At a Glance
- Tasks: Design and build AI solutions that solve real business problems and enhance user experience.
- Company: Bauer Media Outdoor, a leader in innovative advertising technology.
- Benefits: Hybrid working, 25 paid holidays, healthcare plan, and pension scheme.
- Other info: Opportunity to mentor and grow within a dynamic tech team.
- Why this job: Join a digital revolution in advertising and work with cutting-edge AI technology.
- Qualifications: 8+ years in software engineering, strong Python skills, and AI integration experience.
The predicted salary is between 48000 - 84000 £ per year.
About Us
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 is to be the industry-leading technology team, renowned for customer-centric, reliable, fast, flexible, and innovative solutions.
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 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 employer: Bauer Media Outdoor UK
Bauer Media Audio is an exceptional employer, offering a dynamic and collaborative work culture that prioritises innovation and employee growth. As part of a new in-house software development hub in Manchester, you'll have the opportunity to shape the future of audio platforms while benefiting from extensive training, flexible working arrangements, and a commitment to inclusivity. Join us to make a real impact on millions of listeners across Europe, all while being supported in your professional development and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer
✨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 and any relevant work you've done. This is your chance to demonstrate how you can solve real problems and deliver value, just like we do at Bauer Media Outdoor.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI engineering. Be ready to discuss how you've tackled complex challenges and how you can contribute to our mission of creating tech that makes a difference.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of our journey to redefine media.
We think you need these skills to ace Lead AI Engineer
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 demonstrate your skills and passion for the field.
Tailor Your Application:Make sure to customise your application to align with our mission at Bauer Media Outdoor. Highlight your experience in building AI solutions and how they relate to our goal of creating tech that makes a difference.
Be Clear and Concise:We appreciate clarity! Use straightforward language to explain your technical expertise and past experiences. Avoid jargon where possible, as we want to understand your journey without getting lost in complex terms.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Bauer Media Outdoor UK
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies and trends, especially those relevant to the role. Be ready to discuss how you've integrated AI services like Azure OpenAI in your past projects, as this will show your hands-on experience and understanding of real-world applications.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled complex engineering challenges in the past. Think about specific instances where you turned ambiguous business problems into clear technical solutions, as this aligns perfectly with what they’re looking for in a Lead AI Engineer.
✨Communicate Clearly
Since you'll need to explain technical decisions to non-technical audiences, practice simplifying complex concepts. Use analogies or straightforward language to convey your ideas effectively, demonstrating that you can bridge the gap between tech and business.
✨Be Ready to Prototype
Expect to discuss your approach to prototyping and iterating based on user feedback. Share experiences where you quickly moved from concept to production, highlighting your ability to deliver meaningful use cases in a short timeframe, which is crucial for this role.
