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

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+ ...

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.

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

... AI Engineer to join their Data and Analytics unit. The role involves participating in data ... machine learning techniques and collaborate with technology teams to operationalize them into ...

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

... Machine Learning Overview The Infosys Data and Analytics (DNA) unit is at the forefront of ... Required Skill and Experience Strong programming skills in Python Hands-on experience with AI/ML ...

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 ...

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 1-20

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 Jul 16, 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 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.

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:
Infographic showing various Machine Learning Engineer job openings in Bristol, CT as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $128,941 per year, or $62 per hour.
Associate Faculty - Master of Science in Computer Science

Associate Faculty - Master of Science in Computer Science

Post University

Waterbury, CT • On-site

$39K - $53K/yr

Other

Posted 27 days ago


Post University rating

6.3

Company rating: 6.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

472nd of 555 rated colleges and universities


Job description


At Post University, we believe that personalized guidance, unwavering motivation, robust support, and a student-centered education are the catalysts that allow students to achieve their individual academic and career goals. Our Associate Faculty play a central role in bringing this mission to life, especially for students navigating their first year of college.

Associate Faculty foster learning environments where students feel supported, motivated, and connected to the university community. Through intentional teaching, coaching, and relationship-building in and out of the classroom, they help students develop the skills, confidence, and sense of belonging needed to persist academically and grow into workforce-ready, socially responsible learners.

MASTER OF SCIENCE IN COMPUTER SCIENCE

ASSOCIATE FACULTY (ON CAMPUS)

School of Arts and Sciences
Post University
Waterbury, Connecticut

POSITION SUMMARY

Post University invites applications for Associate Faculty positions in the Master of Science in Computer Science program. We are seeking highly qualified educators, researchers, and industry professionals with terminal degrees who are passionate about teaching graduate students and preparing future technology leaders.

This position is for on campus instruction only at Post University's Waterbury, Connecticut campus. Successful candidates will teach graduate level courses, mentor students, contribute to academic excellence, and bring current industry and research expertise into the classroom.

The Master of Science in Computer Science program focuses on advanced topics including artificial intelligence, machine learning, software engineering, cybersecurity, cloud computing, data science, computer systems, and emerging technologies.

PRIMARY RESPONSIBILITIES

• Teach graduate level Computer Science courses in a face to face classroom environment.
• Deliver engaging, rigorous, and student centered instruction.
• Provide timely feedback and assessment of student learning.
• Mentor and advise graduate students.
• Integrate current industry practices, research, and emerging technologies into coursework.
• Participate in curriculum development, program assessment, and continuous improvement initiatives.
• Collaborate with faculty, program leadership, and university administration.
• Maintain academic records and adhere to university policies and accreditation standards.

MINIMUM QUALIFICATIONS

• Earned doctoral degree required in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Cybersecurity, Information Systems, Computer Engineering, or a closely related discipline.
• Demonstrated academic and/or professional expertise in the discipline being taught.
• Minimum of three years of relevant industry experience in computing, software development, cybersecurity, artificial intelligence, cloud computing, data science, systems engineering, or related technical fields.
• Strong communication, presentation, and interpersonal skills.
• Commitment to student success and academic excellence.

PREFERRED QUALIFICATIONS

• Previous graduate level teaching experience.
• Experience teaching in higher education.
• Record of scholarly activity, research, publications, presentations, or industry leadership.
• Experience developing graduate curriculum and course materials.
• Experience supervising student research, capstone projects, or thesis work.

AREAS OF EXPERTISE

Candidates with expertise in one or more of the following areas are encouraged to apply:

• Artificial Intelligence
• Machine Learning
• Deep Learning
• Data Science and Analytics
• Software Engineering
• Cybersecurity
• Cloud Computing
• Computer Networks
• Database Systems
• Programming Languages
• Systems Architecture
• DevOps
• Distributed Systems
• Human Computer Interaction
• Information Systems
• Mobile Application Development
• Web Application Development
• High Performance Computing
• Quantum Computing

INDUSTRY CERTIFICATIONS

Professional certifications are strongly preferred and should align with the candidate's area of expertise.

Examples include:

Cybersecurity
• CISSP
• CCSP
• CEH
• Security+
• CySA+

Cloud Computing
• AWS Solutions Architect
• AWS DevOps Engineer
• Microsoft Azure Solutions Architect Expert
• Google Professional Cloud Architect

Artificial Intelligence and Data Science
• Google Professional Machine Learning Engineer
• Microsoft Azure AI Engineer Associate
• Databricks Data Engineer Certifications

Networking and Infrastructure
• CCNA
• CCNP

Project Management
• PMP
• Certified ScrumMaster (CSM)
• ITIL Foundation

WHY JOIN POST UNIVERSITY?

• Opportunity to teach and mentor graduate students in a growing Master of Science in Computer Science program.
• Collaborative academic environment with strong institutional support.
• Ability to shape the future workforce in advanced computing disciplines.
• Opportunity to contribute to curriculum innovation and program growth.
• Engagement with students pursuing careers in artificial intelligence, cybersecurity, software engineering, cloud computing, and data science.

APPLICATION MATERIALS

Interested candidates should submit:

• Curriculum Vitae (CV)
• Cover Letter
• Unofficial or Official Academic Transcripts
• List of Relevant Certifications
• Teaching Philosophy Statement (preferred)
• Professional References

Post University is an Equal Opportunity Employer and is committed to fostering an inclusive and diverse academic community.




Part-time

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