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- Tasks: Design and roll out a next-gen AI development environment using Kubernetes and Python.
- Company: Join an international client based in Glasgow, leading the charge in AI technology adoption.
- Benefits: Enjoy hybrid work with 3 days onsite, plus opportunities for professional growth.
- Why this job: Be part of a transformative project that shapes AI's role in a global organisation.
- Qualifications: Experience in Python, data engineering, and cloud-native environments is essential.
- Other info: Ideal for those passionate about AI and looking to make a real-world impact.
The predicted salary is between 48000 - 72000 £ per year.
I am looking for an experienced Platform Engineer to support the design and rollout of a next-generation AI development environment for our international client based in Glasgow. This role plays a key part in accelerating the adoption of AI technologies across the business, helping to build scalable infrastructure and intelligent tooling to power innovation and automation at scale.
What You'll Be Doing:
- Contributing to the architecture and delivery of an innovative AI platform designed to support large enterprise use cases.
- Building and managing containerised applications and services running on Kubernetes (OpenShift preferred).
- Developing robust, high-performance APIs using frameworks like Flask or FastAPI.
- Enabling reliable, secure data handling through engineering best practices across SQL/NoSQL, Kafka, Redis, and cloud-native storage solutions.
- Applying your knowledge of asynchronous processing, multithreading, and system performance optimisation in real-world environments.
- Integrating telemetry tools such as Grafana, Loki, Prometheus, and Cortex for monitoring and observability.
- Implementing CI/CD pipelines (Jenkins) and contributing to GitOps-driven deployment strategies.
- Supporting the adoption of AI and ML tooling across product and engineering teams.
- Ensuring development aligns with secure coding and data protection principles.
What You'll Bring:
- Solid experience as a hands-on software or platform engineer with deep knowledge of Python Flask or FastAPI.
- A good understanding of data engineering principles, data security, and governance.
- Expertise in designing, building, and managing large-scale RESTful services.
- Knowledge of OAuth2.0 and modern application security protocols.
- Familiarity with Agile and DevOps practices in cloud-native environments.
- Excellent communication skills and the ability to work with global teams.
- A strong interest in AI, especially its practical application to real-world engineering and productivity problems.
Nice to Have:
- Experience working with AI/ML platforms, particularly in generative AI or LLM-based systems.
- Exposure to ML/ModelOps and AI workflow automation tools.
- Practical experience with agent orchestration tools (e.g., LangChain, LangGraph).
- Understanding of microservice-based architecture, distributed state management, and advanced cloud deployment strategies (e.g., blue/green deployments).
- Hands-on experience with scalable cloud infrastructure in both public and private environments.
- Familiarity with Site Reliability Engineering (SRE) principles and tooling.
Why Join? This is an exciting opportunity to work on innovative AI platform engineering that combines deep technical challenge with meaningful business impact. You'll help shape how AI is used across a global organisation - from foundational tools to transformational applications.
AI Platform Engineer in Glasgow employer: Henderson Scott
Contact Detail:
Henderson Scott Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Platform Engineer in Glasgow
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Kubernetes, OpenShift, and Python frameworks like Flask or FastAPI. Having hands-on experience or projects that showcase your skills in these areas will make you stand out.
✨Tip Number 2
Network with professionals in the AI and platform engineering space, especially those who have experience with AI/ML platforms. Engaging in relevant online communities or attending local meetups can provide valuable insights and connections that may lead to opportunities.
✨Tip Number 3
Demonstrate your understanding of Agile and DevOps practices by discussing any relevant experiences during interviews. Highlight how you've implemented CI/CD pipelines or contributed to GitOps-driven deployment strategies in past roles.
✨Tip Number 4
Showcase your passion for AI and its practical applications by sharing examples of how you've used AI technologies to solve real-world problems. This could be through personal projects, contributions to open-source, or previous work experiences.
We think you need these skills to ace AI Platform Engineer in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in platform engineering, particularly with Kubernetes, OpenShift, and Python. Emphasise any projects or roles where you've contributed to AI or ML environments.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for AI technologies and how your skills align with the job requirements. Mention specific experiences that demonstrate your ability to build scalable infrastructure and work with global teams.
Showcase Technical Skills: Clearly outline your technical skills related to the job description, such as experience with CI/CD pipelines, RESTful services, and data handling best practices. Use bullet points for clarity and impact.
Highlight Soft Skills: Don't forget to mention your communication skills and ability to collaborate with diverse teams. These are crucial for the role, so provide examples of how you've successfully worked in team settings.
How to prepare for a job interview at Henderson Scott
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Kubernetes, OpenShift, and Python in detail. Highlight specific projects where you've built or managed containerised applications, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Understanding of AI/ML
Since this role focuses on AI technologies, make sure to articulate your knowledge of AI and ML principles. Discuss any relevant experience you have with AI platforms or tools, especially in generative AI or LLM-based systems, to show your passion for the field.
✨Emphasise Collaboration and Communication
This position requires working with global teams, so highlight your communication skills and any experience you have in collaborative environments. Share examples of how you've successfully worked with diverse teams to achieve common goals.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about real-world situations where you've had to apply asynchronous processing, multithreading, or system performance optimisation, and be ready to discuss your thought process and solutions.
