Team Leader - Document Research in London

Team Leader - Document Research in London

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

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 continuous improvement.
  • Why this job: Shape the future of AI in a dynamic environment while making a real 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

Ref #: 10051509

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.

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 L.P.

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 have the opportunity to lead a talented team while driving the integration of AI technologies, all within a culture that values diversity and continuous professional development. With access to cutting-edge resources and a commitment to employee growth, Bloomberg empowers its staff to make meaningful contributions to the future of data-driven solutions.

Bloomberg L.P.

Contact Detail:

Bloomberg L.P. 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 employees at Bloomberg through LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Team Leader role. Personal connections can make a huge difference!

Tip Number 2

Prepare for the interview by diving deep into Bloomberg's products and services. Understand how data fuels their operations and be ready to discuss how your experience aligns with their mission. Show them you’re not just another candidate, but someone who gets their world.

Tip Number 3

Practice your leadership stories! Be ready to share specific examples of how you've led teams, tackled challenges, and implemented improvements in past roles. This will showcase your ability to drive results and lead effectively in a dynamic environment.

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. Good luck, we believe in you!

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 your experience in leading operational teams and working with annotation systems. We want to see how your skills align with the role of Team Leader in Document Research!

Showcase Your Technical Skills:Don’t shy away from detailing your technical judgment and experience with AI applications. We’re looking for someone who understands how annotated data shapes AI model behaviour, so let us know how you’ve done this in the past!

Highlight Leadership Experience:As a Team Leader, your ability to mentor and develop a team is crucial. Share examples of how you've successfully led teams and fostered collaboration across different groups. We love seeing strong leadership in action!

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’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Bloomberg L.P.

Know Your Stuff

Make sure you have a solid understanding of annotation systems and how they impact AI model behaviour. Brush up on your knowledge of quality methodologies like calibration and drift detection, as these will likely come up in conversation.

Showcase Your Leadership Skills

Prepare examples that highlight your experience in leading operational teams. Think about times when you've successfully mentored team members or implemented improvements to workflows. This will demonstrate your capability to balance operational stability with innovation.

Understand the Bigger Picture

Familiarise yourself with Bloomberg's products and how they deliver value to users. Being able to discuss how your role as a Team Leader fits into the broader context of the company will show that you're not just focused on the task at hand, but also on the overall mission.

Ask Insightful Questions

Prepare thoughtful questions about the company's approach to AI and data governance. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially regarding collaboration and continuous improvement.