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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 29, 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 64% As Needed, 35% Full Time, and 1% Part Time. Highlights an 79% Physical, 10% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Web Application Architect 1- Machine Learning

Bloomberg Industry Group

Arlington, VA

$110K - $140K/yr

Full-time

Posted 8 days ago

Job description

A Machine Learning Engineer who will innovate and deliver valuable AI and ML solutions as part of ML team. Responsible for development, integration, delivery, and support of ML solutions, this individual must be a self-directed professional. In addition to a strong foundation of ML and AI knowledge they must possess excellent communication skills with a demonstrated ability to collaborate across teams.

What you will do:

  • Implement machine learning based solutions to address business challenges, adhering to INDG best practices with integration of AWS services.
  • Collaborate with cross-functional teams to gather requirements, propose technical solutions, and shape project architecture with cloud infrastructure considerations.
  • Architect and implement scalable, high-performance machine learning pipelines and infrastructure utilizing AWS and DevOps practices.
  • Build enterprise applications at-scale using expertise in computer science fundamentals.
  • Use metrics to make data-driven decisions.
  • Diagnose and fix production issues.
  • Write and maintain production-quality code.
  • Participate in special projects and perform other duties as assigned.

You need to have:

  • Bachelor's degree in mathematics, Statistics, Computer Science, or a related STEM field or Bachelor's degree in any subject with a Master's degree or higher in a STEM field required.

  • 1+ years of software development experience and/or commensurate skills building commercial and ML applications.
  • 1+ years' experience and/or commensurate skills with an object-oriented programming language such as Java or Python, ML/AI frameworks, libraries, data structures and data modeling techniques
  • Knowledge of professional software engineering practices and the full software development life cycle, including coding standards, architecture/design patterns, code reviews, source control management, build processes, testing, and operations.

Compensation Range:

$110,000.00-$140,000.00

Placement in the salary range will be decided upon completion of the interview process. Salary determination will be determined based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location.


Equal Opportunity


Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group's policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to 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 maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law ("Protected Characteristic"). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics ("Discrimination").

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