Senior AI Machine Learning Engineer

Hartford, CT

Open 4 months, first seen by us 142 days ago

Pay: $117,200–175,800/year · Base — pay source
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $117,200 - $175,800 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
Read the full posting
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization: Must already have the right to work in the USMust be authorized to work in the US now and in the future

What you’ll work on

Full posting

Design, build, and deploy traditional ML and generative AI models
Research and implement suitable Generative and ML algorithms and tools
Deliver model deployment milestones in AWS and GCP clouds
Mentor junior engineers and present new concepts to technical audiences
Promote MLOps best practices across the data science community

From the employer’s posting

Accountable for deployment design, development and maintenance of both traditional ML and AI models.

Research, experiment with, and implement suitable Generative and ML algorithms, tools and technologies.

Delivery of critical milestones for model deployment in the AWS and GCP clouds.

Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable presenting new concepts to technical audiences.

Adopt and promote MLOps best practices to the Data Science community.

What you’ll bring

All qualifications

Core experience

Master’s degree in related field or 5+ years of equivalent experience in a research or DevOps function.
Familiarity with emerging data centric technologies such generative AI, Agentic workflows, and embedding LLM’s into automated processes
Experience developing repeatable architectural patterns; ability to identify redundancies and eliminate them with these patterns.
Experience building and deploying API services within the Cloud.
Experience building CICD pipeline using Jenkins or equivalent
Experience with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or equivalents

Qualification wording

Master’s degree in related field or 5+ years of equivalent experience in a research or DevOps function.

Familiarity with emerging data centric technologies such generative AI, Agentic workflows, and embedding LLM’s into automated processes

Experience developing repeatable architectural patterns; ability to identify redundancies and eliminate them with these patterns.

Experience building and deploying API services within the Cloud.

Experience building CICD pipeline using Jenkins or equivalent

Experience with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or equivalents

Education & alternatives

- Must be authorized to work in the U.S. now and in the future. - Master’s degree in related field or 5+ years of equivalent experience in a research or DevOps function. - Development experience developing solutions within AWS, GCP or both.

Apply at The Hartford

Posting record

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Open 4 monthsWe first saw this posting 142 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jun 15, 2026142 days ago
Recorded sightings: 305
Last seen by us: Nov 4, 2026
Employer says posted: Jun 12, 2026
Reposted: once since May 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Pay

Lower than most similar jobs

$117K–$176K against $166K–$240K, the middle half of what similar US postings state.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 142

Up longer than most. Similar jobs usually come down between day 6 and day 69.

From 4,301 similar postings that came down. Coming down is not always a hire.

The Hartford is hiring

23 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring is picking up
Takes jobs down at a usual pace
9% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
AWS
GCP
Terraform
Airflow

Where the posting names them

- Experience with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or equivalents - Experience in Unix, git, and strong object oriented development experience using Python - Experience in end to end model development lifecycle, from ideation through post production monitoring.

- Collaborate with partners Enterprise Data, Applied AI, Business, Cloud Enablement Team, and Enterprise Architecture teams - Delivery of critical milestones for model deployment in the AWS and GCP clouds. - Adopt and promote MLOps best practices to the Data Science community.

- Master’s degree in related field or 5+ years of equivalent experience in a research or DevOps function. - Development experience developing solutions within AWS, GCP or both. - Experience developing repeatable architectural patterns; ability to identify redundancies and eliminate them with these patterns.

- Experience building CICD pipeline using Jenkins or equivalent - Experience with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or equivalents - Experience in Unix, git, and strong object oriented development experience using Python

- Experience in end to end model development lifecycle, from ideation through post production monitoring. - Experience with workflow automation platforms (Apache Airflow, Autosys, similar) - Basic understanding of Data Science model development life cycle

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Your next step

Complete your application on thehartford.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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Has The Hartford posted this job before?

Yes. We’ve followed one other Senior AI Machine Learning Engineer job there since May 2026. It came down after 13 days.

HartfordCame down after 13 days, first seen May 14
This jobUp 142 days so far, first seen Jun 15

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Sr Data Engineer - GE07BE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

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 industry‑leading AI and machine learning capabilities to improve the various facets of the Global Specialty underwriting experience. On the Global Specialty Applied AI team, we utilize the latest AI products and frameworks to accelerate the processes that our partners touch day to day and advance the speed and intelligence with which we make our decisions. As a Senior Machine Learning AI Engineer, you will play a critical role in designing, building, and operationalizing production‑grade AI solutions—partnering closely with product, engineering, and platform leaders to deliver measurable impact.

Our core values

We build AI solutions, not models. We are thoughtful in supporting the end-to-end business problem, with an eye to systems design.
We are trusted and transparent. We collaborate tightly with our partners and are mindful of their capacity to absorb change.
We provide assets that are safe to buy. Our products are delivered with a full monitoring solution to ensure our products continue to deliver as expected.
We will earn the right to influence. With humble confidence, we listen carefully to learn from our customers and become partners in problem solving.
We are practical and evolutional. We first deliver a minimally viable product and over time expand its sophistication based on feedback.

Responsibilities

Research, experiment with, and implement suitable Generative and ML algorithms, tools and technologies.
Participate in identifying and assessing opportunities i.e. value of new data sources and analytical techniques and technology, to ensure ongoing competitive advantage.
Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.
Accountable for deployment design, development and maintenance of both traditional ML and AI models.
Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable presenting new concepts to technical audiences.
Collaborate with partners Enterprise Data, Applied AI, Business, Cloud Enablement Team, and Enterprise Architecture teams
Delivery of critical milestones for model deployment in the AWS and GCP clouds.
Adopt and promote MLOps best practices to the Data Science community.

Minimum Requirements

Must be authorized to work in the U.S. now and in the future.
Master’s degree in related field or 5+ years of equivalent experience in a research or DevOps function.
Development experience developing solutions within AWS, GCP or both.
Experience developing repeatable architectural patterns; ability to identify redundancies and eliminate them with these patterns.
Experience building and deploying API services within the Cloud.
Experience building CICD pipeline using Jenkins or equivalent
Experience with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or equivalents
Experience in Unix, git, and strong object oriented development experience using Python
Experience in end to end model development lifecycle, from ideation through post production monitoring.
Experience with workflow automation platforms (Apache Airflow, Autosys, similar)
Basic understanding of Data Science model development life cycle
Familiarity with emerging data centric technologies such generative AI, Agentic workflows, and embedding LLM’s into automated processes

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$117,200 - $175,800

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

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