AI Engineer

Company Description

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 10,000 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.

Job Description

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.

Key Responsibilities:

• 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 LangGraph, LangChain.
  • 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 SageMaker, 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.

Qualifications

• Technical Expertise:
  • Proficiency in AI techniques such as RAG, LLM fine-tuning, and embedding models.
  • Advanced Python programming skills and experience with frameworks like LangGraph, LangChain.
  • 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 articulate technical concepts clearly.

Additional Information

We work hard to make sure Life at Informa is rewarding, supportive and enjoyable for everyone. Here’s some of what you can expect when you join us. But don’t just take our word for it – see what our colleagues have to say at LifeAt.Informa.com

Our benefits include:

• Freedom & flexibility: colleagues rate us highly for the flexibility and trust they receive and most of us balance time in the office with time working remotely 
• Great community: a welcoming culture with in-person and online social events, our fantastic Walk the World charity day and active diversity and inclusion networks
• Broader impact: take up to four days per year to volunteer, with charity match funding available too
• Career opportunity: the opportunity to develop your career with bespoke training and learning, mentoring platforms and on-demand access to thousands of courses on LinkedIn Learning. When it’s time for the next step, we encourage and support internal job moves
• Time out: 25 days annual leave, rising to 27 days after two years, plus a birthday leave day and the chance to work from (almost!) anywhere for up to four weeks a year
• A flexible range of personal benefits to choose from, plus company funded private medical cover
• A ShareMatch scheme that allows you to become an Informa shareholder with free matching shares
• Strong wellbeing support through EAP assistance, mental health first aiders, a healthy living subsidy, access to health apps and more
• Recognition for great work, with global awards and kudos programmes
• As an international company, the chance to collaborate with teams around the world

We’re not solely focused on a checklist of skills. We champion energy and ambition and look for colleagues who will roll their sleeves up, join in and help make things happen. If it sounds like a match and you have most – although not all – of the skills and experience listed, we welcome your application. At Informa, you’ll find inclusive experiences and environments where all perspectives and backgrounds are welcomed. As part of this approach and our diversity and inclusion commitments, we are also formally an Equal Opportunities Employer. This means we base decisions on relevant qualifications and merit and do not discriminate on the basis of key characteristics and statuses, including all of those protected by law.

See our website for full information on how Informa handles your personal data when you apply for a job.