At a Glance
- Tasks: Design and deploy AI software solutions that shape the media world.
- Company: Join Bauer Media, a leading media advertising company with a global impact.
- Benefits: Enjoy a competitive salary, pension scheme, life insurance, and enhanced parental leave.
- Other info: Inclusive workplace that values your potential, not just your experience.
- Why this job: Make a real difference in tech while working on innovative AI projects.
- Qualifications: 7+ years in software engineering with strong Python and backend skills.
The predicted salary is between 70000 - 90000 £ per year.
Our mission is to create tech that makes a difference, empowers teams, delights customers, and shapes the media world of tomorrow. We are one of the leading media advertising companies with over 33,000 advertising sites across the UK and EU. We are part of the global Bauer Media Group, committed to being both a platform for brands and a platform for good.
Location: London – 2 days a week. Salary depends on experience, with bonus and benefits.
About the Role
You will join our AI Enablement team at Bauer Media Outdoor. This role focuses on designing, building, and deploying AI‑enabled software solutions 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.
What You’ll Be Doing
- Write clean, well‑tested, production‑ready code while setting high standards and mentoring engineers in AI design and delivery.
- Own system design, delivery, and evolution; resolve complex performance, scalability, and integration challenges.
- Build and operate reliable infrastructure using practical DevOps and MLOps practices to monitor, optimize, and improve production AI solutions.
- Communicate technical decisions clearly to non‑technical stakeholders and ensure smooth user experiences.
What You’ll Bring to the Team
- 7+ years of professional software engineering experience with strong backend expertise.
- Strong proficiency in Python, with a solid understanding of distributed systems, APIs, microservices, and secure software design.
- Proven experience integrating AI/LLM‑based services into production; experience in ML or computer vision is beneficial but not essential.
- Experience with DevOps/MLOps tooling (CI/CD, Docker, Kubernetes, monitoring, logging) and comfort owning complex technical problems end‑to‑end.
Benefits
- Company Pension Scheme paid up to 8%
- Life Insurance and group income protection scheme
- Cycle to work scheme
- Enhanced Maternity & Paternity Cover
We believe in fairness and, as an equal opportunities employer, we work hard to foster an inclusive environment, a place where you can truly be yourself and be treated fairly. We are interested in what you can do, not just what you’ve done. Even if you don’t meet every requirement listed, we’d still love to hear from you.
Senior 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 Senior AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Bauer Media. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or contributions to open-source software. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail—this is your time to shine!
✨Tip Number 4
Don’t forget to 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 joining our team at Bauer Media.
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior AI Engineer role. Highlight your backend expertise, Python proficiency, and any relevant AI integration experience to catch our eye!
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 at Bauer Media. Share specific examples of your past work that demonstrate your problem-solving skills and technical prowess.
Showcase Your Projects:If you've worked on any AI projects or have experience with DevOps/MLOps tooling, make sure to include them in your application. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Bauer Media Outdoor UK
✨Know Your AI Stuff
Make sure you brush up on your AI knowledge, especially around generative AI and how it integrates into software solutions. Be ready to discuss your past experiences with AI/LLM-based services and how you've tackled complex technical problems.
✨Show Off Your Coding Skills
Prepare to demonstrate your coding abilities, particularly in Python. You might be asked to solve a problem on the spot, so practice writing clean, well-tested code that meets production standards. Think about how you can explain your thought process clearly.
✨Communicate Like a Pro
Since you'll need to communicate technical decisions to non-technical stakeholders, practice explaining complex concepts in simple terms. Use examples from your previous work to illustrate how you’ve made technical decisions that benefited the business.
✨Get Familiar with DevOps/MLOps
Understand the tools and practices related to DevOps and MLOps, like CI/CD, Docker, and Kubernetes. Be prepared to discuss how you've used these tools to build reliable infrastructure and improve production AI solutions in your past roles.
