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

NAVA Software Solutions

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+ ...

Infosys

AI Engineer

Hartford, CT · On-site

The role of AI Engineer involves developing and operationalizing machine learning models, ensuring data quality, and collaborating with business and technology teams to create analytics solutions.

Pwc

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 ...

Applied Aerospace & Defense

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 ...

Applied Aerospace & Defense

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 ...

ClifyX

GEN AI Data Scientist Engineer

Hartford, CT · On-site

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

Pwc

CTIO 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 ...

Deloitte

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 ...

Deloitte

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 ...

The Hartford

Staff Software Engineer - AI

Hartford, CT · On-site

$127K - $191K/yr

Senior Staff Software Engineer - IE07HE We're determined to make a difference and are proud to be ... Design and develop machine learning techniques that allow agents to learn from experience and adapt ...

RANPAK

Sr Engineer (Perception)

Shelton, CT

$104K - $143K/yr

Ranpak Corporation seeks a Sr. Perception Engineer, in Shelton, CT, to develop advanced software ... machine learning techniques to real world problems; proficient with modern version control ...

Ranpak

Sr Engineer (Perception)

Shelton, CT · On-site

$104K - $143K/yr

Ranpak Corporation seeks a Sr. Perception Engineer, in Shelton, CT, to develop advanced software ... machine learning techniques to real world problems; proficient with modern version control ...

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Showing results 41-60

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

Machine Learning Engineer information

See Bristol, CT salary details

$31.5K

$128.9K

$193.8K

How much do machine learning engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for machine learning engineer in Bristol, CT is $128,941.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,600.00 and $155,200.00 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.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Bristol, CT? The most popular types of Machine Learning Engineer jobs in Bristol, CT are:
What are popular job titles related to Machine Learning Engineer jobs in Bristol, CT? For Machine Learning Engineer jobs in Bristol, CT, the most frequently searched job titles are:
What cities near Bristol, CT are hiring for Machine Learning Engineer jobs? Cities near Bristol, CT with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Bristol, CT as of July 2026, with employment types broken down into 89% Full Time, 7% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $128,941 per year, or $62 per hour.

Senior Data Engineer

NAVA Software Solutions

Bloomfield, CT • On-site

$105K - $143K/yr

Full-time

Re-posted 9 days ago

Job description

NAVA Software solutions is looking for a Senior Data Engineer
Details:
Role: Senior Data Engineer
Location: Bloomfield, CT; Denver, CO; Austin, TX; NYC, NY; virtual work is possible for the right candidates
Duration: 6-12 months
What You Will Do:
The Senior Data Engineer is responsible for the delivery of a business need end-to-end starting from understanding the requirements to deploying the software into production. This role requires you to be fluent in some of the critical technologies with proficiency in others and have a hunger to learn on the job and add value to the business. Critical attributes of being a Senior Data Engineer, among others, is Ownership & Accountability.
In addition to Delivery, the Senior Data Engineer should have an automation first and continuous improvement mindset. They should drive the adoption of CI/CD tools and support the improvement of the tools sets/processes.
Behaviors of a Full Stack Engineer:
Senior Data Engineer is able to articulate clear business objectives aligned to technical specifications and work in an iterative, agile pattern daily. They have ownership over their work tasks, and embrace interacting with all levels of the team and raise challenges when necessary. We aim to be cutting-edge engineer - not institutionalized developers.
Key Characteristics and duties you will perform:
  • Analyze source data and data flows, working with structured and unstructured data.
  • Build data pipelines to extract, transform, crunch and store data in various target systems
  • Write reference-able & modular code
  • Design and architect the solution independently
  • Have a passion to learn, Take ownership and accountability
  • Deep desire for automation using devops practices and toolsets
  • Have a desire to simplify;be entrepreneurial / business minded

Skills and Experience You Will Need:
Mandatory:
  • 2+ years being part of Agile teams - Scrum or Kanban
  • 2+ years of solution architecting in cloud technology (eg. AWS, Azure, google cloud)
  • 6+ years of working in an object-oriented language: Java or Scala and Python
  • 3+ years of working experience in Apache Spark, PySpark, Apache Airflow
  • 3+ years of database systems like Hadoop, Teradata, Redshift, Oracle, MySQL, PostgreSQL, MongoDB, Neo4j, Cassandra
  • 3+ years of devops tool chain: Jenkins, Maven, Artifactory, Docker, Terraform, Ansible
  • 3+ years of experience in AWS Glue, SNS, SQS, S3, ECS, LAMBDA
  • 2+ years of working experience with operationalizing Machine learning models

Desired:
  • Understanding of Machine learning frame works (e.g. Scikit learning, Scipy)
  • Understanding and 1+ yrs of working experience with Deep learning frameworks

Skills/Certifications/Licenses:
  • Nice to have AWS solution architecture and developer certification
  • Nice to have data science and Machine learning certification from a reputed institution
NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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