AI Engineer

This role is based in our 240 Blackfriars, London office.

At Informa, no two days and no two people are the same, and you'll find the freedom, opportunity and support of a fantastic community to make a real impact.

We’re an international business that connects specialists with knowledge, helping them to learn more, know more and do more through live and on demand events, digital and data‑driven services and academic research.

We are home to over 14,000 colleagues across 30 countries and are a member of the UK’s FTSE 100 group of leading public companies. We’re thrilled to have earned the #3 spot in Glassdoor's Best Places to Work 2025 UK list, a recognition based solely on reviews by those who know us best – our current and previous colleagues.

In Global Support, we provide expert guidance and hands‑on support to the Informa Group and Informa’s many business teams. Across tech, finance, legal, corporate development, HR, communications, operations and many other areas, we work collaboratively and flexibly to help our brands serve their customers and help the company succeed.

As an AI Engineer, you will play a pivotal role in designing, developing, and deploying advanced AI solutions, with a strong focus on Natural Language Processing (NLP), Large Language Models (LLMs), and Multi‑Modal Generative AI. You will work closely with data scientists, product managers, engineers, and other stakeholders, and build scalable, production‑grade AI solutions that address customer needs and enable operational excellence.

• AI Solution Development
  • Design, develop, and optimize AI algorithms and models tailored to business needs, ensuring scalability and performance.
  • Develop APIs and services to make AI functionalities accessible across the organization.
• Data Preparation & Processing
  • Preprocess and prepare diverse data types (PDFs, Word documents, Excel files, HTML, audio, video, and databases) for machine learning models.
  • Ensure data quality, security, and readiness for AI applications.
• LLM Applications
  • Build advanced LLM applications, including Retrieval‑Augmented Generation (RAG) workflows, fine‑tuning, and embedding models.
  • Implement reasoning and agent‑based systems, leveraging tools like Lang Graph, Lang Chain.
  • Evaluate and optimize performance with techniques like RAGAS and advanced retrieval mechanisms.
• Cloud Deployment & Operations
  • Deploy AI and LLM applications to cloud infrastructure (AWS preferred).
  • Manage production‑grade solutions with tools like Amazon Sage Maker, implementing monitoring, scaling, and visibility tools.
• Performance Monitoring & Troubleshooting
  • Track the performance of deployed AI solutions using monitoring tools and feedback mechanisms.
  • Continuously improve solution quality by analyzing outputs and addressing identified issues.
• Research & Innovation
  • Stay updated on emerging AI methodologies, frameworks, and technologies.
  • Incorporate cutting‑edge developments into existing workflows and create reusable AI frameworks.
• Cross‑Functional Collaboration
  • Work with stakeholders such as delivery leads, product managers, and domain experts to translate business needs into actionable AI solutions.
  • Collaborate with IT and cloud operations teams to ensure seamless integration and scalability of AI tools.
• Documentation & Best Practices
  • Maintain detailed documentation of AI models, processes, and workflows.
  • Establish and promote best practices for AI development, deployment, and maintenance across teams.

• Technical Expertise
  • Proficiency in AI techniques such as RAG, LLM fine‑tuning, and embedding models.
  • Advanced Python programming skills and experience with frameworks like Lang Graph, Lang Chain.
  • Expertise in handling large datasets, including vectorized datasets, and using ETL/ELT tools.
• Cloud & MLOps
  • Hands‑on experience deploying and managing AI solutions on AWS.
  • Familiarity with containerization technologies like Docker and MLOps practices for efficient model lifecycle management.
• Problem Solving & Collaboration
  • Strong analytical and problem‑solving skills for tackling AI development challenges.
  • Excellent communication skills to collaborate with cross‑functional teams and…