AI Engineer in London

AI Engineer in London

London Full-Time 60000 - 80000 € / year (est.) Home office (partial)
JCDecaux

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 technology.
  • Benefits: Flexible working, inclusive culture, and opportunities for personal and professional growth.
  • Other info: Collaborative environment with a commitment to diversity and employee well-being.
  • Why this job: Be at the forefront of AI technology and make a real impact on businesses and consumers.
  • Qualifications: Degree in a relevant field and experience in AI or machine learning.

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…

  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.

AI Engineer in London employer: JCDecaux

At JCDecaux UK, we pride ourselves on being an exceptional employer that fosters a culture of innovation and inclusivity. As an AI Engineer, you'll have the opportunity to work with cutting-edge technology in a collaborative environment that values your contributions and encourages professional growth. Our commitment to employee well-being and flexible working arrangements ensures that you can thrive both personally and professionally while making a meaningful impact in the world of AI-driven communications.

JCDecaux

Contact Detail:

JCDecaux Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer in London

Tip Number 1

Network like a pro! Reach out to current employees at JCDecaux UK on LinkedIn. Ask them about their experiences and any tips they might have for the interview process. A friendly chat can give you insider info that could set you apart.

Tip Number 2

Prepare for your interviews by diving deep into AI trends and technologies relevant to the role. Brush up on your Python skills and be ready to discuss how you've implemented AI solutions in the past. Show us you’re not just a candidate, but a passionate problem-solver!

Tip Number 3

Don’t forget to showcase your projects! Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really impress us. We love seeing how you’ve tackled real-world problems with your AI skills.

Tip Number 4

Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in being part of the JCDecaux UK family. Let’s make it happen!

We think you need these skills to ace AI Engineer in London

AI Solution Design
Copilot Implementation
Agentic AI Development
Python Programming
Machine Learning Frameworks (e.g. TensorFlow, PyTorch)
MLOps Pipeline Implementation
API Integration

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!

Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your technical skills and experiences, so we can easily understand how you fit into our team.

Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and get excited about your potential contribution to 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.

Showcase Your Problem-Solving Skills

Prepare to talk about how you've translated business requirements into technical solutions. Think of examples where you've automated complex workflows or integrated AI with enterprise systems, and be ready to explain your thought process.

Familiarise Yourself with Their Tech Stack

Research JCDecaux UK's digital landscape and the tools they use, such as Azure and Microsoft 365 Copilot. Understanding their tech stack will help you tailor your answers and show that you're genuinely interested in the role.

Ask Insightful Questions

Prepare some thoughtful questions about the team dynamics, ongoing projects, or their approach to AI ethics and compliance. This shows that you're not just interested in the job, but also in how you can contribute to their mission and culture.