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Machine Learning Engineer Opt Jobs in Manchester, CT

Senior Data Engineer

Bloomfield, CT · On-site

$105.90K - $143.90K/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 Data Engineer - Manager

Hartford, CT

$115.50K - $138.70K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Lead the development of AI models (e.g., machine learning, natural language processing, computer ...

AI and Data Science Engineer III

Hartford, CT · On-site +1

$115.50K - $138.70K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

AI Data Engineer Senior Consultant

Hartford, CT · On-site

$115.50K - $138.70K/yr

They are seeking an AI Data Engineer Senior Consultant to build and operate the data, features, and ... machine learning training and real-time inference, including online and offline consistency ...

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 ...

Data Scientist

Hartford, CT · On-site +1

$90.16K - $135.24K/yr

... machine learning, and data engineering techniques to enhance and overhaul core actuarial processes ... The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

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 ...

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Showing results 1-20

Machine Learning Engineer Opt information

See Manchester, CT salary details

$31.8K

$130.1K

$195.4K

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

As of May 30, 2026, the average yearly pay for machine learning engineer opt in Manchester, CT is $130,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $156,500.00 per year, depending on experience, location, and employer.

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 a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What are some common challenges Machine Learning Engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are popular job titles related to Machine Learning Engineer Opt jobs in Manchester, CT? For Machine Learning Engineer Opt jobs in Manchester, CT, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Opt jobs in Manchester, CT look for? The top searched job categories for Machine Learning Engineer Opt jobs in Manchester, CT are:
What cities near Manchester, CT are hiring for Machine Learning Engineer Opt jobs? Cities near Manchester, CT with the most Machine Learning Engineer Opt job openings:
AI/ML Engineer, EB Applied AI and Analytics

AI/ML Engineer, EB Applied AI and Analytics

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site

$100.96K - $151.44K/yr

Full-time

Posted 11 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

53rd of 259 rated insurance


Job description

Data Engineer - GE08AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford is seeking an Applied AI Engineer within EB Applied AI and Analytics to define, build, deploy, and sustain enterprise-scale applied AI solutions with significant business impact. This role carries accountability for complex, multi-domain AI systems in production and serves as a technical authority and strategic problem solver across the applied AI portfolio, while remaining hands-on with critical components.
Team Description
The Employee Benefits Applied AI and Analytics (EB AIA) team is a rapidly growing team focused on providing deep insight, automation, and augmentation across the policy lifecycle for Employee Benefits customers and internal business stakeholders. The EB AIA team supports a portfolio across the EB lifecycle, from sales and underwriting to policy installation, renewal, and everything in between. In addition to our existing portfolio of Predictive AI assets, the team is scaling to expand an end-to-end (E2E), AI-driven reimagination of the EB underwriting and service organizations. Our E2E projects will include integrated, interactive solutions with a toolkit including generative AI, agentic AI, natural language processing, computer vision, and predictive machine learning techniques. We deliver value by partnering closely with enterprise enablement and other line of business data science teams to help build a consistent approach to architecture and practices across AI products while tailoring solutions to our customers' unique needs in accuracy, transparency, and scalability.
Responsibilities
  • Design, build, and maintain AI components and data pipelines that support applied AI use cases
  • Contribute to the development and operation of batch and real-time data/AI pipelines supporting AI model training and inference
  • Implement and maintain production AI assets in alignment with defined architecture, coding standards, and operational practices
  • Collaborate closely with senior Applied AI Engineers, Data Engineers, Architects, Scientists to implement approved solution designs
  • Support deployment, monitoring, and maintenance of AI services and workflows in production environments
  • Apply established CI/CD, testing, and observability practices to ensure solution quality and reliability
  • Assist in identifying, integrating, and validating data sources to ensure data quality and suitability for AI and analytics use cases
  • Participate in code reviews, design discussions, and knowledge sharing to continue developing applied AI and data engineering expertise

Qualifications
  • 3-6 years of experience in software engineering, data engineering, or applied AI / machine learning engineering
  • Bachelor's degree in Computer Science, Engineering, IT, MIS, or a related discipline
  • Working experience with Python and SQL
  • Familiarity with data/AI/ML engineering concepts, including batch or streaming pipelines
  • Exposure to deploying applications or data workflows in AWS, Azure, or GCP
  • Ability to work effectively within defined architectural, security, and engineering

This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week
Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$100,960 - $151,440
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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