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Senior AI/ML Engineer - Boston, MA

Kelly Services

Boston, MA · HybridFull-timeup to $190K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
up to $190K/yr
Location
Boston, MAHybrid
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree, required

Job overview

A leading insurance and financial services organization seeks an AI/ML Engineer for its Boston technology team. The engineer will design, develop, and deploy machine learning solutions to enhance customer experiences, improve operational efficiency, strengthen risk assessment, and support data-driven decisions. The role involves taking AI initiatives from concept to production and collaborating with data scientists, software engineers, and business stakeholders in a hybrid work environment.

Skills & qualifications

RequiredNice to have

Skills

Python, requiredMachine Learning Frameworks, requiredMachine Learning Systems, requiredSoftware Engineering, requiredScalable Applications, requiredCloud Platforms, requiredData Pipelines, requiredFeature Engineering, requiredModel Evaluation, requiredSQL, requiredLarge-Scale Datasets, requiredGenerative AI, nice to haveLLM Applications, nice to haveNLP Applications, nice to haveMLOps, nice to haveModel Monitoring, nice to haveContainerization, nice to haveInsurance, nice to haveFinancial Services, nice to haveRisk Analytics, nice to haveActuarial Data, nice to haveDistributed Data Processing, nice to have

Qualifications

5+ Years Experience, requiredBachelor's in Related Technical Field, requiredMaster's in Related Technical Discipline, nice to have

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Paid Time Off
401(k) Match

Full job description

$170000 - $190000

Job Description A leading insurance and financial services organization is seeking an AI/ML Engineer to join its growing technology team in Boston, MA. This role will focus on designing, developing, and deploying machine learning solutions that enhance customer experiences, improve operational efficiency, strengthen risk assessment capabilities, and support data-driven decision making across the business.

This is an excellent opportunity for a hands-on engineer who enjoys taking AI initiatives from concept to production. You'll collaborate with data scientists, software engineers, and business stakeholders to build scalable machine learning systems that deliver measurable impact in a highly regulated industry.

Location: Boston, MA (Hybrid)

Compensation: Up to $190,000 Base Salary Required Skills & Experience

  • 5+ years of experience in Machine Learning Engineering, AI Engineering, Data Science, or a related field

  • Strong proficiency with Python and modern machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn

  • Experience developing, deploying, and maintaining production-grade machine learning systems

  • Strong software engineering fundamentals and experience building scalable applications

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform

  • Strong understanding of data pipelines, feature engineering, and model evaluation techniques

  • Experience working with SQL and large-scale datasets

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field

Desired Skills & Experience

  • Experience building Generative AI, LLM, or NLP-based applications

  • Familiarity with MLOps tools and model monitoring platforms

  • Experience with containerization technologies such as Docker and Kubernetes

  • Understanding of insurance, financial services, risk analytics, or actuarial data

  • Experience with distributed data processing platforms such as Spark

  • Master's degree in a related technical discipline

What You Will Be Doing Daily Responsibilities

  • Design, build, and deploy AI and machine learning solutions into production environments

  • Develop scalable APIs and services that support machine learning applications

  • Partner with data scientists to operationalize and optimize machine learning models

  • Build and maintain data pipelines that support training and inference workflows

  • Monitor model performance and implement continuous improvement processes

  • Collaborate with business stakeholders to identify opportunities for AI-driven automation and innovation

  • Follow engineering best practices to ensure reliability, scalability, and security

The Offer

  • Base salary up to $190,000

  • Annual bonus opportunity

  • Hybrid work environment in Boston, MA

  • Opportunity to build enterprise-scale AI solutions within a stable and growing industry

  • High-visibility projects with direct business impact

You will receive the following benefits

  • Medical Insurance

  • Dental Benefits

  • Vision Benefits

  • Paid Time Off (PTO)

  • 401(k) with company match

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.

How this job compares

Set against the 549 open AI/ML Engineer jobs on Olive Jobs, counted November 11, 2026.

Pay
  • This postingup to $190K/yr
  • US median$116–210K/yr447 salary ranges
  • US median$26–67/hr36 hourly ranges
Openings
Olive Jobs lists 11 open AI/ML Engineer jobs in Massachusetts and 549 across the US. 5% of them nationwide are listed as remote or flexible.
Hiring the most across the US
Experience
This posting asks for at least 5 years of experience; AI/ML Engineer postings that state a minimum ask for 5 years at the median (496 postings).
Education
This posting asks for a bachelor's degree; 223 of the 549 open AI/ML Engineer jobs (41%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 11, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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