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Product Manager Machine Learning Jobs in Connecticut

GXO Logistics

Lead Product Manager

Greenwich, CT · On-site

Own and manage the end-to-end lifecycle of AI, machine learning, generative AI, and advanced analytics products from ideation through deployment and continuous improvement * Partner with business ...

Crowe LLP

Machine Learning Engineer

Hartford, CT · On-site

$62K - $100K/yr

Write high-quality, production-ready code and assist in code reviews to maintain standards of excellence. * Develop and implement comprehensive testing protocols, including smoke tests and unit tests ...

Crowe LLP

Machine Learning Intern

Hartford, CT · On-site

$27 - $42/hr

... change management controls for risk and compliance policies Presenting work clearly to technical and non-technical audiences Relevant majors and areas of expertise Data Science Computer Science ...

Crowe LLP

Machine Learning Intern

Hartford, CT

$27 - $42/hr

... change management controls for risk and compliance policies Presenting work clearly to technical and non-technical audiences Relevant majors and areas of expertise Data Science Computer Science ...

The Hartford

Sr AI Machine Learning Engineer

Hartford, CT · Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ... Our products are delivered with a full monitoring solution to ensure our products continue to ...

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All JobsProduct Machine Learning JobsProduct Manager Machine Learning JobsProduct Manager Machine Learning Jobs in Connecticut

Product Manager Machine Learning information

See Connecticut salary details

$49K

$151.6K

$187.4K

How much do product manager machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for product manager machine learning in Connecticut is $151,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,100.00 and $187,400.00 per year, depending on experience, location, and employer.

What does a product manager machine learning do?

A Product Manager for Machine Learning oversees the development and deployment of machine learning products or features. They work closely with data scientists, engineers, and business stakeholders to identify opportunities where machine learning can deliver value, define product requirements, and guide projects from conception to launch. Their responsibilities include setting the product vision, prioritizing features, ensuring alignment with business goals, and evaluating the impact of machine learning solutions. They also help bridge the gap between technical teams and non-technical stakeholders by translating complex concepts into actionable plans.

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

To thrive as a Product Manager, Machine Learning, you need a solid understanding of product lifecycle management, data analytics, and machine learning concepts—often supported by a technical degree and relevant experience. Familiarity with tools like Python, SQL, JIRA, and machine learning frameworks, as well as certifications such as PMP or Agile, is highly beneficial. Outstanding communication, stakeholder management, and problem-solving skills help you bridge the gap between technical teams and business objectives. These abilities are crucial to successfully guide ML products from ideation to launch, ensuring they deliver real value and align with organizational goals.

How does a product manager machine learning typically collaborate with data scientists and engineering teams?

Product Managers in Machine Learning work closely with both data scientists and engineering teams to translate business objectives into viable AI-driven products. They facilitate communication by defining clear requirements, prioritizing features, and ensuring that the technical roadmap aligns with user needs and company strategy. Regular meetings, progress reviews, and shared documentation are common practices to keep everyone aligned. This cross-functional collaboration is essential for addressing feasibility, optimizing models, and delivering successful products on schedule.

What is the difference between Product Manager Machine Learning vs Data Scientist?

AspectProduct Manager Machine LearningData Scientist
Primary FocusOverseeing ML product development, strategy, and deploymentAnalyzing data, building models, and deriving insights
Required SkillsProduct management, ML understanding, cross-functional collaborationStatistics, programming, data analysis
Work EnvironmentProduct teams, engineering, business stakeholdersData analysis teams, research, engineering
Common CertificationsProduct management certifications, ML coursesData science certifications, programming skills

While both roles involve machine learning, Product Manager Machine Learning focuses on guiding ML products from conception to deployment, working closely with engineering and business teams. Data Scientists primarily analyze data and develop models to extract insights. The roles complement each other but differ in their core responsibilities and skill sets.

What are popular job titles related to Product Manager Machine Learning jobs in Connecticut?

For Product Manager Machine Learning jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Product Manager Machine Learning jobs in Connecticut look for?

The top searched job categories for Product Manager Machine Learning jobs in Connecticut are:

What cities in Connecticut are hiring for Product Manager Machine Learning jobs?

Cities in Connecticut with the most Product Manager Machine Learning job openings:

Product Manager Machine Learning jobs near you
Infographic showing various Product Manager Machine Learning job openings in Connecticut as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, 2% Temporary, and 3% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $151,640 per year, or $72.9 per hour.

Machine Learning Engineer

Graham Capital Management, L.P.

Norwalk, CT • On-site

Full-time

Re-posted 9 days ago

Job description

Job Summary:
Graham Capital Management, L.P. is an alternative investment manager specializing in discretionary and quantitative macro strategies. They are seeking a Machine Learning Engineer to join their Data Science team, where the role involves developing innovative solutions using machine learning and advanced statistical methods to support quant strategies and enhance data insights for stakeholders.
Responsibilities:
• You will be part of a growing team within Data Science.
• You will work alongside world-class talent to find innovative solutions to some of the most interesting problems in the buy-side.
• You will work closely with other areas such as Technology, Quantitative Research and Portfolio Manager groups as well as Risk and Operations to learn about problems they face with respect to data and ultimately develop cutting edge solutions.
• Your focus will be to dive deep into multiple data sets to understand relationships, develop time series, forecasting models, and support quant strategies, and provide new insights and leverage state-of-the-art machine learning and advanced statistical methods to produce the best data sources for the fund.
Qualifications:
Required:
• Undergraduate or higher degree in Computer Science, Engineering, Operations Research, or other quantitative discipline
• 3+ years of hands-on experience with Machine Learning and Statistics on large, unstructured, data sets
• Experience writing production code for multi-client systems serving model results is a great plus
• Ability to clearly communicate research findings to technical and nontechnical stakeholders
• Full-stack experience with Python (preferred) or C++, Spark/Scala, SQL or other distributed data processing technologies as well as experience working comfortably building and deploying services and models in containerized environments
• Experience with scientific computing, statistics, optimization, time series, panel data, etc.
• Comfortable handling multiple projects to solve varied problems working with multiple teams
• Detail-oriented mindset
• Sense of ownership of his/her work, working well both independently as well as collaboratively
Company:
Who We Are & What We Do: Graham Capital Management, L.P. Founded in 1994, the company is headquartered in Norwalk, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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