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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, London.
- Other info: Exciting 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 in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
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 and show employers what you're capable of.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with LLM architecture and DevOps practices, as these are key for the role.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Lead AI Engineer - Media Workflows in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Lead AI Engineer. Highlight your experience with production AI systems and any relevant projects that showcase your skills in building scalable applications and defining 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 hands-on experience!
Showcase Your Technical Skills: Since we're looking for someone with a solid tech background, make sure to list your proficiency in Python, Azure, and any other relevant tools. If you've worked with LLMs or DevOps practices, give us the details – we want to see your expertise!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 or MLOps practices you've implemented.
✨Understand the Business Context
Research the company and its media and advertising focus. Think about how AI can improve their operations and workflows, and come prepared with ideas on potential use cases that align with their goals.
✨Be Ready to Mentor
Since this is a senior role, be prepared to discuss your mentoring experience. Share how you've helped other engineers grow their skills and improve AI delivery capabilities within your team.