Lead AI Engineer

Bauer Media Outdoor UK; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid working model

25 paid holidays

Company Pension Scheme up to 8%

Life Insurance & income protection

Job summary

Bauer Media Outdoor UK is hiring an experienced Lead Engineer for the AI Enablement team. This hands-on role designs, builds and deploys AI-enabled software used across the organisation, including Bauer AI Chat.

You will work with Product Leads to shape solutions, integrate Azure OpenAI, and ship production-grade code that delivers real business value. The position emphasises security, reliability and fast delivery in a hybrid working environment.

Qualifications

• 8+ years of professional software engineering experience.
• Strong proficiency in Python and cloud-native development (Azure preferred).
• Proven experience integrating AI or LLM based services into production systems
• Experience in machine learning or computer vision is beneficial but not essential
• Solid understanding of distributed systems, APIs, microservices and secure software design
• Experience with DevOps or MLOps tooling including CI/CD, Docker, Kubernetes, monitoring and logging
• Comfortable owning complex technical problems and driving them through to delivery

Responsibilities

• Design and build AI enabled applications that address genuine business needs rather than theoretical use cases
• Integrate AI services such as Azure OpenAI and Perplexity AI into production systems
• Develop APIs, backend services, service integrations, automation workflows and data pipelines that enable AI capabilities
• Build and maintain custom AI Assistants for Bauer AI Chat with a focus on security, reliability and user experience
• Partner closely with Product Leads to take ideas from discovery through to delivery
• Translate ambiguous business problems into clear, scalable technical solutions
• Prototype, experiment and iterate quickly based on user feedback and performance data
• Deploy AI driven features into live environments with a focus on speed, quality
• Write clean, well-tested, production ready code and set a high engineering standard
• Own system design, delivery and ongoing evolution end to end
• Resolve complex engineering challenges across performance, scalability and integration
• Build and operate reliable infrastructure using practical DevOps and MLOps practices
• Monitor, optimise and continuously improve AI solutions in production
• Mentor engineers and raise capability across AI solution development, design and delivery
• Communicate technical decisions clearly to non-technical audiences
• Support adoption and rollout by ensuring robust integrations and smooth user experiences

Skills

Python

Azure

LLM integration

Distributed systems

APIs & microservices

DevOps / MLOps

CI/CD

Docker

Kubernetes

Tools

Azure

Docker

Kubernetes

CI/CD pipelines

Monitoring & Logging

Job description

Bauer Media Outdoor, a leader in the advertising world, boasts an impressive portfolio across 12 markets.

Our mission is \"Create tech that makes a difference- empower teams, delight customers, shape the media world of tomorrow\" to revolutionise the media landscape, focusing on data-driven innovations and robust infrastructure.

Technology is at the heart of our operations, emphasising transparency, accountability, and value.

Our goal? To be the industry-leading technology team, renowned for customer-centric, reliable, fast, flexible, and innovative solutions.

Come, be a part of our journey to redefine media!

About the role

We are hiring an experienced Lead Engineer to join our AI Enablement team at Bauer Media Outdoor. This is a genuinely hands on technical role, focused on designing, building and deploying AI enabled software solutions that are used across the organisation.

You will work closely with Product Leads to shape and deliver real solutions, including building custom AI Assistants within our internal generative AI platform, Bauer AI Chat. You will be accountable for technical problem solving, system design, AI integration and delivering production quality code that creates clear business value.

You will be exploring and experimenting with new and emerging AI technology, building, shipping and owning practical, technical solutions to real business problems that are used in practice.

Key Responsibilities

Solve Real Problems

• Design and build AI enabled applications that address genuine business needs rather than theoretical use cases


• Integrate AI services such as Azure OpenAI and Perplexity AI into production systems


• Develop APIs, backend services, service integrations, automation workflows and data pipelines that enable AI capabilities


• Build and maintain custom AI Assistants for Bauer AI Chat with a focus on security, reliability and user experience

Turn Ideas into Production

• Partner closely with Product Leads to take ideas from discovery through to delivery


• Translate ambiguous business problems into clear, scalable technical solutions


• Prototype, experiment and iterate quickly based on user feedback and performance data


• Deploy AI driven features into live environments with a focus on speed, quality

Own the Outcome

• Write clean, well-tested, production ready code and set a high engineering standard


• Own system design, delivery and ongoing evolution end to end


• Resolve complex engineering challenges across performance, scalability and integration


• Build and operate reliable infrastructure using practical DevOps and MLOps practices


• Monitor, optimise and continuously improve AI solutions in production


• Mentor engineers and raise capability across AI solution development, design and delivery


• Communicate technical decisions clearly to non-technical audiences.


• Support adoption and rollout by ensuring robust integrations and smooth user experiences.

Skills & Experience

• 8 + years of professional software engineering experience with strong backend expertise


• Strong proficiency in Python and cloud-native development (Azure preferred).


• Proven experience integrating AI or LLM based services into production systems


• Experience in machine learning or computer vision is beneficial but not essential


• Solid understanding of distributed systems, APIs, microservices and secure software design


• Experience with DevOps or MLOps tooling including CI CD, Docker, Kubernetes, monitoring and logging


• Comfortable owning complex technical problems and driving them through to delivery

What Success Looks Like

• AI enabled applications and Bauer AI Chat Assistants are live in production and actively used, delivering clear, measurable value to teams across the business


• New ideas move from concept to production quickly and predictably, with meaningful use cases delivered in weeks or even days rather than months


• The underlying platforms and services are reliable, scalable and able to support growing AI driven workflows without constant rework


• Technical solutions clearly map back to real business problems


• Systems are well structured and maintainable, making it faster and easier to build the next wave of AI enabled capabilities

What's In It For You?

Out-of-home Advertising is a well-established medium undergoing a digital revolution, and one we believe we are uniquely positioned to capture.

You will be at the forefront of this journey, working with your peers to lead the way.

As part of this you will get to grow and learn by working with the latest tech, joining with innovate partners, and working with great colleagues on a day-to-day basis.

The package will also include:

• Hybrid working model with regular office presence to build team culture and relationships.


• 25 paid holidays


• Company Pension Scheme paid up to 8%


• Life Insurance and group income protection scheme