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Machine Learning Consultant Jobs in New York (NOW HIRING)

Crowe LLP

Machine Learning Engineer

New York, NY

$62K - $100K/yr

Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That's why we continuously invest in innovative ...

New

Crowe LLP

Machine Learning Engineer

Livingston, NJ

$62K - $100K/yr

Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That's why we continuously invest in innovative ...

New

Crowe LLP

Machine Learning Intern

Livingston, NJ

$27 - $42/hr

Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That's why we continuously invest in innovative ...

New

Crowe LLP

Machine Learning Intern

New York, NY

$27 - $42/hr

Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That's why we continuously invest in innovative ...

New

Crowe LLP

Machine Learning Intern

Livingston, NJ

$27 - $42/hr

Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That's why we continuously invest in innovative ...

New

Crowe LLP

Machine Learning Intern

New York, NY

$27 - $42/hr

Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That's why we continuously invest in innovative ...

New

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Machine Learning Consultant information

Is machine learning a high paying job?

Machine learning consultants typically earn high salaries due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and industry, but the role is generally considered well-compensated within the tech field.

What does a machine learning consultant do?

A Machine Learning Consultant helps businesses implement AI and machine learning solutions to improve decision-making, automate processes, and enhance efficiency. They analyze data, develop models, and provide strategic recommendations tailored to a company's needs. Their role often involves working with engineers, data scientists, and stakeholders to integrate machine learning into existing systems.

What are the key skills and qualifications needed to thrive as a machine learning consultant?

To thrive as a Machine Learning Consultant, you need strong expertise in machine learning algorithms, data analysis, and programming skills—typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud platforms, as well as relevant certifications like AWS Certified Machine Learning or TensorFlow Developer, are highly beneficial. Excellent communication, problem-solving, and project management skills help consultants translate complex technical concepts for clients and efficiently drive projects. These skills and qualities are crucial for delivering effective machine learning solutions that address business needs and foster client trust.

How much does a machine learning consultant make?

The average salary for a machine learning consultant ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Senior consultants with specialized skills in programming languages like Python and tools such as TensorFlow can earn higher salaries, especially in competitive markets.

What does a typical project look like for a machine learning consultant?

As a Machine Learning Consultant, your projects often begin with collaborating closely with clients to understand their data challenges and business goals. You might be tasked with activities such as setting up data pipelines, selecting and training machine learning models, and presenting actionable insights. Projects can vary in length and scope, ranging from short-term advisory engagements to long-term implementations, and often involve teamwork with data engineers, business analysts, and IT departments. This dynamic environment means you need to balance hands-on technical work with client-facing responsibilities, ensuring successful delivery and measurable impact.

What are the most commonly searched types of Machine Learning Consultant jobs in New York?

The most popular types of Machine Learning Consultant jobs in New York are:

What are popular job titles related to Machine Learning Consultant jobs in New York?

For Machine Learning Consultant jobs in New York, the most frequently searched job titles are:

What job categories do people searching Machine Learning Consultant jobs in New York look for?

The top searched job categories for Machine Learning Consultant jobs in New York are:

What cities in New York are hiring for Machine Learning Consultant jobs?

Cities in New York with the most Machine Learning Consultant job openings:

Machine Learning Consultant jobs near you
Infographic showing various Machine Learning Consultant job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Senior Agentic AI / Machine Learning Consultant

Vertical Relevance

Manhattan, NY • On-site

Full-time

Re-posted 21 days ago

Job description


Vertical Relevance is seeking an Agentic AI/ Machine Learning Consultant to join our team. In this role, you will be responsible for the end-to-end design, development, and deployment of advanced ML/AI solutions. You’ll work closely with clients to deliver impactful outcomes, leveraging Cloud services and cutting-edge technologies in the NY Metro Area.
As an Agentic AI/Machine Learning Consultant, you will collaborate with cross-functional teams to implement technical solutions that solve complex business challenges. This position requires strong technical expertise, excellent communication skills, and a passion for driving customer success.
At Vertical Relevance, we believe in teamwork, automation, continuous learning, and ownership. If you’re ready to innovate and make a measurable impact, we’d love to hear from you!
Key Responsibilities 
  • Experience delivering end-to-end ML/AI solutions from problem framing through deployment and monitoring from a consultant perspective. 
  • Design scalable AI/ML architectures using AWS, Azure, and GCP services.
  • Optimize RAG pipelines including chunking, embeddings, hybrid search, and re-ranking. 
  • Develop retrieval evaluation frameworks (Recall@K, Precision@K, MRR, nDCG).
  • Design and implement knowledge graphs and ontologies.
  • Build data ingestion pipelines for structured and unstructured data.
  • Deploy solutions using AWS tools such as SageMaker, Bedrock, Lambda, and OpenSearch. 
  • Implement self-hosted embedding models in secure environments.
  • Ensure compliance with PHI/PII data security requirements.
  • Collaborate with cross-functional teams and act as a technical advisor.
  • Mentor team members and contribute to technical thought leadership.
Required Qualifications 
  • 10+ Experience building and deploying ML/AI solutions in AWS, GCP, or Azure.
  • Strong expertise in RAG systems and retrieval optimization.
  • Experience with vector databases and hybrid search techniques.
  • Knowledge of knowledge graph design and entity resolution.
  • Expert in Python and R.
  • Experience with LLM platforms such as OpenAI, Anthropic, or Gemini.
  • Strong communication and client-facing skills working with Clients. 
  • Linkedin Profile with Picture.
  • ID might be requested for technical interviews and tests. 
Preferred Qualifications 
  • Experience with Amazon Neptune or other graph databases a must.
  • Familiarity with information retrieval metrics.
  • Experience with self-hosted embeddings.
  • Healthcare domain knowledge (payer/claims).
  • Experience with agentic AI frameworks such as LangGraph or MCP.
About Vertical Relevance

Vertical Relevance was founded to help business leaders drive value through the design and delivery of effective transformation programs across people, processes, and systems. Our mission is to help firms at any stage of their journey develop custom solutions for success and growth. We provide a full range of services from strategy and design through to implementation and training. Our collective industry expertise is our greatest asset - our professionals have an average of 20+ years’ experience within Financial Services, across Wealth Management, Asset Management, Insurance, and Banking. Within our Customer Experience practice, we add complementary industry expertise (technology and media) synergizing the most relevant and successful customer trends. We focus wholly on your success by first rigorously assessing your business and technology challenges, and then right-sizing solutions that provide a meaningful ROI. With our industry experts hitting the ground running and focusing on nimble, quality delivery, we can see rapid, tangible improvements with our clients in productivity and effectiveness. When it makes sense for your company, we leverage our product partnerships in the areas of CRM, Sales Acceleration, Predictive Analytics, Digital Knowledge Management, and Cloud Transformation. 

Vertical Relevance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. 


 

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