At a Glance
- Tasks: Design and implement AI solutions that enhance user experience and automate workflows.
- Company: Join JCDecaux UK, a leader in innovative communications.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on ethical AI practices.
- Why this job: Be at the forefront of AI technology and make a real-world impact.
- 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.
- Microsoft co pilot is a must.
- 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).
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. 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.
Artificial Intelligence Engineer employer: JCDecaux JCDecaux Group
At JCDecaux UK, we pride ourselves on being an innovative employer that champions creativity and collaboration in the field of artificial intelligence. Our work culture fosters continuous learning and growth, providing employees with opportunities to develop their skills through mentorship and hands-on experience with cutting-edge AI technologies. Located in a vibrant environment, we offer flexible working arrangements and a commitment to diversity and inclusion, making us an excellent choice for those seeking meaningful and rewarding careers in AI engineering.
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