ZipRecruiter

Log In

1

Machine Learning Engineer Opt Jobs in Bridgeport, CT

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 ...

New

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 ...

New

Pwc

NGA AI Engineer Manager

Melville, NY

$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 ...

Pwc

NGA AI Engineer Manager

Stamford, 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 ...

Pwc

NGA AI Engineer Senior Manager

Stamford, 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

NGA AI Engineer Senior Manager

Melville, NY

$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 ...

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 ...

New

ContractStaffingRecruiters.com

Be Seen First

PLATFORM CLOUD ENGINEER - REMOTE

Stamford, CT · Remote

$70 - $80/hr

Platform Cloud Engineer This role is a senior technical leadership position responsible for integrating and delivering production-grade AI, machine learning, and data capabilities. The position ...

New

Point72

Devops Engineer, Surveillance

Stamford, CT

$160K - $250K/yr

... Engineer, Surveillance A Career with Point72's Surveillance Team Point72's Surveillance team sets ... and machine learning workloads reliably and efficiently at scale * Develop and maintain CI/CD ...

Commonfund

AI/ML Development Analyst

Norwalk, CT · On-site

$100K - $150K/yr

Strong experience with Python programming . * Minimum one year hands-on experience developing machine learning or AI-based solutions . * Experience building or working with Agentic AI systems or ...

next page

Showing results 1-20

All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in Bridgeport, CT

Machine Learning Engineer Opt information

See Bridgeport, CT salary details

$32K

$130.9K

$196.7K

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

As of Jul 14, 2026, the average yearly pay for machine learning engineer opt in Bridgeport, CT is $130,928.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,200.00 and $157,600.00 per year, depending on experience, location, and employer.

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 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 popular job titles related to Machine Learning Engineer Opt jobs in Bridgeport, CT? For Machine Learning Engineer Opt jobs in Bridgeport, CT, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Opt jobs in Bridgeport, CT look for? The top searched job categories for Machine Learning Engineer Opt jobs in Bridgeport, CT are:
What cities near Bridgeport, CT are hiring for Machine Learning Engineer Opt jobs? Cities near Bridgeport, CT with the most Machine Learning Engineer Opt job openings:
Machine Learning Engineer Opt jobs near you
Infographic showing various Machine Learning Engineer Opt job openings in Bridgeport, CT as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $130,928 per year, or $62.9 per hour.
Sr Engineer (Perception)

Sr Engineer (Perception)

RANPAK

Shelton, CT

$104K - $143K/yr

Full-time

Posted 5 days ago

New

Job description

Ranpak Corporation seeks a Sr. Perception Engineer, in Shelton, CT, to develop advanced software modules for robotic perception systems. Position requires a Bachelor of Science (or foreign equ) in Computer Engineering, Electrical Engineering, Computer Science, Robotics Engineering or closely related field plus 4 years of experience as an Engineer. The position requires hands on experience developing robotics and machine perception systems in C++; knowledge in data structures and algorithms; 3 years of experience with OpenCV and the Point Cloud Library (PCL); proficient in Modern C++ with deep understanding of RAII, STL, templates, and contemporary language features; proficient in Unix/Linux environments; skilled in developing robust, production ready software systems; experienced in maintaining and extending large scale software libraries; proficient with ROS and other robotics middleware frameworks; hands on experience with parallel computing technologies, including TBB and CUDA; strong command of linear algebra libraries such as Eigen; background in applying machine learning techniques to real world problems; proficient with modern version control workflows using Git; familiar with agile development practices and CI/CD pipelines.