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Business Analyst Machine Learning Jobs (NOW HIRING)

Ferroglobe

Business Data Analyst

Marietta, OH · On-site

Apply statistical and machine learning techniques to build predictive models and conduct exploratory analysis to identify patterns, detect anomalies, and uncover insights that support business ...

UVeye

Business Analyst

Teaneck, NJ · On-site

$80K - $110K/yr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... We're looking for a strategic and analytical Business Analyst to join our Rental Business Unit ...

UVeye

Business Analyst

Teaneck, NJ · On-site

$80K - $110K/yr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... We're looking for a strategic and analytical Business Analyst to join our Rental Business Unit ...

Ferroglobe

Business Data Analyst

Charlotte, NC · Remote

Apply statistical and machine learning techniques to build predictive models and conduct exploratory analysis to identify patterns, detect anomalies, and uncover insights that support business ...

Givzey

Machine Learning Engineer

... business forward. Responsibilities: * Design, develop, and implement machine learning models and algorithms * Analyze large datasets and extract meaningful insights * Collaborate with cross ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

... business problems. We're seeking an outstanding ML Engineer to join our data team and help build ... analytics. Responsibilities: * Build and deploy the ML pipelines that power PatternAI's machine ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site

... business problems. We're seeking an outstanding ML Engineer to join our data team and help build ... analytics. Responsibilities: * Build and deploy the ML pipelines that power PatternAI's machine ...

Artech

AI/ML Business Analyst

Naperville, IL · On-site

$40 - $45/hr

We are seeking a highly experienced AI-focused Business Analyst to drive the identification| analysis| and implementation of Artificial Intelligence and Machine Learning solutions across the ...

New

Nanite Inc.

Machine Learning Engineer

Boston, MA

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Collaborate with chemistry and biology research teams to design data pipelines, analyze ...

Booz Allen Hamilton

Machine Learning Engineer

Mclean, VA · On-site

$77K - $176K/yr

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that ... Your ability to conduct statistical analyses on business processes using ML techniques makes you an ...

Booz Allen Hamilton

Machine Learning Engineer

Mclean, VA · On-site

$77K - $176K/yr

Your ability to conduct statistical analyses on business processes using ML techniques makes you an ... As a machine learning engineer on our defense technology team, you'll train, test, deploy, and ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

Analyze large datasets to identify trends and patterns, and use this information to inform model ... and business strategies. * Algorithm Optimization: Continuously test and refine algorithms to ...

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Collaborate with chemistry and biology research teams to design data pipelines, analyze ...

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All JobsBusiness Analyst Machine Learning Jobs

Business Analyst Machine Learning information

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How much do business analyst machine learning jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for business analyst machine learning in the United States is $38.63, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $48.32 per hour, depending on experience, location, and employer.

Do business analysts use machine learning?

Business analysts increasingly use machine learning techniques to analyze large datasets, identify patterns, and support data-driven decision-making. Familiarity with tools like Python, R, or specialized analytics platforms is often beneficial for integrating machine learning into their workflows.

How much do machine learning business analysts make?

Machine learning business analysts typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data analysis, programming, and tools like Python or R tend to have higher salaries.

How does a Business Analyst specializing in Machine Learning typically collaborate with data scientists and engineering teams?

Business Analysts in Machine Learning frequently act as a bridge between business stakeholders and technical teams. They work closely with data scientists to translate business requirements into data-driven solutions and help define project goals, KPIs, and success metrics. Collaborating with engineering teams, they ensure that data pipelines and machine learning models are implemented according to specifications and that business objectives are met. This role often involves facilitating communication, managing expectations, and ensuring alignment across multidisciplinary teams.

Which 3 jobs will survive AI?

Business analysts specializing in machine learning will continue to be in demand as they interpret data insights and develop models that require human judgment. Roles that involve complex problem-solving, strategic decision-making, and understanding of domain-specific knowledge are less likely to be fully automated. Skills in data analysis, critical thinking, and communication will remain valuable in AI-related fields.

What are the key skills and qualifications needed to thrive as a Business Analyst in Machine Learning, and why are they important?

To thrive as a Business Analyst in Machine Learning, you need a solid understanding of data analysis, statistics, and business processes, often supported by a degree in business, statistics, or computer science. Familiarity with tools such as Python, SQL, data visualization platforms, and machine learning frameworks is highly valued, along with certifications like CBAP or data analytics credentials. Strong communication, problem-solving, and stakeholder management skills help you bridge the gap between technical teams and business objectives. These skills are crucial for translating complex data insights into actionable business strategies that drive value.

