AI Engineer

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. Heres some of what you can expect when you join us. But dont just take our word for it see what our colleagues have to say at 

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 its 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

Were 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 youll 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.

Remote Work :

No

Employment Type :

Full-time