AI Engineer

JCDecaux
Charing Cross, United Kingdom
10 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Charing Cross, United Kingdom

Tech stack

API
Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Azure
Big Data
Cloud Computing
Cloud Engineering
Continuous Integration
Information Engineering
Data Integration
ETL
DevOps
Distributed Systems
Hadoop
Python
Machine Learning
NumPy
TensorFlow
Azure
Software Engineering
Data Logging
Google Cloud Platform
Enterprise Software Applications
PyTorch
Office365
Large Language Models
Prompt Engineering
Spark
GIT
Pandas
Event Driven Architecture
Containerization
AI Platforms
Scikit Learn
Kubernetes
Information Technology
Data Management
Machine Learning Operations
Virtual Agents
GPT
Data Pipelines
Docker
Databricks
Microservices

Job description

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.

Reports to: Chief Innovation and Technology Officer

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.

Requirements

Do you have a Master's degree?, * 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)

Benefits & conditions

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

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