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Senior Machine Learning Engineer Jobs in Hartford, CT

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

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

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 ...

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 ...

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 ...

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 ...

The Walt Disney Company

Sr Software Engineer

Bristol, CT · On-site

$122K - $161K/yr

Job Posting Title: Sr Software Engineer Req ID: 10135285 Disney Entertainment and ESPN Product ... Familiar with machine learning model training * Familiar with prompt engineering and interacting ...

3B Staffing LLC

Gen AI Engineer

Hartford, CT · On-site

Strong foundation in AI, deep learning, and machine learning principles. * Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API. * Large Language Model ...

3B Staffing LLC

Gen AI Engineer

Hartford, CT · On-site

Strong foundation in AI, deep learning, and machine learning principles. * Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API. * Large Language Model ...

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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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Hartford, CT

Senior Machine Learning Engineer information

See Hartford, CT salary details

$60K

$127.7K

$185.1K

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

As of Sep 4, 2026, the average yearly pay for senior machine learning engineer in Hartford, CT is $127,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,400.00 and $144,800.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for 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 Hartford, CT?

The most popular types of Machine Learning Engineer jobs in Hartford, CT are:

What are popular job titles related to Senior Machine Learning Engineer jobs in Hartford, CT?

For Senior Machine Learning Engineer jobs in Hartford, CT, the most frequently searched job titles are:

What cities near Hartford, CT are hiring for Senior Machine Learning Engineer jobs?

Cities near Hartford, CT with the most Senior Machine Learning Engineer job openings:

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Hartford, CT as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $127,660 per year, or $61.4 per hour.

Lead AI Engineer

Massachusetts Mutual Life Insurance Company (MassMutual)

Springfield, MA • On-site

$17/hr

Full-time

Re-posted 20 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

197th of 315 rated insurance

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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