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Machine Learning Analyst Jobs (NOW HIRING)

AvePoint

Senior Machine Learning Analyst

Jersey City, NJ · On-site

$190K - $220K/yr

We are seeking an analytical and innovative Senior Machine Learning Analyst to join our Data & AI team. You will play a key role in developing and deploying advanced machine learning models to solve ...

AvePoint

Senior Machine Learning Analyst

Jersey City, NJ · On-site

$190K - $220K/yr

We are seeking an analytical and innovative Senior Machine Learning Analyst to join our Data & AI team. You will play a key role in developing and deploying advanced machine learning models to solve ...

Stefanini

Machine Learning Engineer

Allen Park, MI · On-site

Key ResponsibilitiesUnderstand business requirements and analyze datasets to determine suitable ... J2EE, Logistics, Python, Machine Learning Skills Preferred:AIPGEE, Advance data Migration, API ...

Adobe

Machine Learning Engineer

San Jose, CA

Strong analytical and quantitative problem-solving ability , comfortable with ambiguity and capable of driving toward a solution independently * Excellent communication skills, able to convey ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

Strong analytical and quantitative problem-solving ability , comfortable with ambiguity and capable of driving toward a solution independently * Excellent communication skills, able to convey ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... analyze, support, and implement machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark framework Develop novel solutions using knowledge of the latest artificial ...

Compunnel

Machine Learning Engineer

Plano, TX · On-site

Design, develop, and maintain machine learning solutions that support advanced analytics and predictive modeling initiatives. * Build and optimize ML-ready data pipelines and data architectures using ...

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 ...

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 ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) * Implement ...

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Machine Learning Analyst information

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$31K

$73.3K

$130K

How much do machine learning analyst jobs pay per year?

As of Jun 29, 2026, the average yearly pay for machine learning analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Analyst, you need strong analytical skills, a solid grasp of statistics and programming languages such as Python or R, and typically a degree in computer science, mathematics, or a related field. Experience with machine learning frameworks like TensorFlow or scikit-learn, data visualization tools such as Tableau, and relevant certifications (e.g., Google Data Analytics) are often expected. Excellent problem-solving, collaboration, and communication abilities help you explain complex results and work effectively with cross-functional teams. Together, these skills ensure you can accurately interpret data, build robust models, and present actionable insights that drive organizational growth.

What is a Machine Learning Analyst job?

A Machine Learning Analyst is responsible for analyzing data, building models, and extracting insights using machine learning techniques. They work with large datasets, clean and preprocess data, and apply statistical methods to drive business decisions. Their role often involves collaborating with data scientists, engineers, and business teams to optimize predictive models. Strong programming skills in Python or R, knowledge of machine learning frameworks, and experience with data visualization are essential for this role.

What are typical projects or tasks a Machine Learning Analyst handles on a daily basis?

Machine Learning Analysts commonly work on tasks such as collecting, cleaning, and analyzing large datasets, developing predictive models, and interpreting results to generate actionable business insights. They may also collaborate closely with data engineers, software developers, and business stakeholders to translate business problems into data-driven solutions. Regular responsibilities include preparing data visualizations, running experiments to improve model performance, and documenting their findings for non-technical audiences. This hands-on work in a team-oriented environment ensures that their analyses directly contribute to key business decisions and continuous improvement.

More about Machine Learning Analyst jobs
What cities are hiring for Machine Learning Analyst jobs? Cities with the most Machine Learning Analyst job openings:
What states have the most Machine Learning Analyst jobs? States with the most job openings for Machine Learning Analyst jobs include:
What job categories do people searching Machine Learning Analyst jobs look for? The top searched job categories for Machine Learning Analyst jobs are:
Machine Learning Analyst jobs near you
Infographic showing various Machine Learning Analyst job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, 15% Part Time, and 8% Temporary. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.
Senior Machine Learning Analyst

Senior Machine Learning Analyst

AvePoint

Jersey City, NJ • On-site

$190K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Key responsibilities

  • Design, build, and deploy machine learning models leveraging structured and unstructured data to align with SaaS product strategy.

  • Architect and integrate AI components into the existing SaaS infrastructure, ensuring scalability, reliability, and optimal performance.

