At a Glance
- Tasks: Design and develop advanced AI solutions, focusing on Natural Language Processing and Large Language Models.
- Company: Join Informa, a top-rated international company with a vibrant community.
- Benefits: Enjoy flexible working, competitive salary, and extensive career development opportunities.
- Why this job: Make a real impact in AI while collaborating with diverse teams across the globe.
- Qualifications: Proficiency in AI techniques, Python programming, and cloud deployment experience required.
- Other info: Embrace a supportive culture with social events and a commitment to diversity.
The predicted salary is between 43200 - 72000 £ per year.
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.
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.
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.
- 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.
We believe that great things happen when people connect face‑to‑face. That’s why we work in‑person with each other, or with customers and partners, three days a week or more. When you’re not spending time together in one of our offices or other workplaces – like at an Informa event – you get the flexibility and support to work from home or remotely. Employee experience is very important to us at Informa. On top of joining a supportive, diverse and ambitious team that welcomes all types of candidates, we are also flexible with different working patterns and prioritize promotions internally.
Our benefits include:
- 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 know that sometimes the ‘perfect candidate’ doesn’t exist, and that people can be put off applying for a job if they don’t fit all the requirements. If you’re excited about working for us and have most of the skills or experience we’re looking for, please go ahead and apply. You could be just what we need! We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Informa is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics under federal, state or local law.
If you would like to request reasonable adjustments or accommodations to assist your participation in the hiring process and, or in the advertised position, please inform the appropriate Talent Acquisition Partner for the role once they have been in touch.
AI Engineer in London employer: Informa
Contact Detail:
Informa 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 Informa on LinkedIn or attend industry events. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or GitHub repository showcasing your AI projects, especially those involving NLP and LLMs. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by solving coding challenges related to AI and machine learning. Websites like LeetCode or HackerRank can be super helpful.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our awesome team!
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI, NLP, and LLMs. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Show Your Passion for AI: Let us know why you’re excited about AI and how you stay updated on the latest trends and technologies. A genuine interest in the field can really make your application stand out!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary to explain your expertise. Make it easy for us to see your qualifications!
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 ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Informa
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI techniques, especially around Natural Language Processing and Large Language Models. Be ready to discuss specific projects you've worked on and how you tackled challenges in AI development.
✨Showcase Your Collaboration Skills
Since this role involves working closely with various teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you translate technical concepts for non-technical stakeholders.
✨Demonstrate Problem-Solving Prowess
Expect questions that test your analytical and problem-solving abilities. Think of scenarios where you've had to troubleshoot or optimise AI solutions, and be ready to explain your thought process and the outcomes.
✨Familiarise Yourself with Cloud Deployment
As cloud deployment is a key part of the role, make sure you understand AWS and tools like Amazon SageMaker. Be ready to discuss your experience with deploying AI solutions and any relevant MLOps practices you've used.