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Business Analyst Machine Learning Jobs (NOW HIRING)

HeyMilo AI

Machine Learning Engineer

Manhattan, NY

... understand business requirements and develop solutions that meet our clients' needs. Key ... analysis to evaluate model performance and identify areas for improvement - Keep up-to-date with ...

Aivra Health LLC

$28 - $45/hr

... business problems. Key Responsibilities * Assist in building and training machine learning and deep learning models * Perform data preprocessing, feature engineering, and exploratory data analysis ...

Full Scope

Machine Learning Engineer

Reston, VA

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly ... business requirements and translate them into technical solutions. * Conduct data analysis and ...

Aivra Health LLC

$28 - $45/hr

... business problems. Key Responsibilities * Assist in building and training machine learning and deep learning models * Perform data preprocessing, feature engineering, and exploratory data analysis ...

Aivra Health LLC

$28 - $45/hr

... business problems. Key Responsibilities * Assist in building and training machine learning and deep learning models * Perform data preprocessing, feature engineering, and exploratory data analysis ...

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 ...

LeanData

Machine Learning Engineer

Santa Clara, CA

Machine Learning Engineer LeanData helps the world's fastest-growing companies automate, simplify ... Ability to analyze complex datasets, identify patterns, and translate findings into 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 ...

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

... 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 ...

Ferroglobe

Business Data Analyst

Marietta, OH · On-site

$95K - $110K/yr

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 ...

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Business Analyst Machine Learning information

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

As of Jun 9, 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.

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.

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 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.
Infographic showing various Business Analyst Machine Learning job openings in the United States as of June 2026, with employment types broken down into 5% Internship, 68% Full Time, 11% Part Time, and 16% Contract. Highlights an 63% In-person, 11% Hybrid, and 26% Remote job distribution, with an average salary of $80,350 per year, or $38.6 per hour.

Machine Learning Engineer

HeyMilo AI

Manhattan, NY

Other

Posted 15 days ago

Job description

About the job Machine Learning Engineer
Job Title: Machine Learning Engineer
Company: HeyMilo AI
Location: New York, NY, USA
Contract Details: Full-time
HeyMilo AI is a fast-growing startup based in New York City that specializes in developing cutting-edge artificial intelligence solutions for various industries. We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team.
As a Machine Learning Engineer at HeyMilo AI, you will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex business problems. You will work closely with our data scientists, software engineers, and product managers to understand business requirements and develop solutions that meet our clients' needs.
Key Responsibilities:
- Design and implement machine learning models and algorithms to solve business problems
- Collaborate with data scientists to gather and preprocess data for model training and evaluation
- Develop and maintain data pipelines and infrastructure for efficient data processing and model deployment
- Conduct experiments and perform data analysis to evaluate model performance and identify areas for improvement
- Keep up-to-date with the latest advancements in machine learning and apply them to improve our products and services
- Work closely with cross-functional teams to integrate machine learning solutions into our products and services
- Communicate complex technical concepts to non-technical stakeholders and provide support and guidance to other team members
Qualifications:
- Bachelor's or Master's degree in Computer Science, Mathematics, or a related field
- Minimum of 3 years of experience in developing machine learning models and algorithms
- Strong programming skills in Python, and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
- Experience with software engineering best practices, including version control, testing, and code review
- Solid understanding of machine learning concepts and techniques, such as supervised and unsupervised learning, deep learning, and reinforcement learning
- Experience with data preprocessing and feature engineering techniques
- Strong problem-solving skills and ability to think creatively to come up with innovative solutions
- Excellent communication and teamwork skills
- Experience with cloud computing platforms, such as AWS or Google Cloud, is a plus
- Experience with natural language processing (NLP) and computer vision is a plus
At HeyMilo AI, we value diversity and inclusivity and are committed to creating a positive and collaborative work environment. We offer competitive salaries, comprehensive benefits, and opportunities for growth and development.
If you are passionate about using machine learning to solve real-world problems and want to be a part of a dynamic and innovative team, we want to hear from you! Apply now to join our team as a Machine Learning Engineer and help us shape the future of AI.

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