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: Enjoy flexible working, competitive salary, and opportunities for professional growth.
- Other info: Be part of an inclusive culture that values creativity and personal growth.
- Why this job: Make a real impact with advanced AI while collaborating with diverse teams.
- Qualifications: Degree in a relevant field and experience in AI or ML engineering.
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 in City of Westminster 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 be at the forefront of pioneering real-world communications while enjoying flexible working arrangements, comprehensive support for professional development, and a collaborative environment that values your contributions. Join us in shaping the future of AI solutions in a company that truly cares about its people and their well-being.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups or webinars, and connect with current employees at JCDecaux UK. 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, especially those involving Copilot or agentic AI solutions. Share it on platforms like GitHub or your personal website to grab attention.
✨Tip Number 3
Prepare for the interview by understanding JCDecaux UK's mission and how your skills align with their goals. Be ready to discuss how you can contribute to their vision of using advanced AI for real-world communications.
✨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 the JCDecaux UK team.
We think you need these skills to ace AI Engineer in City of Westminster
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 in 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 relate to AI engineering. Whether it's building AI assistants or integrating systems, we love to see your hands-on experience in action.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and skills shine through without unnecessary fluff.
Apply Through Our Website:Don't forget to submit your application via our website! It’s the best way for us to receive your details and get excited about your potential fit with the team.
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 and be prepared to share your ideas during the interview.
✨Showcase Your Collaboration Skills
Since this role involves working closely with technology and business teams, be ready to talk about your experience in cross-functional teams. Highlight any instances where you’ve successfully collaborated to deliver AI solutions or overcome challenges.
✨Prepare for Technical Questions
Expect technical questions related to MLOps pipelines, API integrations, and data engineering concepts. Brush up on your knowledge of cloud platforms, especially Azure, and be ready to discuss how you would implement secure and scalable AI solutions.