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

Sr Software Engineer

Bristol, CT · On-site

$122K - $161K/yr

... Engineer to join their Content Platform Engineering team. This role focuses on building and ... and machine learning workflows, contributing to the media supply chain for iconic brands like ...

Senior Data Engineer

Bloomfield, CT · On-site

$105K - $143K/yr

Senior Data Engineer Location: Bloomfield, CT; Denver, CO; Austin, TX; NYC, NY; virtual work is ... Understanding of Machine learning frame works (e.g. Scikit learning, Scipy) * Understanding and 1+ ...

AI Solutions Engineering Delivery Lead

Hartford, CT · On-site

$103K - $136K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

ClifyX is seeking an MLOps Engineer to enhance their machine learning operations. The primary responsibilities include developing and automating ML pipelines, deploying models, and ensuring ...

Data Engineer

Newington, CT · On-site

$114K - $136K/yr

The Data Engineer is a strategic technical role responsible for architecting, building, and ... In addition, this role leads the operationalization of machine learning models, ensuring they are ...

Data Engineer

Newington, CT

$114K - $137K/yr

The Data Engineer is a strategic technical role responsible for architecting, building, and ... In addition, this role leads the operationalization of machine learning models, ensuring they are ...

The role involves building, training, validating, and deploying machine learning models, as well as ... Data Engineering Skills • Expertise in Statistics and Analytical Skills • Intermediate ...

Senior Forward Deployed Engineer- AWS

Hartford, CT · On-site

$105K - $144K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Lead Forward Deployed Engineer - AWS

Hartford, CT · On-site

$103K - $136K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Showing results 21-40

Machine Learning Engineer information

See Avon, CT salary details

$31K

$126.7K

$190.4K

How much do machine learning engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning engineer in Avon, CT is $126,702.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,900.00 and $152,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

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 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 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 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 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.

What cities near Avon, CT are hiring for Machine Learning Engineer jobs?

Cities near Avon, CT with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in Avon, CT as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $126,702 per year, or $60.9 per hour.

AI/ML Engineer - Hartford, CT, Princeton, NJ, Newark, NJ, New York City, NY, Boston, MA.

TechniPros, LLC

East Hartford, CT • On-site

Other

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Job Title: AI/ML Engineer
Location: Hartford, CT, Princeton, NJ, Newark, NJ, New York City, NY, Boston, MA.
Contact: 12+ Months
Looking for W2 candidates. No C2C

Job Summary

·       We are seeking an experienced AI/ML Engineer to design, develop, and deploy enterprise-grade Machine Learning and Generative AI solutions. The ideal candidate will have a strong background in AI/ML engineering, data science, predictive analytics, and cloud-based ML development, along with experience in the insurance or financial services industry. This role requires expertise in building scalable ML solutions, customer analytics, and business intelligence to drive strategic business outcomes.

Key Responsibilities

·        Design, develop, deploy, and maintain production-grade Machine Learning and Generative AI solutions.

·        Build scalable ML models and inference pipelines supporting APIs, batch processing, and real-time predictions.

·        Develop predictive analytics models to improve customer engagement, marketing effectiveness, revenue generation, and business performance.

·        Perform data exploration, anomaly detection, feature engineering, and exploratory data analysis (EDA).

·        Develop Machine Learning models using Python in cloud environments.

·        Collaborate with business stakeholders to identify AI/ML opportunities and translate business requirements into technical solutions.

·        Implement Responsible AI practices, including model monitoring, bias mitigation, explainability, and data privacy.

Required Qualifications

·        Strong experience supporting Sales, Marketing, Customer Engagement, or Customer Analytics initiatives.

·        Proven experience designing, deploying, and managing production Machine Learning and/or Generative AI solutions.

·        Hands-on experience building ML APIs, batch inference, and real-time prediction services.

·        Strong Python programming experience for Machine Learning development.

·        Strong SQL skills with expertise in data analysis and exploratory data analysis (EDA).

·        Experience with Azure Machine Learning, Dominos, and/or Power BI.

·        Strong statistical and mathematical knowledge supporting predictive modeling and data science.

Mandatory Skills

·        Python

·        SQL

·        Machine Learning

·        Generative AI

·        Azure Machine Learning

·        Power BI

·        Predictive Modeling

·        Data Science

·        Data Analysis

·        API Development

Best Regards:

Peerbhi SK
Phone:
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