Gen AI Platform Team Lead - Artificial Intelligence | London, UK

Bloomberg
London
1 week ago
Create job alert

Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to markets. The Bloomberg Terminal connects influential communities across the global financial ecosystem via reliable technology that enables our customers to make informed decisions and foster collaboration. For over a decade, Bloomberg has been a trailblazer in financial applications of AI, machine learning, and natural language processing (NLP). The Artificial Intelligence group is responsible for driving adoption of these technologies at Bloomberg, with over 300 research engineers working collaboratively to provide clients with the best-in-class news, research, market data, and analytics.

The AI group contributes to Bloomberg's flagship products such as news, research, pricing, communications platforms, search and discovery tools. We work on a variety of AI subfields, including NLP, information retrieval, time series analysis, and recommender systems. We are seeking a highly skilled and motivated GenAI Platform Team Lead who will be responsible for leading a team of platform engineers within the AI group. This role focuses on building and scaling Bloomberg's internal platform for GenAI application development, enabling teams to rapidly prototype, productionise, deploy, and manage AI-powered solutions across the organization.

What's In It for You:

  • Drive innovation in Enterprise-scale GenAI Application Platform development
  • Opportunity to shape the future of GenAI Applications at Bloomberg
  • Lead a team working on cutting-edge technology that impacts thousands of financial professionals
  • Work with and contribute to leading open-source projects
  • Collaborate with world-class AI researchers and engineers

We'll Trust You To:

  • Lead and mentor a team of platform engineers building our multi-tenant GenAI applications development platform
  • Collaborate with internal, cross-functional teams, as well as open-source communities, to build a cohesive GenAI experience
  • Work with stakeholders across Bloomberg to understand their GenAI application needs and translate them into platform capabilities
  • Champion the adoption of the platform across Bloomberg's engineering teams
  • Spearhead the architecture and development of our platform and make technical decisions that balance immediate needs with longer-term strategic goals

You'll Need to Have:

  • Extensive full-stack software engineering experience, with proven experience building developer platforms or tools
  • Deep understanding of the GenAI application lifecycle, including application prototyping, productionization and maintenance
  • Previous experience leading and managing technical teams
  • Proven experience building and operating large-scale, multi-tenant platforms
  • Strong expertise with container orchestration (particularly Kubernetes) and cloud-native technologies
  • Proficiency in Python, Go and/or Typescript
  • A Degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience
  • Ability to effectively communicate, challenge, and influence team members, peers, and stakeholders
  • History of successfully delivering on key initiatives and driving long-term strategic technology plans

We'd Love to See:

  • Familiarity with large language models and their operational requirements
  • Knowledge of vector databases and efficient retrieval systems
  • Understanding of the financial services domain and associated requirements (e.g., compliance, governance, risk management)
  • Contributions to open-source projects, particularly in the ML/AI application space (e.g., LlamaIndex, LangChain, Streamlit, Gradio)
  • Experience with Bloomberg's Platform tech stack (including Kubernetes, Argo Workflows, Buildpacks)
  • Strong track record of cross-team collaboration and stakeholder management

If this sounds like you, apply if you think we're a good match! We'll get in touch with you to let you know what the next steps are. In the meantime, check us out athttp://www.techatbloomberg.com/ai.

#J-18808-Ljbffr

Related Jobs

View all jobs

Customer Decisioning SME

Manager & Senior Manager - Data Science

Scientific Project Lead, Quantum Algorithms and AI

Senior Kotlin Engineer

Sr. Director of Engineering, AI & ML

Lead Machine Learning Engineer - GenAI

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.

AI Leadership for Managers: How to Motivate, Mentor, and Set Realistic Goals for Data-Driven Teams

As artificial intelligence (AI) becomes ever more integral to modern business, the need for skilled leadership in AI-intensive projects has skyrocketed. Whether an organisation is building a sophisticated recommendation system, streamlining internal operations, or breaking new ground in automated decision-making, AI leaders hold the key to successful implementation. They bridge the gap between deep technical knowledge and broader business objectives, ensuring that data-driven initiatives meet real-world needs and deliver tangible value. This comprehensive guide is designed for managers and aspiring leaders aiming to excel in AI-driven environments. By exploring how to motivate and mentor AI professionals, set achievable goals, and foster a high-performance culture, you will gain valuable insights into what it takes to lead teams in a sphere defined by rapid innovation, complex challenges, and vast opportunities.

10 Best AI Books for UK Job Seekers: Boost Your Artificial Intelligence Career in 2025

The field of Artificial Intelligence (AI) is advancing at a phenomenal pace, and the demand for skilled professionals in the UK job market—and globally—has never been higher. Whether you’re a newcomer looking to break into the industry or a seasoned professional wanting to future-proof your skill set, reading the right books can make all the difference. From foundational texts that build core understanding to more advanced works diving into cutting-edge technologies, these resources will equip you with the knowledge and insights needed to succeed in AI-related roles. In this comprehensive blog post, we’ll explore ten must-read books for job seekers eager to stand out in a competitive AI recruitment landscape. We’ll examine what each book brings to the table, how it can help you refine both your theoretical and practical skills, and why it’s relevant to your career development. By the end, you’ll have a reading list guaranteed to strengthen your CV and your capabilities, giving you a competitive edge as you carve out a successful AI career.