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Mlops Engineer Jobs in Connecticut (NOW HIRING)

ClifyX

MLOps Engineer

Hartford, CT · On-site

ClifyX is seeking an MLOps Engineer to enhance their machine learning operations. The primary responsibilities include developing and automating ML pipelines, deploying models, and ensuring ...

ClifyX

GEN AI Data Scientist Engineer

Hartford, CT · On-site

... MLOps, DevOps, and Deployment • Agile, customer communication and offshore coordination and thought leadership ideas • Strong communication skills, with the ability to engage business ...

Applied Aerospace & Defense

Data Engineer

Newington, CT · On-site

$114K - $136K/yr

In alignment with current industrys best practices, this role integrates advanced data engineering, software development, and machine learning operations (MLOps) to deliver secure, scalable, and high ...

Applied Aerospace & Defense

Data Engineer

Newington, CT

$114K - $137K/yr

In alignment with current industry?s best practices, this role integrates advanced data engineering, software development, and machine learning operations (MLOps) to deliver secure, scalable, and ...

PCX Aerosystems

Data Engineer

Newington, CT · On-site

$114K - $136K/yr

In alignment with current industry's best practices, this role integrates advanced data engineering, software development, and machine learning operations (MLOps) to deliver secure, scalable, and ...

Info Way Solutions

Gen AI Engineer

Hartford, CT · On-site

... with MLOps, cloud-based AI deployment (AWS/GCP/Azure), and containerization (Docker, Kubernetes). • Knowledge of prompt engineering, reinforcement learning, and AI safety principles. • Strong ...

The Hartford

Senior AI Machine Learning Engineer

Hartford, CT · Hybrid

$123K - $162K/yr

The Hartford seeks a driven, team-focused Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Customer Operations Data Science team. The Hartford is ...

The Hartford

Sr AI Machine Learning Engineer

Hartford, CT · Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading ...

FAVARH

AI Principal Engineer

Windsor, CT · On-site +1

The AI Principal Engineer (IC Director) is responsible for leading the design, development, and ... Deep understanding of model lifecycle management, MLOps practices, and production reliability ...

Voya Financial, Inc.

AI Principal Engineer

Windsor, CT · On-site

The AI Principal Engineer (IC Director) is responsible for leading the design, development, and ... Deep understanding of model lifecycle management, MLOps practices, and production reliability ...

Kanak Elite Services Inc

AI Developer

Conantville, CT · On-site

AI Developer Location : Greenwich, CT Hybrid (Need local candidate) Duration : 6+ Months Interview ... Support deployment, monitoring, and lifecycle management of AI models following MLOps best ...

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Mlops Engineer information

See Connecticut salary details

$100.9K

$158.3K

$183.7K

How much do mlops engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for mlops engineer in Connecticut is $158,295.00, according to ZipRecruiter salary data. Most workers in this role earn between $152,045.00 and $170,612.00 per year, depending on experience, location, and employer.

What is an MLOps engineer?

An MLOps Engineer is responsible for deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and operations by automating workflows, optimizing infrastructure, and ensuring model reliability. Their role includes CI/CD for ML models, data pipeline management, and performance monitoring. They also work with cloud platforms, containerization, and orchestration tools to scale ML systems efficiently.

What are some common challenges MLOps engineers face in their daily work?

Mlops Engineers often encounter challenges in integrating new machine learning models into existing production systems while ensuring minimal downtime and maintaining data integrity. Managing the scaling and orchestration of models across various cloud or on-prem environments can be complex, requiring close coordination with data scientists and DevOps teams. Staying up to date with rapidly evolving tools and best practices is also essential in this field. Addressing these challenges provides valuable opportunities to innovate and improve both technical processes and team collaboration.

What are the key skills and qualifications needed to thrive as an MLOps engineer, and why are they important?

To thrive as an Mlops Engineer, you need strong skills in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science, engineering, or a related field. Familiarity with tools such as Docker, Kubernetes, TensorFlow, AWS/GCP/Azure, and CI/CD systems is essential, and certifications like AWS Certified Machine Learning or Kubernetes Administrator are often valued. Effective communication, problem-solving, and teamwork are crucial soft skills for collaborating across data science and IT teams. These abilities enable Mlops Engineers to efficiently deploy, manage, and scale machine learning models in dynamic production environments.

What do you need to be a MLOps engineer?

To become a MLOps engineer, you typically need a strong background in software engineering, machine learning, and cloud platforms. Proficiency in programming languages like Python, experience with containerization tools such as Docker, and knowledge of CI/CD pipelines are essential. Certifications in cloud services and familiarity with tools like Kubernetes and ML frameworks also enhance qualifications.

Who earns more, ML engineer or MLOps engineer?

MLOps engineers typically earn slightly more than ML engineers due to their focus on deploying, maintaining, and scaling machine learning systems, which requires expertise in cloud platforms, automation, and infrastructure. Salary differences can vary based on experience, location, and company size, but MLOps roles often command higher compensation because of their specialized skill set.

What are the most commonly searched types of Mlops Engineer jobs in Connecticut?

The most popular types of Mlops Engineer jobs in Connecticut are:

What are popular job titles related to Mlops Engineer jobs in Connecticut?

For Mlops Engineer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Mlops Engineer jobs in Connecticut look for?

The top searched job categories for Mlops Engineer jobs in Connecticut are:

Mlops Engineer jobs near you
Infographic showing various Mlops Engineer job openings in Connecticut as of August 2026, with employment types broken down into 89% Full Time, 4% Part Time, 2% Temporary, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $158,295 per year, or $76.1 per hour.

MLOps Engineer

ClifyX

Hartford, CT • On-site

Full-time

Re-posted yesterday

Job description

Job Summary:
ClifyX is seeking an MLOps Engineer to enhance their machine learning operations. The primary responsibilities include developing and automating ML pipelines, deploying models, and ensuring performance management and compliance.
Responsibilities:
• ML Pipeline Development & Automation
• Model Deployment & Serving
• Development and maintenance
• Monitoring & Performance Management
• Security & Compliance
• Continuous improvements
Qualifications:
Required:
• Work Experience in SageMaker Knowledge in setting up CI/CD aws code pipeline for Machine Learning Models (Preferably in Cloud)
• Dockers, Container Orchestration, ML Model Deployment and Monitoring and Maintenance
• Design, build and scale reliable data pipelines using AWS (Python, PySpark and Snowflake)
• Bash/Shell Scripting and SQL and ML Libraries Pandas, NumPy, PyTorch, Scikit-learn
• Data and Model quality monitoring
• S3, IAM, Lambda, step functions, Code build, ECR, ECS/Fargate
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.
ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998

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