AI Engineer

AI Engineer

Full-Time 63000 - 77000 £ / year (est.) Hybrid
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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 cutting-edge technology.
  • Benefits: Enjoy flexible working, competitive salary, and opportunities for professional growth.
  • Other info: Be part of an inclusive culture that values creativity and personal growth.
  • Why this job: Make a real impact with advanced AI while collaborating with diverse teams.
  • Qualifications: Degree in a relevant field and experience in AI or ML engineering.

The predicted salary is between 63000 - 77000 £ 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.

Summary

Location: London - Paddington
Type: Full time

AI Engineer employer: JCDecaux

At JCDecaux, we pride ourselves on being an inclusive employer that values diversity and fosters a supportive work culture. As a Tax Manager, you'll not only engage in meaningful tax compliance and reporting but also benefit from our commitment to employee growth through continuous learning and innovation. Our flexible working arrangements and dedication to creating a positive environment ensure that every team member can thrive and contribute their unique perspectives.

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Contact Details:

JCDecaux Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer

✨Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at JCDecaux or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

✨Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to JCDecaux.

✨Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like JCDecaux.

✨Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like JCDecaux that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace AI Engineer

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 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at JCDecaux.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at JCDecaux and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at JCDecaux

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If JCDecaux uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.