Location
GB London Office - Sale Place

Hours
Full Time (hours not specified)

Salary
Negotiable

About the Role
The AI Engineer designs, builds and operates scalable, secure AI solutions for JCDecaux UK, focusing on Copilot implementations and agentic AI that augment users and automate complex workflows. This 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 integration with JCDecaux UK’s digital, data and technology landscape.

Key responsibilities include designing and implementing AI copilots and agentic AI solutions that assist users, automate multi-step tasks and orchestrate calls to internal tools and systems; translating business use cases into Copilot scenarios, prompt flows, connectors and agent behaviours; building and maintaining AI components using Python and modern ML/LLM frameworks; implementing end-to-end MLOps pipelines for development, testing, deployment and monitoring; integrating AI agents with enterprise systems via APIs and microservices; collaborating with data engineers on data pipelines and large-scale processing; implementing monitoring, logging and analytics to track usage and performance; contributing to AI engineering standards and best practices; ensuring compliance with security, privacy, and ethical AI requirements; and mentoring colleagues to build AI literacy across the business.

This role supports JCDecaux UK’s vision by pioneering real-world communications and enhancing client and consumer understanding through advanced AI.

Experience
- 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 common ML and data libraries (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 (Azure OpenAI, Azure Machine Learning, or equivalents).
- Experience working in agile, cross-functional delivery teams.

About you
- Analytical and innovative thinker with strong problem-solving skills.
- Collaborative team player with excellent communication skills.
- Passionate about AI technology and its real-world applications.
- Committed to ethical AI practices and continuous learning.

Qualifications
- Degree as specified above.
- Desired but not essential: postgraduate study or certifications in AI, machine learning or data science.
- Cloud certifications (Azure, GCP, AWS) and relevant AI/ML credentials.
- Experience with big data and distributed computing (Spark, Databricks, Hadoop or cloud-native alternatives).
- Experience with containerisation and DevOps/MLOps tools (Docker, Kubernetes, Git, CI/CD, MLflow, Airflow).
- Strong experience with data engineering concepts (ETL/ELT, data integration, warehousing, vector databases/search).