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Senior Machine Learning Engineer Jobs in New York

Harnham

Senior Machine Learning Engineer

Manhattan, NY · Remote

$100 - $120/hr

Senior Machine Learning Engineer Harnham, the leading recruitment specialist in Data and AI is currently partnering with a leading Data & Analytics firm in the US who are seeking multiple Machine ...

Button

Senior Machine Learning Engineer

Manhattan, NY

$153K - $198K/yr

Senior Machine Learning Engineer Button's mission is to empower the companies shaping the creator and affiliate economy - fueling mobile growth with innovation and new paths to monetization. Today ...

PROPRIUS

Senior Machine Learning Engineer

New York, NY

$114K - $157K/yr

Sr. Machine Learning Engineer Location: New York, NY Sponsorship: Yes Relocation: Yes Industry: Machine Learning A leading provider of AI is looking for a Sr. ML Engineer. Our client is an industry ...

DraftKings

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll join a team of algorithm experts and data science technologists building innovative data products that solve analytically complex ...

Autodesk

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

Position Overview As a Senior Machine Learning Engineer, you will play a key role in designing, developing, and evolving machine learning systems that support conversational AI, search, multi-agent ...

SageSure

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$114K - $157K/yr

SageSure is a leader in catastrophe-exposed property insurance, seeking a Senior Machine Learning Engineer to optimize orchestration processes and ensure efficient model deployment. The role involves ...

Geico

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Senior Machine Learning Engineer, AI Research About the Role GEICO is redefining the insurance landscape throughcutting-edgeArtificial Intelligence, and the AI Research team is driving this ...

GEICO

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Senior Machine Learning Engineer, AI Research About the Role GEICO is redefining the insurance landscape throughcutting-edgeArtificial Intelligence, and the AI Research team is driving this ...

SageSure

Senior Machine Learning Engineer

Jersey City, NJ

$127K - $168K/yr

As a Senior Machine Learning Engineer, you'll play a crucial role in optimizing orchestration processes and ensuring fast and efficient model deployment and delivery. You'll work closely with ...

Chasm Select

Senior Machine Learning Engineer

Manhattan, NY · On-site +1

$150K - $180K/yr

Description ChasmTeam Senior Machine Learning Engineer at JudiHealth Location: Remote (For Non-Local) or Hybrid (Local to NYC area) Position Summary: Join our mission to infuse cutting-edge AI/ML ...

Attentive

Senior Machine Learning Engineer

New York, NY · On-site

$244K - $320K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

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Senior Machine Learning Engineer information

See New York salary details

$65.1K

$138.5K

$200.8K

How much do senior machine learning engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for senior machine learning engineer in New York is $138,458.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $157,000.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in New York? The most popular types of Machine Learning Engineer jobs in New York are:
What are popular job titles related to Senior Machine Learning Engineer jobs in New York? For Senior Machine Learning Engineer jobs in New York, the most frequently searched job titles are:
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What cities in New York are hiring for Senior Machine Learning Engineer jobs? Cities in New York with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Harnham

Manhattan, NY • Remote

$100 - $120/hr

Other

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

Senior Machine Learning Engineer
Harnham, the leading recruitment specialist in Data and AI is currently partnering with a leading Data & Analytics firm in the US who are seeking multiple Machine Learning Engineers to join their team to support multiple client builds & integrations.
  • Role - Senior Machine Learning Engineer
  • Location - Remote in US (EST Hours)
  • Pay - $100 - $120 per hour
  • Length: Extendable 6 months initial contract
  • Utilization: 40 hr/week
  • Benefits:W2 employees are eligible to health, dental, vision, 401k benefits.
As Senior Machine Learning Engineer you will be building production pipelines to feed AI systems that support some of the largest Ecom businesses in the world. You will deploying RAG systems with LLM powered features in AWS environments
Requirements:
  • Strong demonstrable experience in ML Engineering with strong Data background
  • 0-1, Build & Deploy experience for AI applications using Large Language Models
  • Sagemaker & Bedrock experience (as well as the broader AWS stack)
  • AI Coding experience (eg. Claude Code)

This is an excellent opportunity for ML Engineer working on the bleeding edge of AI Adoption & deployment to work at a major Ecom data provider and to develop & deploy AI at some of the largest online retailers with global presence.
If interested, please apply or contact Ciarán

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