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Sr Machine Learning Engineer Jobs in Coventry, CT

TRUMPF Group

Machine Assembly Intern

Farmington, CT · On-site

... learning. Internship Duatlon: Onsite in Farmington, CT from January 2027 to August 2027 for at ... Engineering, Experience with software packages like MS Word, MS Access, MS Power Point, Visio ...

Trumpf

Machine Assembly Intern

Farmington, CT · On-site

... learning. Internship Duatlon: Onsite in Farmington, CT from January 2027 to August 2027 for at ... Engineering, Experience with software packages like MS Word, MS Access, MS Power Point, Visio ...

TRUMPF Group

Machine Assembly Intern

Farmington, CT · On-site

... learning. Internship Duatlon: Onsite in Farmington, CT from January 2027 to August 2027 for at ... Engineering, Experience with software packages like MS Word, MS Access, MS Power Point, Visio ...

Trumpf

Machine Assembly Intern

Farmington, CT · On-site

... learning. Internship Duatlon: Onsite in Farmington, CT from January 2027 to August 2027 for at ... Engineering, Experience with software packages like MS Word, MS Access, MS Power Point, Visio ...

Deloitte

Forward Deployed Engineer- AWS

Hartford, CT · On-site

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ ... Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ...

Columbia Manufacturing, LLC

Senior Machinist

Columbia, CT · On-site

$30 - $40/hr

Machine close-tolerance features while maintaining dimensional integrity, surface finish, and ... Interpret engineering drawings, weld symbols, repair manuals, and technical instructions. * Support ...

Columbia Manufacturing, LLC

Senior Machinist

Columbia, CT · On-site

$30 - $40/hr

Machine close-tolerance features while maintaining dimensional integrity, surface finish, and ... Interpret engineering drawings, weld symbols, repair manuals, and technical instructions. * Support ...

COLUMBIA MANUFACTURING

Senior Machinist

Columbia, CT · On-site

$20.50 - $28.25/hr

Machine close-tolerance features while maintaining dimensional integrity, surface finish, and ... Interpret engineering drawings, weld symbols, repair manuals, and technical instructions. * Support ...

SynergisticIT

Junior Software Engineer (Remote)

Hartford, CT · On-site +1

$86K - $136K/yr

We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics ...

New

Pwc

AI Engineer

Hartford, CT · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

1 point system

AI/ML Engineer

Hartford, CT · Remote

A minimum of 6 years of experience in software engineering, data engineering, or machine learning engineering is required. This must include 3 years of experience in data science or artificial ...

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Showing results 41-60

All JobsSr Machine Learning Engineer JobsSr Machine Learning Engineer Jobs in Coventry, CT

Sr Machine Learning Engineer information

See Coventry, CT salary details

$59.4K

$126.4K

$183.2K

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

As of Sep 11, 2026, the average yearly pay for sr machine learning engineer in Coventry, CT is $126,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,400.00 and $143,300.00 per year, depending on experience, location, and employer.

What is a Sr Machine Learning Engineer?

Senior Machine Learning Engineers are experienced professionals who design, develop, and implement machine learning models and systems. They work on complex problems, lead technical projects, and often mentor junior engineers. Their responsibilities include data preprocessing, model selection, algorithm development, and optimizing solutions for scalability and performance. Senior ML Engineers also collaborate closely with data scientists, software engineers, and stakeholders to integrate machine learning into products and services.

What are the key skills and qualifications needed to thrive as a Sr Machine Learning Engineer?

To thrive as a Sr Machine Learning Engineer, you need advanced expertise in machine learning theory, programming (Python, R), data modeling, and a strong background in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and relevant certifications (like TensorFlow Developer) is highly beneficial. Strong problem-solving skills, effective communication, and the ability to lead and mentor teams set top candidates apart. These skills ensure the ability to design scalable ML solutions, collaborate effectively, and drive impactful business outcomes.

How does a Sr Machine Learning Engineer typically collaborate with data scientists and software engineers within a project team?

Sr Machine Learning Engineers frequently act as a bridge between data scientists, who focus on model development and experimentation, and software engineers, who handle system integration and production deployment. They translate prototype models into scalable, production-ready solutions, ensuring that models are optimized for real-world performance. Collaboration often involves reviewing code, aligning on data pipeline requirements, and participating in regular team meetings to address technical and business objectives. This cross-functional teamwork is essential for delivering reliable machine learning products.

What is the difference between Sr Machine Learning Engineer vs Data Scientist?

AspectSr Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related fields; experience with ML frameworksBachelor's/Master's/PhD in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, interprets data insights for business
Industry UsageTech, finance, healthcare, e-commerceResearch, marketing, finance, tech

While both roles involve working with data and models, Sr Machine Learning Engineers focus on building and deploying scalable ML systems, whereas Data Scientists primarily analyze data and develop insights. The roles often overlap but differ in technical focus and responsibilities.

What cities near Coventry, CT are hiring for Sr Machine Learning Engineer jobs?

Cities near Coventry, CT with the most Sr Machine Learning Engineer job openings:

Sr Machine Learning Engineer jobs near you
Infographic showing various Sr Machine Learning Engineer job openings in Coventry, CT as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 67% Full Time, 29% Part Time, and 2% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $126,376 per year, or $60.8 per hour.

