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

Pwc

US Tech - AI Engineering Manager

Hartford, CT

$73K - $244K/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 ...

PCX Aerosystems

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 ...

Cigna

Data Science Director - Remote

Bloomfield, CT · On-site +1

Provide technical leadership across machine learning, statistical modeling, feature engineering, model evaluation, calibration, explainability, and production-ready analytics. * Drive execution ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · Remote

$117K - $140K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

Crowe LLP

AI Infrastructure Engineer

Hartford, CT · On-site

$108K - $142K/yr

Engineer advanced ADO pipeline patterns (multi-stage, gated, reusable templates) * Solve complex ... You've gone deeper than reading blog posts, ideally having several example machine learning ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Hartford, CT

Machine Learning Engineer information

See Hartford, CT salary details

$31.8K

$129.9K

$195.2K

How much do machine learning engineer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for machine learning engineer in Hartford, CT is $129,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $156,400.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

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 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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

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 engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Hartford, CT? The most popular types of Machine Learning Engineer jobs in Hartford, CT are:
What are popular job titles related to Machine Learning Engineer jobs in Hartford, CT? For Machine Learning Engineer jobs in Hartford, CT, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Hartford, CT look for? The top searched job categories for Machine Learning Engineer jobs in Hartford, CT are:
What cities near Hartford, CT are hiring for Machine Learning Engineer jobs? Cities near Hartford, CT with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Hartford, CT as of July 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $129,891 per year, or $62.4 per hour.
Data Science Team Lead - Sr. Principal Engineer - Commercial DPHM P5 (Onsite)

Data Science Team Lead - Sr. Principal Engineer - Commercial DPHM P5 (Onsite)

Raytheon Technologies

East Hartford, CT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Date Posted:
2026-07-14
Country:
United States of America
Location:
US-CT-EAST HARTFORD-ETC ~ 400 Main St ~ BLDG ETC
Position Role Type:
Onsite
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of "U.S. Person" go here: https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62
Security Clearance Type:
None/Not Required
Security Clearance Status:
Not Required
RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.
Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.
What You Will Do:
Control & Diagnostic Systems (CDS) is a dynamic engineering organization focused on the development and certification of military and, commercial and industrial gas turbine engine control, and diagnostic systems. CDS is responsible for all aspects of Pratt & Whitney engine control and diagnostic system development including requirements analysis & definition, system & software architecture, algorithm design, and product software design, verification & validation. We integrate the control and diagnostic system design across other engine system modules and with the air vehicles and provide support throughout the complete engine product life cycle.
The Diagnostics, Prognostics & Health Management (DPHM) discipline within CDS develops and maintains systems that ingest and process engine data, tools that provide secure and efficient access, and analytics that generate critical insights and alerts to keep the commercial fleet operating reliably and efficiently.
Commercial DPHM is seeking a Data Science Technical Team Lead to guide the development of advanced diagnostics, prognostics, and engine health monitoring analytics supporting commercial fleet operations. This leader will drive technical direction, mentor a multidisciplinary data science team, and help shape the next generation of commercial health monitoring capabilities.
This role provides technical leadership in designing robust analytics, data science, machine learning, and AI solutions to solve complex engine-health and physics-based problems.
Success in this role requires expertise in statistics, data science, machine learning, and AI techniques, strong domain understanding, and the ability to collaborate closely with stakeholder teams to ensure models and analytics accurately reflect engine behavior and operational realities.
The position is based at the P&W East Hartford facility and is an onsite role.
Key Responsibilities:
  • Lead development of advanced DPHM analytics using statistical modeling, physics informed approaches, machine learning, and AI applied to operational fleet data.
  • Serve as the primary technical expert for the team's most challenging analytical problems, shaping solutions from concept through validation and deployment.
  • Define and advance analytic methods, modeling standards, validation practices, and technical best practices across the Commercial DPHM data science team.
  • Provide technical mentoring, coaching, and review for other data scientists to strengthen overall team capability.
  • Collaborate across multidisciplinary teams to ensure analytics align with engine physics, system behavior, and customer needs.
  • Ensure deployed analytics meet expectations for accuracy, robustness, and reliability, and support continuous performance monitoring and improvement.
  • Contribute to long term analytic strategy, capability development, and roadmap planning for Commercial DPHM.

Qualifications You Must Have:
  • Bachelors' Degree Science, Technology, Engineering or Mathematics (STEM)
  • 10 years engineering experience or an advanced Degree with 7 years prior engineering experience.

Qualifications We Prefer:
  • Expertise in a variety of statistics, data science, machine learning, and AI techniques.
  • Expertise with Python and core data science/modeling libraries.
  • Experience developing analytics for operational, real-world, or safety-critical applications.
  • Expertise in analyzing, modeling, and interpreting time series data.
  • Experience with MLOps practices, including model versioning, automated testing, CI/CD for analytics, and managing models throughout their lifecycle.
  • Experience providing technical guidance or mentorship to other data scientists.
  • Experience deploying to cloud-based applications.
  • Experience deploying to edge compute hardware.
  • Knowledge of gas turbine engines and their operation.
  • Knowledge of and exposure to aerospace control and diagnostic systems.

What We Offer:
  • Benefits
  • Relocation Assistance

Learn More & Apply Now!
Department Overview:
Controls & Diagnostics Systems (CDS)
CDS develops complex, cyber-resilient control systems and software for commercial and military engines including power and thermal management Systems and auxiliary power units. CDS also develops advanced diagnostic & health management systems to monitor our products, forecast events and help facilitate MRO operations. With growing emphasis on sustainability, CDS is on the forefront of system development for hybrid and electric propulsion.
What is my role type?
In addition to transforming the future of flight, we are also transforming how and where we work. We've introduced role types to help you understand how you will operate in our blended work environment.
This role is:
Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.
Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee's personal responsibility.
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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