  • Experience or understanding of Microsoft 365 and Microsoft Graph API.
  • Strong analytical and problem-solving ability.
  • Ability to take AI projects from prototype through to robust production deployment.

Desirable Skills

  • Experience with Retrieval-Augmented Generation (RAG).
  • Knowledge of vector databases.
  • Experience with AI frameworks such as Haystack, LlamaIndex or Semantic Kernel.
  • Experience with forecasting, anomaly detection or data classification.
  • Knowledge of CNC, manufacturing, construction or other industrial environments would be advantageous but is not essential.
  • Understanding of GDPR, ISO standards and secure AI development.

Ideal candidate

We are looking for someone who is technically strong but also pragmatic and commercially minded. You will be comfortable experimenting with new AI technologies but equally focused on delivering solutions that are reliable, secure and genuinely useful to the business. This would suit an AI Engineer, AI Integration Engineer, Machine Learning Engineer or Software Engineer with strong AI/LLM experience who is looking to take ownership of real-world AI implementation.

Ai Integration Engineer in Stirling employer: Streamline Search Limited

As a leading manufacturer of specialist sterilisation solutions, our company offers an exceptional work environment for Field Service Engineers, characterised by a strong commitment to employee development and support. With benefits such as a fully expensed company vehicle, generous holiday allowance, and specific product training, we foster a culture of growth and collaboration, ensuring that our engineers are well-equipped to excel in their roles while making a meaningful impact in the professional, research, and clinical sectors. Join us and be part of a team that values innovation, quality, and customer satisfaction.

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Contact Details:

Streamline Search Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Ai Integration Engineer in Stirling

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Streamline Search Limited or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Streamline Search Limited.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Streamline Search Limited.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Streamline Search Limited that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Ai Integration Engineer in Stirling

AI Solutions Design
Microsoft Azure
Data Classification
Forecasting
Anomaly Detection
Integration with Microsoft 365
SQL Databases

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Streamline Search Limited.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Streamline Search Limited and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Streamline Search Limited

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Streamline Search Limited uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.