What is a $900000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers or AI directors, which can command such salaries due to their expertise, experience, and leadership responsibilities. These positions often require advanced skills in data science, machine learning frameworks, and strong business acumen, and may involve managing large teams or strategic AI initiatives.

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

AspectBusiness Analyst Machine LearningData Analyst
Required CredentialsBachelor's in Business, Data Science, or related; knowledge of ML toolsBachelor's in Statistics, Mathematics, or related; proficiency in data visualization
Work EnvironmentCollaborates with data scientists and ML engineers in tech or finance sectorsWorks with data sets to generate reports in various industries
Employer & Industry UsageTech companies, finance, e-commerceRetail, healthcare, marketing
Search & Comparison IntentUnderstanding roles involving ML and analytics in businessAnalyzing data for insights and reporting

The main difference is that Business Analyst Machine Learning focuses on applying machine learning techniques to solve business problems, often requiring knowledge of ML tools and algorithms. Data Analysts primarily analyze data sets to generate reports and insights without necessarily implementing ML models. Both roles involve data interpretation but differ in technical complexity and scope.

What are Business Analyst Machine Learning roles?

Business Analyst Machine Learning roles involve bridging the gap between business objectives and machine learning solutions. Professionals in this position analyze data, identify business problems, and collaborate with data scientists to design and implement machine learning models that drive informed decision-making. They often translate business needs into technical requirements, evaluate the impact of ML initiatives, and communicate findings to stakeholders. These roles require a mix of analytical, technical, and communication skills.
Machine Learning Engineer

Machine Learning Engineer

Dark Wolf Solutions

Chantilly, VA

Full-time

Posted 20 days ago

Job description

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We're proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission's biggest challenges.

Dark Wolf is seeking a highly motivated and self-directed professional to fill the role of Machine Learning (ML) Engineer to support our team in Northern Virginia.

Responsibilities:

  • Design, develop, and implement machine learning models and algorithms to solve specific business problems.
  • Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.
  • Transform machine learning models into deployable APIs and integrate them with existing applications and infrastructure.
  • Collaborate closely with data scientists, software engineers, and product managers to understand requirements and translate them into practical ML solutions.
  • Experiment with different machine learning techniques and algorithms to identify the most effective approaches for given problems.
  • Evaluate model performance using appropriate metrics and iterate on models to improve accuracy, efficiency, and scalability.
  • Monitor and maintain deployed models, ensuring their reliability and performance in production environments.
  • Troubleshoot and resolve issues related to machine learning models and pipelines.
  • Stay up-to-date with the latest advancements in machine learning, deep learning, and related fields.
  • Contribute to the development of best practices and standards for machine learning development and deployment within the team.
  • Document machine learning models, experiments, and deployment processes.
  • Potentially work with large datasets and big data technologies.
  • Optimize machine learning models for performance and efficiency.

Qualifications:

  • Master's in computer science, Machine Learning, or higher level degree is preferred with of 3+ years of related industry experience in Machine Learning, Computer Science, Data Science or related fields.
  • Demonstrated hands-on experience in developing and deploying machine learning models in a production environment.
  • Strong programming skills in Python and experience with relevant machine learning libraries and frameworks such as TensorFlow, Keras, PyTorch, scikit-learn, etc.
  • Solid understanding of machine learning algorithms (e.g., regression, classification, clusting, dimensionality reduction, deep learning architectures).
  • Experience with data preprocessing, feature engineering, and data visualization techniques.
  • Familiarity with data storage and processing technologies (e.g., SQL, NoSQL databases, Spark, Hadoop).
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and their machine learning services.
  • Understanding of software development principles, version control (e.g., Git), and CI/CD pipelines.
  • Strong analytical and problem-solving skills with the ability to interpret data and draw meaningful conclusions.
  • Excellent communication and collaboration skills to effectively communicate technical concepts to both technical and non-technical audiences.

Preferred Skills:

  • Experience with specific areas of machine learning such as Natural Language Processing (NLP), Computer Vision, or Recommender Systems.
  • Experience with MLOps practices and tools for automating and monitoring machine learning workflows.
  • Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
  • Experience with building and deploying RESTful APIs.
  • Familiarity with big data technologies and distributed computing.
  • Experience with statistical modeling and inference.

Position Clearance Requirement:

TS/SCI with Full-Scope Polygraph

This position is located in Chantilly/Herndon, VA.

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.