At a Glance
- Tasks: Design and build AI applications that solve real business problems.
- Company: Major UK media and advertising business investing heavily in AI.
- Benefits: Competitive salary, annual bonus, and hybrid working model.
- Other info: Join early in the AI journey with opportunities for mentorship and growth.
- Why this job: Shape the future of AI architecture at a national scale.
- Qualifications: Experience in building production AI systems and strong engineering skills.
The predicted salary is between 90000 - 100000 € per year.
Do you want to define how AI gets deployed across a large enterprise? Have you built production AI systems, not just prototypes? Are you ready to shape AI architecture at scale across a national business? A major UK media and advertising business is hiring a Lead AI Engineer to help build out its internal AI capability. Operating at national scale with a large physical and digital footprint, they are investing heavily in AI to improve internal operations, automate workflows, and create business-facing AI products. This is a rare opportunity to join at an early stage of their AI journey and help shape how AI is architected, deployed, and scaled across the organisation.
This is a hands-on senior engineering role focused on building production-grade AI systems, defining LLM architecture, and establishing engineering standards across a growing AI function.
Key Responsibilities- Design and build internal AI-powered applications solving real business problems
- Develop and deploy LLM-based assistants and automation workflows
- Build scalable APIs, backend services, and integrations
- Define and mature the organisation's AI architecture and engineering standards
- Implement robust DevOps / MLOps practices for AI systems
- Mentor engineers and improve AI delivery capability across the team
- Work closely with product and business stakeholders to shape AI use cases
- Salary: £90,000–£100,000 base
- Bonus: 10% annual bonus
- Working model: Hybrid (2 days per week in Soho, London)
- Tech stack: Python, Azure, OpenAI APIs, CI/CD, Docker, observability
- Visa sponsorship: Cannot currently sponsor
Interested? Please apply below.
Lead AI Engineer - Media Workflows in London employer: LinkedIn
Join a leading UK media and advertising business that is at the forefront of AI innovation, offering a unique opportunity to shape AI architecture and deployment on a national scale. With a strong commitment to employee growth, a collaborative work culture, and a hybrid working model based in vibrant Soho, London, this role not only provides competitive compensation but also the chance to make a significant impact in a rapidly evolving field. Embrace the challenge of building production-grade AI systems while enjoying a supportive environment that values creativity and technical excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer - Media Workflows in London
✨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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that demonstrate your ability to build production-grade systems. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI architecture. Practice common interview questions and be ready to discuss how you've tackled real business problems with your solutions.
✨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 Lead AI Engineer - Media Workflows in London
Some tips for your application 🫡
Show Your Experience:Make sure to highlight your experience with building production AI systems. We want to see how you've tackled real-world problems, not just theoretical projects. Use specific examples to demonstrate your skills and achievements.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the key responsibilities mentioned in the job description. We love seeing how your background aligns with our needs, so make it personal!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it's relevant to the role, and focus on what makes you a great fit for us.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at LinkedIn
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially production-grade ones. Be ready to discuss your experience with LLM architecture and how you've tackled real business problems using AI in the past.
✨Showcase Your Hands-On Experience
Prepare to share specific examples of projects where you've built scalable APIs or backend services. Highlight any DevOps or MLOps practices you've implemented, as this will show your practical skills and understanding of the engineering standards needed.
✨Understand the Business Context
Research the company’s media and advertising landscape. Think about how AI can improve their operations and workflows. Being able to connect your technical skills to their business needs will set you apart from other candidates.
✨Be Ready to Mentor
Since this role involves mentoring engineers, be prepared to discuss your approach to leadership and knowledge sharing. Share examples of how you've helped others grow in their roles, as this shows you're not just a tech whiz but also a team player.
