At a Glance
- Tasks: Design and deploy AI software solutions that make a real impact.
- Company: Leading media advertising company with a commitment to innovation.
- Benefits: Competitive pay, flexible work, and opportunities for professional growth.
- Other info: Inclusive workplace fostering creativity and collaboration.
- Why this job: Join a dynamic team shaping the future of media with cutting-edge AI technology.
- Qualifications: 6+ years in software engineering, strong Python skills, and AI integration experience.
The predicted salary is between 60000 - 80000 £ per year.
Our mission is to create tech that makes a difference, empowers teams, delights customers, and shapes the media world of tomorrow. We're one of the leading media advertising companies with over 33,000 advertising sites across the UK and EU. As part of the global Bauer Media Group, we're committed to being both a platform for brands and a platform for good. From Netflix, Disney, The National Lottery, Heineken and many more, we advertise for some of the best brands which reach millions of people every day! We don't just sell space, we deliver impact for our clients and value for the communities we serve.
About The Role
You’ll join our AI Enablement team at Bauer Media Outdoor. This role is focused on designing, building and deploying AI enabled software solutions that are used across the organisation. You’ll 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’ll be accountable for technical problem solving, system design, AI integration and delivering production quality code that creates clear business value. You can explore and experiment with new and emerging AI technology, building, shipping and owning practical, technical solutions to real business problems that are used in practice.
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
- 6+ years of professional software engineering experience with strong backend expertise.
- Strong proficiency in Python, with 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.
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.
AI Engineer - Contract Inside IR35 - 3-6 months employer: Bauer Media Outdoor
At Bauer Media Outdoor, we pride ourselves on being an exceptional employer that champions innovation and inclusivity. Our vibrant work culture encourages collaboration and creativity, providing employees with opportunities to grow their skills in cutting-edge AI technology while working on impactful projects for renowned brands. Located in London, our commitment to employee well-being and professional development ensures that you can thrive both personally and professionally in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Contract Inside IR35 - 3-6 months
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 or contributions to open-source software. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨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. We want to see how you think and approach problems!
✨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 joining our team at Bauer Media Outdoor.
We think you need these skills to ace AI Engineer - Contract Inside IR35 - 3-6 months
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We want to see how you can contribute to our mission of creating tech that makes a difference. Share any projects or experiences that highlight your love for AI and how it can shape the media world.
Tailor Your Experience:Make sure to customise your application to reflect the skills and experiences that align with the role. Highlight your backend expertise and any experience with AI integration. We’re looking for someone who can hit the ground running, so show us how your background fits perfectly with what we do!
Keep It Clear and Concise:We appreciate clarity in applications! Keep your writing straightforward and to the point. Use bullet points where necessary to make it easy for us to see your key achievements and skills. Remember, we want to understand your journey without wading through too much fluff.
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 serious about joining our team at Bauer Media Outdoor!
How to prepare for a job interview at Bauer Media Outdoor
✨Know Your AI Stuff
Make sure you brush up on your AI knowledge, especially around integrating AI/LLM-based services. Be ready to discuss your experience with Python and how you've tackled complex technical problems in the past.
✨Showcase Your Coding Skills
Prepare to demonstrate your coding abilities. You might be asked to write clean, production-ready code during the interview, so practice coding challenges that focus on backend development and system design.
✨Communicate Clearly
Since you'll need to explain technical decisions to non-technical stakeholders, practice simplifying complex concepts. Think about how you can convey your ideas clearly and effectively to ensure everyone is on the same page.
✨Familiarise Yourself with DevOps/MLOps
Get comfortable with tools like Docker, Kubernetes, and CI/CD practices. Be prepared to discuss how you've used these tools in previous projects to build reliable infrastructure and improve production AI solutions.