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Electrical Engineer
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Engineer (M/V) - London, United Kingdom - Informa
Description
Job Description Informa is a leading international events, intelligence, and scholarly research group.Through hundreds of powerful brands, we work with businesses and professionals in specialist markets, providing the connections, intelligence and opportunities that help customers grow, do business, make breakthroughs, and take better informed decisions.
Informa Connect , Informa Markets , Informa Tech , Taylor & Francis and Global Support .Global Support is Informa's fifth division, with major service hubs in the United Kingdom, the United States, Hong Kong, and Singapore as well as several smaller locations.
Global Support colleagues provide shared, efficient business services and function-specific expertise to each of Informa's operating divisions, enabling our commercial teams to focus on their markets and customers.
Technology Solutions & Services is a key function within Global Support, with responsibility for the management and evolution of the key enterprise technology disciplines that underpin day to day business operations including Strategy & Technology Change, Enterprise Architecture, Enterprise Technology, Customer Technology, Technology Operations, and Information Security.
We are now building a new Informa with the Growth Acceleration Plan II (GAP II) where customer centricity, Digital and Data is the beating heart.
As we embark on an ambitious journey with our Growth Acceleration Plan II (GAP II), focusing on customer centricity and leveraging the power of Digital and Data, Informa is excited to announce the formation of our new AI initative.
This will not just be a hub of innovation; We are looking for a AI Engineer to help to outline, deliver and extend Data & AI use cases across GroupThe AI Engineer position will be responsible to shape, create and integrate AI solutions with particular focus on Natural Language Processing, Large Language Models and Multi-Modal Generative AI.
The candidate will be working alongside other members of the CoE, Divisional Colleagues and Data Engineering teams to further drive AI development and innovation.
The AI Engineer will work closely with data scientists, delivery leads, product managers, content matter experts, and technology teams to develop, automate and scale-up advanced AI solutions to address key customer problems whilst also helping to develop methodologies and reusable solutions.
As the CoE AI Engineer, you will be responsible for providing technical expertise and leadership across all aspects of AI engineering process, from data acquisition, tagging, embedding, protection and storage.
Prepare and preprocess data to ensure it is ready for use by machine learning models and AI solutions.Work with a variety of data types including PDFs, Word documents, Excel files, HTML, audio, video, and text, as well as various databases.
Deploy LLM applications to cloud infrastructure (on AWS is plus)Manage production-grade LLM application involving RAG evaluation and improvements (RAGAS, advanced retrieval techniques), monitoring and visibility tooling and scaling LLM applications (Amazon SageMaker)
Keep up-to-date with the latest developments in data engineering, machine learning, and AI technologies to continually enhance data capabilities.
Strong understanding and hands-on experience in various ML techniques and algorithms, including RAG, fine-tuning models and working with large language models.
Mastery in Langchain and Python programming languages, essential for AI development and data manipulation tasks.Proficiency in handling and processing large datasets, ensuring data quality and accessibility, including expertise in vectorized datasets.
Experience with Data Integration Tools:
Proficiency in ETL/ELT tools and practices.
Competency in deploying and managing AI solutions on AWS cloud infrastructure. Knowledge of data security and privacy practices.
Effective problem-solving skills to address challenges encountered in AI development projects.
Knowledge and experience in MarTech preferred, applied in AI development projects.
Willingness to continuously learn and adapt to new technologies and methodologies in AI and data engineering.
We are also flexible with different working patterns and prioritize promotions internally. Learning and development plan to assist with your career development
~25 days annual leave, 4 days for volunteering and a day off for your birthday
~ Work with high quality specialist products
~ Bright and friendly staff who are all "expert's experts" and additional training and development for helping you achieve your career aspiration
~ Regular social events and networking opportunities
We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed.
We do not discriminate on the basis of race, colour, 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.
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