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For Companies At a Glance
- Tasks: Design and build AI solutions that solve real business problems and enhance user experience.
- Company: Join Bauer Media Outdoor, a leader in the advertising industry focused on tech innovation.
- Benefits: Enjoy hybrid working, 25 holidays, healthcare, pension scheme, and enhanced family leave.
- Why this job: Be at the forefront of the digital revolution in advertising and make a real impact.
- Qualifications: 8+ years in software engineering with strong backend skills, especially in Python and cloud development.
- Other info: Collaborate with innovative partners and grow your skills in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
About Us
Bauer Media Outdoor, a leader in the advertising world, boasts an impressive portfolio across 12 markets. Our mission is to “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 is 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
- 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 & 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 innovative 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%
- Healthcare Cash Plan
- Life Insurance and group income protection scheme
- Cycle to work scheme
- Enhanced Maternity & Paternity Cover
Lead AI Engineer in London employer: Bauer Media Outdoor
Contact Detail:
Bauer Media Outdoor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks 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 solve real business problems. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've tackled complex engineering challenges and how you can contribute to building reliable AI solutions.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in being part of our journey to redefine media with innovative tech.
We think you need these skills to ace Lead AI Engineer in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and how it can solve real-world problems. Share specific examples of projects you've worked on that align with our mission to create tech that makes a difference.
Tailor Your Experience: Make sure to highlight your relevant experience in backend development and AI integration. We want to see how your skills match the key responsibilities of the Lead AI Engineer role, so don’t hold back on showcasing your achievements!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your technical skills and experiences, as we value transparency and clarity in communication, especially when it comes to complex topics.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our journey in redefining media!
How to prepare for a job interview at Bauer Media Outdoor
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies and frameworks, especially those mentioned in the job description like Azure OpenAI. Be ready to discuss how you've integrated AI into production systems in your previous roles.
✨Showcase Your Problem-Solving Skills
Prepare examples of real business problems you've solved with AI solutions. Think about how you turned ambiguous challenges into clear, scalable technical solutions and be ready to share these stories during the interview.
✨Demonstrate Your Coding Expertise
Since this role requires writing clean, production-ready code, be prepared to discuss your coding practices. You might even be asked to solve a coding challenge, so practice your Python skills and be ready to explain your thought process.
✨Communicate Clearly
You'll need to explain complex technical concepts to non-technical audiences. Practice simplifying your explanations and think about how you can convey your ideas clearly and effectively during the interview.
