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- Tasks: Lead the design and deployment of AI systems that solve real business challenges.
- Company: Join a major UK media and advertising business at the forefront of AI innovation.
- Benefits: Competitive salary, annual bonus, and hybrid working model in vibrant Soho.
- Other info: Opportunity to mentor and grow within a dynamic AI-focused team.
- Why this job: Shape the future of AI architecture and make a significant impact on a national scale.
- Qualifications: Experience in building production AI systems and strong engineering skills required.
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
Key Details
- 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 employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer - Media Workflows
✨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-world problems in your previous roles.
✨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
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead AI Engineer role. Highlight your experience in building production AI systems and any relevant projects you've worked on that showcase your ability to define and deploy AI architecture.
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 mission. Share specific examples of how you've solved real business problems with AI, and don't forget to mention your experience with LLMs and automation workflows!
Showcase Your Technical Skills: Since this role involves a hands-on approach, be sure to highlight your technical expertise in Python, Azure, and any other relevant technologies. Mention any experience with DevOps/MLOps practices, as this will show us you're ready to implement robust systems.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Harnham
✨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 designed and built AI applications. Highlight your role in developing scalable APIs and backend services, as well as any DevOps/MLOps practices you've implemented.
✨Understand the Business Side
Since this role involves working closely with product and business stakeholders, be prepared to discuss how you've aligned AI solutions with business objectives. Think about how your work has directly impacted operations or workflow automation.
✨Be Ready to Mentor
As a Lead AI Engineer, mentoring is key. Think about how you've helped others grow in their roles and be ready to discuss your approach to improving AI delivery capability within a team.