AI Engineer at Informa

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

18 Dec, 25

Salary

0.0

Posted On

19 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Techniques, Natural Language Processing, Large Language Models, Multi-Modal Generative AI, Python Programming, Data Preparation, Cloud Deployment, MLOps, Problem Solving, Collaboration, Monitoring Tools, Documentation, Best Practices, ETL Tools, Containerization, Performance Optimization

Industry

Information Services

Description

Company Description This role is based in our 240 Blackfriars, London office. At Informa Global Support, we’re about connecting businesses and professionals with knowledge. From cutting-edge research to specialist digital demand, our reach is extensive. We’re the power behind a range of fantastic brands such as FAN EXPO, Omdia, World of Concrete and many more. Through cutting edge research we’re here to champion specialists by helping people learn more, know more and do more. As those businesses grow and develop, so will the opportunities for you to grow and develop within Informa Global Support. We’re passionate about building for the future - and want your future to be with us. Because we know you’re hungry to expand your skills by embracing new experiences. And all the while you’ll be supported by a community of talented and like-minded colleagues, where openness is encouraged and a can-do attitude is the norm. 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 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. See how Informa handles your personal data when you apply for a job here.

Responsibilities

As an AI Engineer, you will design, develop, and deploy advanced AI solutions focusing on Natural Language Processing and Large Language Models. You will collaborate with various stakeholders to build scalable, production-grade AI solutions that meet customer needs.