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Machine Learning Engineer Jobs in Norwalk, CT (NOW HIRING)

Mercor

Machine Learning Engineer

New York, NY · Remote

$27 - $32/hr

Guide research and engineering teams to close knowledge gaps in data science , AI , and machine learning domains. Surface nuances that distinguish expert-level work from surface-level reasoning.

Kitware

Machine Learning Engineer

New York, NY · On-site

$85K - $125K/yr

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

Virtu Financial

Machine Learning Engineer

New York, NY · On-site

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our ...

Virtu Financial

Machine Learning Engineer

New York, NY

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our ...

PROPRIUS

Senior Machine Learning Engineer

New York, NY · On-site

$114.30K - $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 ...

Tagup

Machine Learning Engineer

New York, NY

$125K - $165K/yr

We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next generation of AI-driven defense and aviation systems. In this role, you'll go beyond building models ...

DraftKings, Inc.

Senior Machine Learning Engineer

New York, NY · On-site

$114.30K - $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 ...

DraftKings

Senior Machine Learning Engineer

New York, NY

$114.30K - $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 ...

Attentive

Senior Machine Learning Engineer

New York, NY

$244K - $320K/yr

About the Role Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will ...

Capgemini

Machine Learning Engineer

New York, NY · On-site

... machine learning. * Proficiency in AWS services, including Amazon SageMaker and Amazon Bedrock. * Strong programming skills in Python, Java, or other relevant languages. * Familiarity with cloud ...

WITHIN

Machine Learning Engineer

New York, NY · Hybrid

$90.90K - $254.10K/yr

We are in search of an exceptional Machine Learning Engineer to join our accomplished team. In this role, you will take the lead in developing and fine-tuning predictive ML models, with a primary ...

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Machine Learning Engineer information

See Norwalk, CT salary details

$31.7K

$129.5K

$194.6K

How much do machine learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning engineer in Norwalk, CT is $129,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $155,900.00 per year, depending on experience, location, and employer.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Norwalk, CT? The most popular types of Machine Learning Engineer jobs in Norwalk, CT are:
What cities near Norwalk, CT are hiring for Machine Learning Engineer jobs? Cities near Norwalk, CT with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you

Machine Learning Engineer

Mercor

New York, NY • Remote

$27 - $32/hr

Full-time

Posted 15 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Expert Professionals — AI & Data Science — IN
Type: Contract
Compensation: $27–$32/hour
Location: Remote
Commitment: 40 hours/week

Role Responsibilities

  • Guide research and engineering teams to close knowledge gaps in data science, AI, and machine learning domains. Surface nuances that distinguish expert-level work from surface-level reasoning.
  • Design challenging data science and AI tasks rooted in real-world statistical modeling, ML pipelines, data engineering, and software workflows. Write accurate, well-documented solutions that serve as ground truth.
  • Evaluate AI agent outputs and data science solutions. Provide detailed written feedback that captures correctness, efficiency, and reasoning quality.
  • Develop and refine evaluation frameworks and rubrics for assessing statistical reasoning, ML pipeline design, agentic behavior, and data analysis approaches.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 3+ years of professional or research experience in data science, machine learning, data engineering, AI systems, or software engineering.
  • Demonstrated technical expertise in at least one of: statistical modeling, ML modeling, data analysis, programming, LLMs, or agentic workflows.
  • Demonstrable career progression.
  • Ability to commit to 40 hours per week during weekdays for the duration of the engagement.
  • Strong written communication skills and the ability to explain analytical and technical decisions clearly.

Preferred

  • Prior experience with data annotation, labeling, evaluation, or human feedback collection is a strong plus.
  • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks is a plus.

Compensation & Legal

  • W-2 employment with Cincinnatus LLC.
  • Paid weekly.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


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