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

Pwc

NGA AI Engineer Senior Manager

Hartford, CT

$91K - $321K/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 ...

Pwc

US Tech - AI Engineering Senior Associate

Hartford, CT · On-site

$55K - $187K/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 ...

Pwc

ERP AI Engineer - Senior Associate

Hartford, CT · On-site

$77K - $202K/yr

Responsibilities - Design and implement advanced AI and machine learning solutions - Analyze ... Engineering, Mathematics, Statistics, or a related quantitative field - At least 3 years of ...

Pwc

US Tech - AI Engineering Manager

Hartford, CT · On-site

$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 ...

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

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 Jul 22, 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 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 cities near Avon, CT are hiring for Machine Learning Engineer jobs? Cities near Avon, CT with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Avon, CT as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $126,702 per year, or $60.9 per hour.
Associate Data Engineer - Tech Catalyst Program (Hartford)

Associate Data Engineer - Tech Catalyst Program (Hartford)

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site

$115K - $138K/yr

Full-time

Posted 6 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 119 frontline employees who took The Breakroom Quiz

49th of 281 rated insurance

Job description

Assoc Data Engineer - GE08BE
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.
Tech Catalyst Program - Associate Data Engineer
Launch your career building scalable, intelligent data solutions powered by cloud and AI!
The Hartford's Tech, Data, Analytics & Cyber organization is hiring early career data engineers who are passionate about turning data into actionable insights and business value.
The Tech Catalyst Program is a structured, immersive experience designed to accelerate your development as a modern data engineer. You will gain hands-on experience building data products and pipelines while developing capabilities across data engineering, cloud platforms, and AI-enabled data systems.
This program reflects our commitment to building a future-ready workforce-equipping early career talent with in-demand skills in data, cloud, and AI.
This is a hybrid role based in Hartford, CT.
What You'll Do
Contribute to modern data engineering teams
  • Design, build, and maintain scalable data pipelines and data products
  • Develop ETL/ELT processes to ingest, transform, and curate structured and unstructured data
  • Ensure data quality, reliability, and performance across data solutions
  • Partner with data analysts, data scientists, and product teams to deliver business value

Build cloud and platform capabilities
  • Develop solutions using cloud-native data platforms (AWS, with GCP exposure for AI capabilities)
  • Work with modern tools such as Snowflake, BigQuery, and cloud storage solutions
  • Support data platform engineering, automation, and pipeline orchestration
  • Contribute to data modernization initiatives, including migration to cloud environments

Apply AI and data-driven engineering
  • Support AI/ML use cases by preparing and optimizing data for models
  • Apply foundational understanding of machine learning workflows and supporting data pipelines
  • Leverage AI-assisted tools (including Google Vertex) to enhance productivity and data solutions
  • Build awareness of responsible AI, data ethics, and governance practices
  • Collaborate with data scientists to operationalize machine learning solutions

Deliver business impact while growing your capabilities
  • Translate business and analytical needs into scalable data solutions
  • Communicate insights and technical concepts to diverse audiences
  • Demonstrate adaptability and continuous learning across evolving tools and platforms
  • Contribute to inclusive, collaborative, product-focused team environments

Program Experience
Structured learning and real-world application
  • 10-week immersive onboarding and technical training experience
  • Continued capability-building focused on modern data engineering, cloud, and AI

Hands-on delivery and exposure
  • Placement on Agile, product-aligned teams supporting enterprise data solutions
  • Exposure to business-critical use cases across insurance and analytics domains

Support and career growth
  • Mentorship, coaching, and peer learning designed to accelerate development
  • Opportunities to build a strong internal network and long-term career path

Who You Are
  • Passionate about using data to drive business and customer outcomes
  • Curious about emerging technologies including data platforms, AI, and cloud
  • Adaptable and comfortable working in evolving, ambiguous environments
  • Strong problem solver with data-driven thinking skills
  • Effective communicator who collaborates well across teams

Basic Qualifications
  • Bachelor's degree (expected graduation: May 2027) in:
    Computer Science, Data Engineering, Data Analytics, Information Technology, Engineering, or related field
  • Minimum GPA of 3.0 at time of graduation
  • Authorization to work in the U.S. without sponsorship now or in the future

Technical Skills & Experience
  • Foundational experience with:
    • SQL and relational databases
    • At least one programming language (Python, Java, or R)
  • Understanding of data structures, data modeling, and ETL/ELT concepts
  • Exposure to data pipelines, data analysis, or data engineering concepts

Experience and Exposure to Some or All of the Following
  • Experience with cloud platforms (AWS preferred; GCP or Azure helpful)
  • Familiarity with data warehousing and big data tools (Snowflake, Hadoop, Spark)
  • Exposure to data pipeline and orchestration tools
  • Experience with APIs or distributed data systems
  • Exposure to machine learning, data science, or AI-related coursework or projects
  • Familiarity with business intelligence or analytics tools

Why Join Tech Catalyst
  • Designed to launch and accelerate early career data engineering talent
  • Aligned to The Hartford's long-term data and technology strategy
  • Focus on building in-demand skills across data engineering, AI, and cloud
  • Strong emphasis on mentorship, inclusion, and career development
  • Opportunity to contribute to data solutions that power enterprise decision-making

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:
$74,000 - $111,000
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

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Hours and flexibility

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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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