  • Design data pipelines and storage solutions for handling large volumes of data required for AI models while ensuring data security, privacy, and compliance.

Job description

About AvePoint:
Beyond Secure. AvePoint is the global leader in data security, governance, and resilience, going beyond traditional solutions to ensure a robust data foundation and enable organizations everywhere to collaborate with confidence. Over 25,000 customers worldwide rely on the AvePoint Confidence Platform to prepare, secure, and optimize their critical data across Microsoft, Google, Salesforce, and other collaboration environments. AvePoint's global channel partner program includes approximately 5,000 managed service providers, value-added resellers, and systems integrators, with our solutions available in more than 100 cloud marketplaces. To learn more, visit www.avepoint.com.
At AvePoint, we are committed to investing in our people. Agility, passion and teamwork set us up to do our best work and foster a culture where you are empowered to craft your career, make an impact, and own (y)our future. Unleash the power of you!
About the role:
We are seeking an analytical and innovative Senior Machine Learning Analyst to join our Data & AI team. You will play a key role in developing and deploying advanced machine learning models to solve real-world business challenges. Your efforts will help optimize data pipelines, extract actionable insights, and shape the future of intelligent solutions at AvePoint.
Key responsibilities:
  • Solution Design: Design, build, and deploy machine learning models leveraging structured and unstructured data that align with the overall SaaS product strategy. Collaborate with stakeholders to understand business requirements and translate them into AI-based functionalities. Drive holistic end-to-end AI architecture from data pipeline to LLM to platform components to application integration.
  • System Integration: Architect the integration of AI components into the existing SaaS infrastructure, ensuring scalability, reliability, and optimal performance. Collaborate with development teams to implement these integrations effectively.
  • Data Management: Design data pipelines and storage solutions for handling large volumes of data required for AI models. Ensure data security, privacy, and compliance with relevant regulations.
  • Scalability and Performance Optimization: Architect solutions that can scale horizontally to handle growing user bases. Create and optimize AI algorithms and workflows for speed, efficiency, and resource utilization.
  • Security and Compliance: Implement security measures to safeguard AI models and data. Ensure compliance with relevant industry standards and regulations. Develop guidance for the use of AI in product and internal tooling.
  • Execution & Adoption Ownership: Proactively identify and remove barriers to execution across data, engineering, and product workflows to ensure timely delivery of AI solutions. Serve as a steward of adoption by partnering with product, engineering, and go-to-market teams to ensure solutions are usable, measurable, and successfully adopted by end users and customers.

The ideal candidate has:
  • 5+ years of experience working as an engineer or architect with a focus on one or more of the following: machine learning, data science or natural language processing
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
  • Preferably worked on enriching SaaS products with AI/ML functionalities
  • Strong proficiency in AI technologies, machine learning, and deep learning frameworks.
  • Previous experience determining measurable, revenue generating or business solving outcomes and showing how AI can drive these.
  • Strategic thinking skills including the ability to lead and resolve company-wide technical discussions. Excellence at creating clarity and alignment for technical initiatives, in close partnership with our product management team.
  • Great ability to build trust through collaboration with multiple teams, articulate a vision, build consensus, and get hands-on to drive implementation.

Benefits We Offer
  • Competitive market-based compensation (salary, yearly bonus + equity).
  • Career progression and internal mobility opportunities.
  • Work-life balance through a hybrid working model.
  • Unlimited PTO.

This role offers the opportunity to work at the intersection of machine learning innovation and industry impact, contributing to AvePoint's vision for secure, intelligent, and data-driven workplaces.
If you are passionate about transforming data into actionable solutions and want to be part of a global tech leader, we want to hear from you!
The Salary Range for this role is $190,000 - $220,000. At AvePoint, we strive to offer competitive, fair, and equitable total rewards. The listed salary range represents a good faith estimate, with final offers based on location, experience, skills, and qualifications. The listed range reflects base salary only; our total rewards include base salary, comprehensive benefits (medical, dental, vision, 401(k) with match, unlimited PTO), and depending on the role, bonuses, commissions, or equity (RSUs). We welcome compensation discussions-apply even if your expectations fall outside the range.
Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.

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