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For Companies At a Glance
- Tasks: Lead AI tech initiatives, design APIs, and mentor engineers in a dynamic environment.
- Company: Join a leading global media company shaping the future of AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by driving AI innovation across diverse platforms.
- Qualifications: Degree in Computer Science or related field; strong Python and API development skills.
- Other info: Collaborative culture with exciting projects and career advancement opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Accepting applications until: 30 January 2026
Your Role: AI Tech Lead
You’ll lead the technical enablement of AI across Global’s Audio & Digital and Out-of-Home platforms—turning ideas into reliable, scalable products. You’ll set the architecture for APIs, data flows, and AI services, and mentor engineers while partnering with product, editorial, ad ops, and commercial tech.
Key Responsibilities
- API and Data Product Development (40%): Design, build, and maintain robust, scalable APIs for internal and external stakeholders using FastAPI; define data requirements, build reliable pipelines, and ensure data accuracy, availability, and scalability on AWS and Snowflake; contribute to new features and platform enhancements, including GraphQL services with Strawberry where appropriate.
- AI and Machine Learning Integration (40%): Co‑develop and deploy AI‑driven solutions (MVPs/POCs and production), leveraging OpenAI, AssemblyAI, and other commercial LLM APIs; implement generative AI features that enhance user experiences and personalisation; continually evaluate and improve AI tools by integrating new data points, adding features, and establishing evaluation and monitoring.
- Technical Support and Collaboration (20%): Ensure stability, performance, and cost efficiency of data and AI systems; troubleshoot production issues and resolve data/system incidents; work closely with cross‑functional teams to align technical solutions to business goals, compliance, and user needs.
What You’ll Love About This Role
- Think Big: Shape Global’s AI platform and reusable components that power content, ad tech, and OOH operations.
- Own It: Lead architecture, reviews, and hands‑on coding for critical services and AI integrations.
- Keep it Simple: Create clear APIs, schemas, and documentation that make AI easy to adopt.
- Better Together: Partner with product, studios, sales, and ops to turn AI into measurable outcomes.
What Success Looks Like
In your first few months, you’ll have:
- Delivered an initial set of secure APIs and data pipelines supporting a live AI use case.
- Shipped at least one AI MVP/POC (e.g., copy approval, content tagging, or assistant tooling) with baseline evaluation metrics.
- Implemented observability and cost dashboards for API and AI workloads.
- Established coding standards, review rituals, and a lightweight evaluation framework for prompts/models.
What You’ll Need
- Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience.
- Proficiency in Python and SQL; strong API development with FastAPI (or similar); experience with Strawberry for GraphQL is a plus.
- Hands‑on experience with AWS services and modern data warehousing (Snowflake).
- Familiarity with AI technologies and generative AI tools, including OpenAI, AssemblyAI, and other commercial LLM APIs.
- Solid data engineering fundamentals: pipelines, testing, versioning, observability, and performance tuning.
- Strong problem‑solving focus on scalability, usability, and user experience.
- Excellent collaboration and communication skills for diverse technical and non‑technical audiences.
AI Tech Lead in Glasgow employer: Global
Contact Detail:
Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Tech Lead in Glasgow
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in AI. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Don’t just talk about your experience—show it! Create a portfolio or GitHub repository showcasing your projects, especially those involving APIs and AI. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding of AI concepts. Practice common interview questions and be ready to discuss your past projects in detail. Remember, confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance at landing that AI Tech Lead role. We love seeing candidates who are proactive and genuinely interested in joining our team!
We think you need these skills to ace AI Tech Lead in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI Tech Lead role. Highlight your API development, data engineering, and AI integration experience to show us you’re the perfect fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about AI and how you can contribute to our team. Share specific examples of your past projects that align with the responsibilities listed in the job description.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python, SQL, and any experience with FastAPI or AWS. We want to see how your technical expertise can help us shape Global’s AI platform!
Apply Through Our Website: For the best chance of getting noticed, make sure to apply through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Global
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, FastAPI, and AWS. Brush up on your knowledge of API development and data pipelines, as you’ll likely be asked to discuss your experience with these tools during the interview.
✨Showcase Your AI Knowledge
Prepare to talk about your experience with AI technologies, particularly generative AI tools like OpenAI and AssemblyAI. Have examples ready of how you've integrated AI into projects, and be ready to discuss the impact it had on user experience and product outcomes.
✨Demonstrate Collaboration Skills
Since this role involves working closely with cross-functional teams, be prepared to share examples of how you’ve successfully collaborated with product managers, engineers, and other stakeholders. Highlight any specific projects where teamwork led to successful outcomes.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their current AI projects, the team dynamics, or how they measure success for the AI Tech Lead position. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
