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Bloomberg Machine Learning Jobs (NOW HIRING)

Noetica Inc

Get on Our Radar

New York, NY · On-site

... machine learning platform and decades of ML PhD expertise. Founded in 2022 and based in New York ... We're fortunate to have been featured in Wall Street Journal, Bloomberg, and American Banker ...

Sandbar

Head of Engineering

New York, NY · On-site

$230K - $300K/yr

... WSJ, Bloomberg, & Wired, and begins shipping in Summer '26. Join us in creating technology that extends human thinking. About As Head of Engineering, you'll lead our software and machine learning ...

Embedding VC

AI Research Engineer

Mountain View, CA · On-site

$241K/yr

Check out our latest coverage by Fast Company, TechCrunch, Bloomberg TV, and our recognition as one ... D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

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Bloomberg Machine Learning information

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$25.5K

$42.6K

$88K

How much do bloomberg machine learning jobs pay per year?

As of Jul 9, 2026, the average yearly pay for bloomberg machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is the difference between Bloomberg Machine Learning vs Bloomberg Data Analyst?

AspectBloomberg Machine LearningBloomberg Data Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Economics, Finance, or related; strong analytical skills
Work EnvironmentDeveloping algorithms, modeling, coding in Python/RData collection, analysis, reporting, using Excel/SQL
Industry UsageBuilding predictive models for financial dataInterpreting data trends for investment decisions

Bloomberg Machine Learning focuses on developing algorithms and models to analyze financial data, requiring programming and technical expertise. Bloomberg Data Analysts interpret and report on data trends, emphasizing analytical skills and financial knowledge. Both roles are integral to Bloomberg's data-driven environment but differ in technical depth and daily tasks.

What is a Bloomberg Machine Learning Engineer?

A Bloomberg Machine Learning Engineer is a specialist who develops and implements machine learning models and algorithms to solve complex financial problems using Bloomberg's vast datasets. They work closely with software engineers, data scientists, and business teams to improve data-driven products and services. Their responsibilities may include researching new machine learning techniques, optimizing existing models, and deploying solutions into Bloomberg's production systems. This role requires strong programming skills, experience with machine learning frameworks, and a solid understanding of financial markets.

How does a Machine Learning Engineer at Bloomberg typically collaborate with data scientists and software engineers?

At Bloomberg, Machine Learning Engineers work closely with data scientists to translate research models into production-ready systems, ensuring scalability and efficiency within real-time financial applications. They also partner with software engineers to integrate machine learning models into Bloomberg’s technology stack, maintaining performance and data security standards. Regular collaboration through agile methodologies and cross-functional meetings is common, allowing team members to align on project goals and address technical challenges quickly. This team-oriented environment fosters innovation and provides opportunities for skill development across both engineering and data science disciplines.

What are the key skills and qualifications needed to thrive as a Bloomberg Machine Learning Engineer, and why are they important?

To thrive as a Bloomberg Machine Learning Engineer, you need strong programming skills in Python or C++, a background in computer science or related field, and expertise in statistics and machine learning algorithms. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and version control systems like Git is essential, and advanced degrees or certifications in AI/ML are highly valued. Analytical thinking, problem-solving ability, collaboration, and effective communication are soft skills that set top performers apart. These competencies are crucial for building robust, scalable ML solutions that drive Bloomberg's data-driven products and maintain their industry-leading analytics.
More about Bloomberg Machine Learning jobs
What states have the most Bloomberg Machine Learning jobs? States with the most job openings for Bloomberg Machine Learning jobs include:
What job categories do people searching Bloomberg Machine Learning jobs look for? The top searched job categories for Bloomberg Machine Learning jobs are:
Bloomberg Machine Learning jobs near you
Infographic showing various Bloomberg Machine Learning job openings in the United States as of July 2026, with employment types broken down into 4% Locum Tenens, 93% Full Time, 2% Part Time, and 1% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Team Leader - Document Research

Team Leader - Document Research

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

11th of 205 rated software companies

Job description

Team Leader - Document Research
Location
New York
Business Area
Data
Ref #
10051510
Description & Requirements
  1. 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!
Salary Range = 135,000 - 230,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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