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Ml Analyst Jobs (NOW HIRING)

TechniPros, LLC

Data Scientist (AI/ML)

Chantilly, VA · On-site

Perform data collection, analysis, and reporting to improve transparency and explainability of AI/ML systems. Support development, scaling, validation, and evaluation of machine learning models ...

Timken

Principal AI Analyst

North Canton, OH · On-site

We are hiring a Principal AI/ML Analyst & Developer to design, build, and deploy scalable AI, data, and applications across the enterprise. You will work end-to-end (data ingestion modeling API/UI ...

Commonfund

AI/ML Development Analyst

Norwalk, CT · On-site

$100K - $150K/yr

Job Title AI/ML Development Analyst Job Summary Commonfund is seeking a highly motivated AI/ML Development Analyst to design, develop, and deploy advanced artificial intelligence and machine learning ...

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How much do ml analyst jobs pay per year?

As of Jul 9, 2026, the average yearly pay for ml 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation tools can handle certain tasks, MLEs are essential for creating complex models, optimizing algorithms, and ensuring system reliability. AI is a tool that complements their work rather than replacing the role entirely, and ongoing skills in programming, data analysis, and model deployment remain important for MLEs.

Is ML a high paying job?

Machine Learning (ML) analysts typically earn above-average salaries compared to many other tech roles, with compensation influenced by experience, education, and location. Skilled ML analysts with proficiency in programming languages like Python and experience with tools such as TensorFlow often command higher pay. Certifications and advanced degrees can also enhance earning potential.

Can I learn ML in 3 months?

Learning machine learning (ML) as an ML analyst involves understanding algorithms, data analysis, and programming skills, typically requiring several months of dedicated study. While basic concepts can be grasped in three months with intensive effort, developing proficiency for a professional role usually takes longer, especially when working with tools like Python, R, and ML frameworks. Consistent practice, coursework, and real-world projects are essential for building the necessary expertise.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning (ML) analyst, data scientist, or AI engineer, often requiring advanced skills in programming, data analysis, and machine learning frameworks. Such roles usually involve leadership responsibilities, complex problem-solving, and may require certifications or extensive experience, with compensation reflecting the expertise and impact on business outcomes.
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Ml Analyst jobs near you
Infographic showing various Ml Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.
Data Scientist (AI/ML)

Data Scientist (AI/ML)

TechniPros, LLC

Chantilly, VA • On-site

Other

Posted 7 days ago

Job description

Job Title: Data Scientist (AI/ML)
Location: Chantilly, VA/Rockville, MD/Dover, DE/Columbus, OH/Princeton,NJ
Looking for W2 candidates. No C2C

Key Responsibilities

Provide technical expertise supporting AI/ML software acquisition programs.
Perform data collection, analysis, and reporting to improve transparency and explainability of AI/ML systems.
Support development, scaling, validation, and evaluation of machine learning models.
Assist Government customers in managing AI/ML analytics programs and initiatives.
Evaluate software architectures and provide recommendations for future cloud-based systems.

Required Technical Skills

  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Data Science
  • Software Architecture
  • Systems Engineering
  • Cloud Computing Architecture
  • Model Evaluation & Validation
  • Responsible AI
  • Training Dataset Generation
  • Ontologies
  • Computer Vision
  • AI/ML Analytics
  • Data Analysis
  • Technical Documentation
  • Technical Roadmaps
  • Acquisition Strategy Support
  • Agile Methodologies
  • Scrum
  • SAFe
  • Agile Metrics
  • Risk Analysis
  • Software Development Lifecycle (SDLC)
  • Microsoft Office Suite

Soft Skills

  • Excellent analytical and problem-solving abilities
  • Strong critical thinking skills
  • High level of initiative and ownership
  • Excellent written and verbal communication skills
  • Ability to work effectively in high-tempo environments
  • Strong collaboration and teamwork skills
  • Ability to communicate technical concepts to Government stakeholders

Preferred Skills

  • Computer Vision
  • Mission-focused AI/ML analytics
  • Technical roadmap development
  • Government acquisition support
  • Cloud-native software architectures
  • Explainable AI (XAI)
  • AI governance and responsible AI frameworks

Best Regards:

Lucy Rose
Phone:
Email:

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