Team Leader - Document Research in London

Team Leader - Document Research in London

London Full-Time 60000 - 80000 € / year (est.) No home office possible
Bloomberg

At a Glance

  • Tasks: Lead a team in developing AI evaluation and annotation programmes for document research.
  • Company: Bloomberg, a leader in data-driven technology and innovation.
  • Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
  • Other info: Join a culture that values diversity and promotes collaboration.
  • Why this job: Shape the future of AI in a dynamic environment with real-world impact.
  • Qualifications: 3+ years of leadership experience and strong technical judgement in data operations.

The predicted salary is between 60000 - 80000 € per year.

Location: London

Business Area: Data

Description & Requirements

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients.

Our Team:

The Data Artificial Intelligence group is focused on bringing a comprehensive strategic vision to incorporating AI within the department. We see our responsibilities as driving both the prioritization and implementation of AI methods within the Data Department, as well as standardizing and promoting Data as a partner in the development of AI-enhanced products throughout the firm through domain expertise.

What’s the Role?

As a Team Leader of the Document Research team, you will be pivotal in the development of our evaluation and annotation programmes for our AI applications & experiences within the document research space. The responsibilities will include representing Data in the development of these AI products, alongside CTO, Engineering and Product, contributing domain expertise in the generation of evaluation and annotation programs. Your work will touch a multitude of domains across different groups and inform a variety of expert research systems powered by generative AI. The ideal candidate is a technically grounded, systems-oriented leader who understands how annotated data shapes AI model behavior and evaluation outcomes. You are comfortable operating at scale while exercising deep technical judgment, enforcing standards, interpreting ambiguity, and using metrics to detect drift, diagnose failure modes, and continuously improve data quality.

We'll Trust You To:

  • Establish and maintain close partnerships with Engineering, CTO and Product counterparts and contribute to the priorities and implementation roadmaps for client facing AI applications & experiences.
  • Recruit, mentor and develop a team of data management professionals who are experts in evaluation frameworks, annotations management, and project management while promoting a culture of cross team collaboration.
  • Balance operational stability and adoption of new technologies during implementation, while challenging partners’ past assumptions.
  • Identify and implement improvements to schemas, workflows, and operational processes.
  • Participate and contribute to technical discussions and provide insights on design, code reviews, and other relevant areas as required by the team.
  • Collaborate with strategic partners on large-scale programs (technical and operational) with enterprise-wide influence through effective data governance, cross-team organization, and stakeholder engagement.

You'll Need to Have:

  • Bachelor’s or Master’s degree.
  • 3+ years of experience leading operational or program-focused teams.
  • Demonstrated technical judgment in designing or operating annotation systems that support machine learning training, evaluation, or model assessment.
  • Good understanding of annotation systems and quality methodologies, including calibration, agreement modeling, and drift detection.
  • Demonstrable experience running large-scale annotation or data operations with vendor and SME workforces.
  • Ability to enforce centrally defined standards while maintaining consistency at scale.
  • Excellent multi-functional leadership skills and comfort operating in ambiguity-rich environments.
  • Strong program leadership capability, with a focus on measurable outcomes and continuous improvement.

We'd Love to See:

  • Exposure to the Bloomberg Terminal and/or Enterprise Data products.
  • Up-to-date knowledge of financial markets, and how Bloomberg products deliver value to our users.
  • Experience with the Data tech stack and HiTL platform (e.g. Gigwork, Autolab, BBDS, etc.).
  • Project Management Professional (PMP) or other relevant certifications are desirable.

Does this sound like you? Apply if you think you're a match! If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.

Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email.

Team Leader - Document Research in London employer: Bloomberg

Bloomberg is an exceptional employer, offering a dynamic work environment in London where innovation and collaboration thrive. As a Team Leader in Document Research, you will benefit from a culture that prioritises employee growth through mentorship and cross-team collaboration, while also enjoying access to cutting-edge technology and resources that empower you to make a significant impact in the AI space. With a commitment to diversity and inclusion, Bloomberg fosters a supportive atmosphere that values every individual's contribution, making it a truly rewarding place to advance your career.

Bloomberg

Contact Detail:

Bloomberg Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Team Leader - Document Research in London

Tip Number 1

Network like a pro! Reach out to current or former employees at Bloomberg through LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

Tip Number 2

Prepare for the interview by diving deep into Bloomberg's products and services. Knowing how their data and AI applications work will show you're genuinely interested and ready to contribute from day one.

Tip Number 3

Practice your leadership stories! Be ready to share examples of how you've led teams, tackled challenges, and implemented improvements. This is your chance to shine and show them you’re the right fit for the Team Leader role.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team at Bloomberg.

We think you need these skills to ace Team Leader - Document Research in London

Technical Judgment
Annotation Systems Design
Machine Learning Training Support
Quality Methodologies
Calibration
Agreement Modeling
Drift Detection

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight how your experience aligns with the role of Team Leader - Document Research. We want to see how your skills can contribute to our innovative AI applications!

Showcase Your Leadership Skills:As a Team Leader, it's crucial to demonstrate your leadership capabilities. Share examples of how you've successfully led teams or projects in the past, especially in data management or AI-related fields.

Highlight Technical Expertise:Don’t forget to emphasise your technical judgement and experience with annotation systems. We’re looking for someone who understands how annotated data shapes AI model behaviour, so make that clear in your application!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!

How to prepare for a job interview at Bloomberg

Know Your Stuff

Make sure you have a solid understanding of annotation systems and quality methodologies. Brush up on calibration, agreement modelling, and drift detection, as these are crucial for the role. Being able to discuss these topics confidently will show that you're technically grounded and ready to lead.

Showcase Your Leadership Skills

Prepare examples of how you've successfully led teams in the past. Highlight your experience in mentoring and developing team members, especially in data management or project management. This will demonstrate your ability to balance operational stability with new technology adoption.

Understand the Bigger Picture

Familiarise yourself with Bloomberg's products and how they deliver value to users. Knowing how your role as a Team Leader fits into the larger context of AI applications will help you articulate your vision and contributions during the interview.

Engage in Technical Discussions

Be ready to participate in technical discussions and provide insights on design and code reviews. Prepare some thoughtful questions about their current projects or challenges they face. This shows your proactive approach and willingness to collaborate with engineering and product teams.