At a Glance
- Tasks: Design and build innovative AI solutions that automate workflows and enhance user experiences.
- Company: Join JCDecaux UK, a leader in real-world communications and cutting-edge technology.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Diverse and inclusive culture with a commitment to employee well-being and development.
- Why this job: Be at the forefront of AI technology and make a real impact on business processes.
- Qualifications: Degree in a relevant field and experience in AI or machine learning.
The predicted salary is between 60000 - 80000 € per year.
The AI Engineer designs, builds and operates scalable, secure AI solutions for JCDecaux UK, with a focus on Copilot implementations and agentic AI that augment users and automate complex workflows. The role converts business and data requirements into production-grade AI assistants, copilots and intelligent agents embedded into products, processes and decision making. Working closely with technology and business teams, the AI Engineer oversees solutions from experimentation through to deployment, optimisation and support, ensuring they integrate with JCDecaux UK’s digital, data and technology landscape. The role supports JCDecaux UK’s vision and mission by using advanced AI to pioneer real-world communications and enhance client and consumer understanding.
What you'll be doing...
- Design and implement AI copilots and agentic AI solutions that assist users, automate multi-step tasks and orchestrate calls to internal tools and systems.
- Translate business use cases into Copilot scenarios, prompt flows, connectors and agent behaviours, defining secure, scalable solution architectures.
- Build and maintain AI components (e.g. RAG, classification, recommendation, summarisation) using Python and modern ML/LLM frameworks.
- Implement end-to-end MLOps pipelines for development, testing, deployment and monitoring of Copilot and AI solutions, and deploy them into production environments (e.g. Microsoft 365 Copilot, Azure, internal apps).
- Integrate AI agents with enterprise systems (e.g. CRM, ERP, scheduling, inventory, data platforms) via APIs and microservices.
- Collaborate with data engineers to design data pipelines, retrieval layers (vector stores, search indices) and large-scale processing using big data frameworks.
- Implement monitoring, logging and analytics to track usage, performance, quality and user satisfaction, and lead optimisation to address issues such as drift, hallucinations and latency.
- Contribute to AI engineering standards, guardrails and best practices, and support incident investigation and resolution with Service Delivery.
- Ensure solutions comply with security, privacy, compliance and ethical AI requirements, including access controls, data protection and risk assessments.
- Share knowledge and mentor colleagues to build AI literacy and capability across IT and the wider business.
A little bit about you...
- Degree in Computer Science, Data Science, Software Engineering, Mathematics, Engineering or a closely related field.
- Previous experience in AI, data science, ML engineering or advanced analytics.
- Hands-on experience designing, building and deploying Copilot and/or agentic AI solutions (e.g. Microsoft 365 Copilot extensions, Azure OpenAI-based copilots, custom AI assistants/agents).
- Strong proficiency in Python for AI/ML development, including use of common ML and data libraries (e.g. TensorFlow/PyTorch, scikit-learn, pandas, NumPy).
- Proven experience integrating AI services with enterprise systems via APIs and event-driven architectures.
- Practical experience with LLMs, prompt engineering, RAG and tools/plugins for agents and copilots.
- Familiarity with cloud platforms (ideally Azure) and AI services (e.g. Azure OpenAI, Azure Machine Learning, or equivalents).
- Experience working in agile, cross-functional delivery teams.
Desired but not essential…
- Postgraduate study or certifications in AI, machine learning or data science.
- Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials.
- Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives).
- Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow).
- Strong experience with data engineering concepts (ETL/ELT, data integration, warehousing, vector databases/search).
A little bit more about us...
We believe in building a diverse and inclusive culture and positive employee experience. We are One Team, more than just ourselves. We are customer first, we understand, and help solve our customers’ problems. We Test & Learn, we are empowered to learn and grow, unafraid of change. We choose to care, we are committed to doing the right thing, the right way. It’s really important to us that we give as much to our colleagues as they give to us. Our latest Belonging Survey showed that our colleagues feel valued and listened to as we continue to build an environment where everyone can thrive, grow, belong and be their authentic selves. We believe that diversity of thought, experience and background provides the platform for great creativity. We are committed to equal employment opportunities regardless of race, colour, ancestry, religion, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Many of our colleagues work flexibly in many different ways. Please talk to us at interview about the flexibility you need. We can’t promise to give you exactly what you want, but we do promise not to judge you for asking.
About our recruitment process…
- You find or get sent this job advert, read it, and feel like you’d be a great addition to the JCD family.
- You send in your application to let us know you’re interested.
- We see your application, get excited, and give you a call.
- You’ll meet us twice, depending on the role prepare a presentation and we’ll get to know each other.
- You’ll begin your journey with us, we're excited to support and develop you throughout your career.
AI Engineer employer: JCDecaux
At JCDecaux UK, we pride ourselves on being an exceptional employer that fosters a diverse and inclusive culture, empowering our employees to thrive and grow. As an AI Engineer, you will have the opportunity to work on cutting-edge AI solutions in a collaborative environment, with access to continuous learning and development opportunities. Our commitment to flexibility and employee well-being ensures that you can balance your professional and personal life while contributing to innovative projects that shape the future of communications.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Copilot implementations or agentic AI. 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 practising common AI engineering questions and scenarios. Think about how you’d translate business use cases into AI solutions and be ready to discuss your experience with Python and MLOps pipelines.
✨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 being part of the JCDecaux UK team.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI solutions, especially those related to Copilot implementations. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific examples of projects you've worked on that demonstrate your ability to design and deploy AI systems. We love seeing real-world applications of your skills, so don’t hold back!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences shine through without unnecessary fluff.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at JCDecaux
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, especially around Copilot implementations and agentic AI. Be ready to discuss specific projects you've worked on, particularly those involving Python and ML frameworks like TensorFlow or PyTorch.
✨Understand the Business Context
Familiarise yourself with JCDecaux UK's business model and how AI can enhance their operations. Think about how you can translate business use cases into practical AI solutions, as this will show that you can bridge the gap between tech and business needs.
✨Prepare for Technical Questions
Expect technical questions related to MLOps pipelines, API integrations, and data engineering concepts. Practise explaining complex ideas in simple terms, as you'll need to communicate effectively with both tech and non-tech teams.
✨Show Your Collaborative Spirit
Since the role involves working closely with various teams, be prepared to discuss your experience in cross-functional collaboration. Share examples of how you've worked with data engineers or other stakeholders to deliver successful AI projects.