Senior AI Engineer - Generative AI & Search

Salary: £55,000 - 95,000 per year

Requirements:

• Proven practical experience solving real-world problems using NLP, Information Retrieval, Search technologies, and Generative AI technologies.
• Knowledge of search platforms such as Apache Solr or Elasticsearch is a plus.
• Significant industry experience or a relevant academic background such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or Engineering.
• Demonstrated track record of delivering impactful results.
• Proficiency in enterprise-grade software engineering practices and principles, including solid fundamentals in data structures, algorithms, and a data-driven problem-solving approach.
• Solid communication skills, with the ability to collaborate effectively with both technical peers and business stakeholders to ensure alignment between technical solutions and client needs.

Responsibilities:

• Contribute to teams of Machine Learning and Software Engineers delivering AI-driven customer-facing products.
• Develop and deploy robust Retrieval-Augmented Generation (RAG) systems.
• Curate high-quality data for model training and evaluation.
• Build evaluation frameworks to support rapid iteration and continuous improvement based on real-world user interactions.
• Design and implement tools that enable LLM-powered search agents to handle complex client queries.
• Shape our generative AI ecosystem and scale innovative solutions to support thousands of users.
• Leverage traditional ML approaches and Generative AI to prototype, build, and maintain high-performing, client-facing search and streaming applications.
• Build robust APIs to facilitate search across diverse collections of data while maintaining relevance, stability, and reliability.
• Collaborate closely with product managers and engineers to integrate AI solutions into client-facing products and improve user experience.
• Architect, develop, and deploy production-quality search systems powered by LLMs.
• Continuously identify areas for improvement in our search systems, experiment with new ideas, and implement promising solutions.
• Design, train, test, and iterate on models and algorithms across the full lifecycle from idea inception to deployment and operationalization.
• Stay current with research in IR, NLP, and Generative AI and apply relevant innovations to practical solutions.
• Represent Bloomberg at industry events, scientific conferences, and within open-source communities.

Technologies:

• AI
• Architect
• CTO
• ElasticSearch
• Support
• LLM
• Machine Learning
• Model Training
• RAG
• Solr
• HTTP

More:

We are Bloombergs Engineering AI department, with 400+ AI practitioners building highly sought after products and features through novel innovation. We invest in AI to improve search, discovery, and workflow solutions, and we have been building Artificial Intelligence applications since 2009 to help process and organize structured and unstructured information for global capital markets. Our technology makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable. This role is based in London within our Engineering and CTO business area, and it sits on our AI Experiences team. We value practical ability, collaboration, and continuous improvement, and we give back to the technology community through our outreach and industry involvement.

last updated 36 week of 2026