Lead hands-on AI engineering to build and deploy production-grade AI systems, focusing on LLM architecture and cloud services. This role requires strong Python, backend development, and MLOps experience to drive AI adoption in a media and advertising group. Key responsibilities include developing internal AI tools, defining LLM strategy, and mentoring engineers.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Lead AI Engineer
London (Hybrid) | £85,000 + 10% bonus
This is a genuinely hands on lead AI engineering role where you will help shape how AI is designed, built and used across a large, established organisation. You will work closely with a newly formed AI leadership team, bringing structure, best practice and technical depth to an internal AI function that is still early in its maturity.
The Company
They are part of a large international media and advertising group operating across multiple markets. Their focus is on combining technology, data and creativity to deliver impactful advertising solutions across physical and digital environments. Technology and AI are becoming increasingly central to how the business operates internally, with strong backing to build scalable, responsible AI capabilities.
The Role
You will sit within an AI Enablement team, working as a senior technical contributor and trusted partner to the Head of AI and Product. This is not a research role. You will be building, deploying and owning production grade AI systems used by teams across the business.
Responsibilities include:
- Leading hands on development of internal AI tools and chatbots that automate and improve business processes.
- Defining and evolving the LLM architecture and tooling, including the use of cloud based AI services and modern LLM frameworks.
- Turning ambiguous business problems into clear, scalable technical solutions.
- Building APIs, backend services, automation workflows and data pipelines that support AI capabilities.
- Deploying, monitoring and iterating on AI solutions in live environments.
- Setting engineering best practice and mentoring other AI engineers within the team.
- Working closely with product and non technical stakeholders to ensure solutions deliver measurable business value.
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Your Skills & Experience
- Strong commercial experience as a software or AI engineer, with a focus on backend development.
- Hands on experience building and integrating AI or LLM powered solutions into production systems.
- Strong Python skills and experience working in cloud environments, ideally Azure.
- Solid understanding of software engineering fundamentals including APIs, distributed systems and secure system design.
- Experience with DevOps or MLOps practices such as CI CD, containerisation and monitoring.
- The confidence and gravitas to influence technical direction and guide a less mature AI function.
- A practical, delivery focused mindset with the ability to engage and bring others along the journey.
- UK experience is preferred, with sponsorship available if required.
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What They Offer
- Base salary of £85,000
- 10% annual bonus.
- Up to 8% matched pension.
- Hybrid working with regular office presence.
- 25 days annual leave plus additional benefits including healthcare support, life insurance and enhanced parental leave.
- The opportunity to play a key role in shaping how AI is adopted and scaled across the organisation.
How to Apply
If this sounds like the role for you, apply below or email me at
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