At a Glance
- Tasks: Design and develop cutting-edge AI solutions, focusing on NLP and generative AI.
- Company: Join Informa, a top FTSE 100 company, known for innovation and community.
- Benefits: Enjoy flexible working, generous leave, and opportunities for personal development.
- Why this job: Be part of a dynamic team shaping the future of AI with real-world impact.
- Qualifications: Proficiency in Python and AI techniques; experience with AWS and data handling required.
- Other info: Embrace a culture of inclusivity and collaboration while making a difference globally.
The predicted salary is between 43200 - 72000 £ per year.
Company Description
This role is based in London, UK 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.
As part of our ambitious AI journey, Informa is establishing an AI Core Team to drive innovation and deliver AI-powered solutions. This team is central to shaping our strategy, roadmap, and execution of AI priorities, unlocking the potential of our 12,000+ employees while creating transformative capabilities for our customers. We are now seeking an AI Engineer to join this cutting-edge initiative.
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.
Ask us or see our website for full information. #J-18808-Ljbffr
AI Engineer employer: Informa Group Plc.
Contact Detail:
Informa Group Plc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI, particularly in Natural Language Processing and Large Language Models. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with current employees or professionals in the AI field through platforms like LinkedIn. Engaging with them can provide insights into the company culture and the specific challenges they face, which you can address in your discussions.
✨Tip Number 3
Prepare to discuss your experience with cloud deployment, especially on AWS. Be ready to share specific examples of projects where you've successfully implemented AI solutions, as this will demonstrate your hands-on expertise.
✨Tip Number 4
Showcase your problem-solving skills by preparing to discuss past challenges you've faced in AI development. Highlight how you approached these issues and the innovative solutions you implemented, as this aligns with the company's focus on innovation.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the AI Engineer role. Focus on your proficiency in AI techniques, Python programming, and any cloud deployment experience you have.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and how your background fits the company's mission. Mention specific projects or experiences that demonstrate your ability to develop AI solutions and collaborate with cross-functional teams.
Showcase Your Technical Skills: In your application, emphasise your technical expertise in areas like Natural Language Processing, Large Language Models, and cloud technologies. Provide examples of how you've applied these skills in previous roles or projects.
Highlight Collaboration Experience: Since the role involves working closely with various stakeholders, include examples of past collaborations. Describe how you effectively communicated technical concepts and contributed to team success in AI projects.
How to prepare for a job interview at Informa Group Plc.
✨Showcase Your Technical Skills
As an AI Engineer, it's crucial to demonstrate your proficiency in AI techniques, especially in Natural Language Processing and Large Language Models. Be prepared to discuss specific projects where you've applied these skills, and consider bringing examples of your work or code snippets to showcase your expertise.
✨Understand the Company’s AI Vision
Familiarise yourself with Informa's AI journey and their goals for the AI Core Team. Research their current AI initiatives and think about how your skills can contribute to their mission. This will show your genuine interest in the role and help you align your answers with their objectives.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions during the interview. Practice explaining your thought process clearly and concisely. Use the STAR method (Situation, Task, Action, Result) to structure your responses, particularly when discussing past challenges you've overcome in AI development.
✨Emphasise Collaboration and Communication
Since the role involves working closely with cross-functional teams, highlight your collaboration and communication skills. Share examples of how you've successfully worked with product managers, data scientists, or other stakeholders to deliver AI solutions, and be ready to discuss how you articulate complex technical concepts to non-technical audiences.