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JCDecaux UK

Artificial Intelligence Engineer

London
Posted about 2 months ago
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Artificial Intelligence Engineer

About the Role

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, optimization, 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 behaviors, 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 optimization 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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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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 the 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).

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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 the 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…

  1. You find or get sent this job advert, read it, and feel like you’d be a great addition to the JCD family.
  2. You send in your application to let us know you’re interested.
  3. We see your application, get excited, and give you a call.
  4. You’ll meet us twice, depending on the role, prepare a presentation, and we’ll get to know each other.
  5. You’ll begin your journey with us; we're excited to support and develop you throughout your career.
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Skills

Artificial Intelligence
Machine Learning
Python
MLOps
Data Engineering
APIs
Cloud Computing
Agile Methodologies
Prompt Engineering
Big Data
DevOps
Data Integration
Security Compliance
Analytics
Collaboration
Mentoring

Location

London, England, United Kingdom

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