Lead AI Engineer

Springfield, MA • On-site

Massachusetts Mutual Life Insurance Company (MassMutual)
See more jobs at Massachusetts Mutual Life Insurance Company (MassMutual)external

$17/hr

Full-time

Re-posted 27 days ago

Key responsibilities

  • Lead the design, deployment, and production scaling of advanced AI solutions across the enterprise.

  • Build, evaluate, and validate AI systems, including generative AI, agentic AI, and LLM-based systems, through experimentation and benchmarking.

  • Collaborate with engineering teams to develop robust AI pipelines and APIs, and communicate technical findings to senior leadership.

MassMutual rating

7.8

Company rating: 7.8 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

Job description

The Opportunity
MassMutual's AI & Data Science team is seeking an impact-driven Lead AI Engineer to join our high-performing, cross-functional team. In this role, you will lead the design, deployment, and production scaling of advanced AI solutions that solve complex, high-value problems across the enterprise. You'll architect and deliver generative AI, agentic AI, and LLM-based systems by applying rigorous scientific methods, writing high-quality production code, and communicating results to senior leadership.
The Team
This is a unique opportunity to work alongside experts in applied AI, statistics, and computer science. The team operates at the intersection of cutting-edge research and enterprise delivery, building AI solutions that shape the future of MassMutual and the life insurance industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind of collaboration that makes challenging problems tractable.
The Impact
  • Architect, build, and lead end-to-end AI solutions supporting a range of enterprise use cases-from ideation through production deployment and monitoring-using LLMs, agentic AI, machine learning, and probabilistic modeling, with accountability for reliability, performance, and maintainability.
  • Design and conduct rigorous evaluations of AI system performance, including experimentation, benchmarking across foundation models, and quantitative analysis, to validate approaches and inform technical decisions.
  • Drive innovation by identifying emerging technologies, translating cutting-edge research into practical applications, and establishing team-wide best practices in AI development and responsible AI deployment.
  • Build rapid prototypes to test and validate AI approaches and deliver production-grade AI-powered applications (e.g., intelligent interfaces, dashboards, automated workflows) when solutions prove viable.
  • Collaborate with engineering teams to build robust, production-grade AI pipelines and APIs that integrate into the broader enterprise technology ecosystem.
  • Influence senior leadership by aligning AI initiatives with enterprise strategy and communicating complex technical concepts and findings in clear, actionable terms.
  • Mentor and develop junior talent, fostering a culture of technical excellence, scientific rigor, and continuous learning across the team.

The Minimum Qualifications
  • 7+ years of experience in data science, machine learning, or AI engineering, with a track record of delivering impactful AI/ML solutions at scale.
  • Deep expertise in machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and LLM evaluation across a variety of foundation models and benchmarks.
  • Demonstrated ability to build, deploy, and scale production AI systems from architecture planning through orchestration, monitoring, and end-user delivery.
  • Strong programming skills in Python, with the ability to write clean, well-tested, production-quality code, including familiarity with Docker, Kubernetes, and other orchestration and deployment frameworks.
  • M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field, or equivalent years of relevant professional experience.

The Ideal Qualifications
  • Familiarity with agentic AI tooling ecosystems, such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols.
  • Experience developing and evaluating AI systems in a regulated industry, with a strong understanding of compliance and privacy standards.
  • Breadth across AI and data science methods-including classical ML, causal inference, optimization, and Bayesian approaches-with comfort moving across techniques as problems demand.
  • Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search.
  • Exceptional ability to translate complex AI concepts and quantitative findings into clear insights for non-technical stakeholders and senior leadership.
  • Exceptional research credentials, such as published work, significant open-source contributions, or a strong record of scientific rigor applied in industry.

What to Expect as Part of MassMutual and the Team
  • Regular meetings with the AI & Data Science team
  • Focused one-on-one meetings with your manager
  • Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups
  • Access to learning content on Degreed and other informational platforms
  • Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits

#LI-MC1
Salary Range:
$172,000-$225,700
At MassMutual, we focus on ensuring fair equitable pay, by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component.
Why Join Us.
We've been around since 1851. During our history, we've learned a few things about making sure our customers are our top priority. In order to meet and exceed their expectations, we must have the best people providing the best thinking, products and services. To accomplish this, we celebrate an inclusive, vibrant and diverse culture that encourages growth, openness and opportunities for everyone. A career with MassMutual means you will be part of a strong, stable and ethical business with industry leading pay and benefits. And your voice will always be heard.
We help people secure their future and protect the ones they love. As a company owned by our policyowners, we are defined by mutuality and our vision to put customers first. It's more than our company structure - it's our way of life. We are a company of people protecting people. Our company exists because people are willing to share risk and resources, and rely on each other when it counts. At MassMutual, we Live Mutual.
MassMutual is an equal employment opportunity employer. We welcome all persons to apply.
If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
At MassMutual, we focus on ensuring fair, equitable pay by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. For more information about our extensive benefits offerings please check out our Total Rewards at a Glance.

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