At a Glance
- Tasks: Build scalable backend systems for AI and machine learning models using Python.
- Company: Join a leading media and entertainment company with a startup vibe.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and career advancement.
- Why this job: Shape the future of media with cutting-edge technology and impactful projects.
- Qualifications: 3+ years in backend engineering, strong Python skills, and cloud experience.
The predicted salary is between 50000 - 70000 £ per year.
Accepting applications until: 10 July 2026
This role is part of our Global:IQ team, the group developing our new intelligence platform. Global:IQ brings together a suite of 1st party and partner data, tools and capabilities to turn data into audience understanding and optimised, data-led media plans. Using a combination of data science, machine learning & AI techniques, it supports smarter targeting across Global’s audio and out-of-home inventory, optimises advertising creatives and automates the tracking of outcomes for advertisers through the acquisition funnel, from building awareness and consideration to driving action.
As a mid level AI Engineer - Python, you will be the technical backbone of this initiative, building the scalable backend systems that allow our AI and machine learning models to run efficiently and effectively in production.
- 3 best things about the job
- Build the Future: You aren't just maintaining legacy code; you are building the "brain" of the company, working on end-to-end AI and data developments that directly impact how we deliver media.
- Startup Mindset, Enterprise Scale: You get the best of both worlds, the autonomy and fast-paced culture of a startup environment, backed by the data assets and resources of a major media and entertainment company.
- Modern Tech Stack: You will be working with the tools you love Python, FastAPI, Postgres, and Snowflake without being bogged down by outdated systems.
Measures of success
- Gained a comprehensive understanding of the Global:IQ architecture and data flows.
- Delivered first outcomes at pace into production with an eye to modern AI-enabled development methodology.
- Contributed considerably in bringing our new Global:IQ product offering to production.
- Established yourself as a technical leader within the team, advocating for best practices in software development.
Key Responsibilities of the Role
- Backend Engineering (50%): Design, build, and maintain robust APIs and microservices using Python, FastAPI, and Postgres to power the Global:IQ platform.
- Data Engineering (20%): Deliver high-level data engineering solutions and pipelines that support Global:IQ’s AI and analytics use cases.
- Infrastructure & Data Warehousing (30%): Architect and manage integrations with cloud platforms (AWS) and data warehouses, specifically Snowflake, ensuring data accessibility and query performance.
What you will need
- Experience: 3+ years of experience in backend engineering.
- Tech Stack: Strong proficiency in Python, with specific experience in FastAPI and Postgres.
- Data Leadership: Proven experience in leading data and AI-driven projects from conception to deployment.
- Cloud Data: Hands-on experience with cloud platforms and data warehouses, specifically Snowflake.
- Preferred / Bonus:
- Data-Adjacent Experience: A strong understanding of how to build engineering systems that support data workflows.
- AI/ML Depth: Experience with end-to-end development of AI or Machine Learning features.
- Mindset: Startup or highly accountable team experience. You are comfortable with ambiguity, move fast, and focus on shipping value.
- Agentic and AI-accelerated engineering: You are capable with using agentic coding tools and able to deliver outcomes effectively into production with tools like Claude Code, Codex, etc.
- Domain Passion: You should love the challenge of using data & intelligence to drive ad campaign efficiency and demonstrate the value of the investment in the media.
AI Engineer - Python in London employer: Global Media Group
As an AI Engineer - Python at Global:IQ, you will thrive in a dynamic work culture that combines the agility of a startup with the robust resources of a leading media and entertainment company. Enjoy opportunities for professional growth while working with cutting-edge technologies like Python, FastAPI, and Snowflake, all within a collaborative environment that values innovation and data-driven decision-making. Join us to build impactful solutions that shape the future of advertising and media.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Python in London
✨Tip Number 1
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 or data engineering. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, FastAPI, or any AI/ML work. Having tangible examples of your work can really set you apart when you're chatting with potential employers.
✨Tip Number 3
Don’t be shy about reaching out directly to companies you’re interested in. A quick email or LinkedIn message expressing your enthusiasm for their work can go a long way. Plus, applying through our website gives you a better chance of being noticed!
✨Tip Number 4
Prepare for interviews by brushing up on your technical skills and understanding the company’s products. Be ready to discuss how your experience aligns with their needs, especially around backend engineering and data workflows. Confidence is key!
We think you need these skills to ace AI Engineer - Python in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with Python, FastAPI, and Postgres, and don’t forget to showcase any relevant projects that demonstrate your skills in backend engineering and data workflows.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background aligns with our mission at StudySmarter. Be sure to mention any specific experiences that relate to the job description.
Showcase Your Projects:If you’ve worked on any cool projects, especially those involving AI or machine learning, make sure to include them in your application. We love seeing practical examples of your work and how you’ve tackled challenges in the past.
Apply Through Our Website:We encourage you to apply through our website for the best experience. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Global Media Group
✨Know Your Tech Stack
Make sure you’re well-versed in Python, FastAPI, and Postgres. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects. It’s all about showing that you can hit the ground running!
✨Showcase Your AI Passion
Since this role is all about AI and machine learning, come prepared with examples of your previous work in these areas. Talk about specific projects where you’ve led data-driven initiatives or developed AI features. This will demonstrate your genuine interest and expertise.
✨Understand the Company’s Vision
Research Global:IQ and its mission. Be ready to discuss how your skills can contribute to their goals, especially in optimising media plans and enhancing audience understanding. This shows that you’re not just looking for any job, but that you’re invested in their success.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges and be ready to explain your thought process. This will help you demonstrate your analytical skills and how you approach complex engineering problems.
