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ML Architect

Pay
$175,000–220,000/yearAnnual period assumed. Location-specific pay — pay source
Auditory/Visual: Hearing, vision and talking As required by law, Sedgwick provides a reasonable range of compensation for roles that may be hired in jurisdictions requiring pay transparency in job postings. Actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, and cost of specific location. For the jurisdiction noted in this job posting only, the range of starting pay for this role is ($175,000 - $220,000). A comprehensive benefits package is offered including but not limited to, medical, dental, vision, 401k and matching, PTO, disability and life insurance, employee assistance, flexible spending or health savings account, and other additional voluntary benefits. The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time.
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Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Build, prototype and deploy machine learning models in production

  • Design and implement end-to-end ETL data pipelines from multiple sources

  • Identify and scope data science projects with product and technology teams

  • Explore new internal and external data sources and assess their commercial benefit

  • Mentor team members and act as subject matter expert in cross-functional discussions

From the employer’s posting
Builds, prototypes, and deploys machine learning models in production environments.
Designs and implements end-to-end ETL (extract, transform, load) data pipelines integrating data from multiple data sources.
Collaborates with product, technology, and other stakeholders to identify and scope data science projects.
Explores new internal and external data sources and assesses their commercial benefit.
Mentors team members and serves as a subject matter expert in cross-functional discussions.

What you’ll bring

All qualifications

Core experience

  • Ten years of related experience, including three years in predictive modeling or data science
  • Proficiency writing code in Python or R
  • Thorough knowledge of SQL for querying relational databases
  • Knowledge of supervised and unsupervised ML techniques
  • Strong data exploration, wrangling and feature engineering skills

Preferred experience

  • Master’s degree or Ph.D. with major in statistics, mathematics, computer science, data science, economics, or related quantitative field from an accredited college or university preferred.
  • Experience with natural language processing and healthcare data preferred.
Qualification wording
Ten (10) years of related experience or equivalent combination of education and experience to include three (3) years of predictive modeling, data science, and analysis experience
Proficiency writing code in Python or R
Thorough knowledge of SQL to query relational databases
Knowledge of application of supervised/unsupervised ML techniques
Strong data exploration, data wrangling and feature engineering skills
Master’s degree or Ph.D. with major in statistics, mathematics, computer science, data science, economics, or related quantitative field from an accredited college or university preferred.
Experience Ten (10) years of related experience or equivalent combination of education and experience to include three (3) years of predictive modeling, data science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering. Experience with natural language processing and healthcare data preferred.
Education & alternatives
Education & Licensing Master’s degree or Ph.D. with major in statistics, mathematics, computer science, data science, economics, or related quantitative field from an accredited college or university preferred. Experience Ten (10) years of related experience or equivalent combination of education and experience to include three (3) years of predictive modeling, data science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering. Experience with natural language processing and healthcare data preferred.
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Posting record

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Open 3 monthsWe first saw this posting 110 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
Jul 17, 2026110 days ago
Recorded sightings
186
Last seen by us
Nov 4, 2026
Employer says posted
Jul 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

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

Time since we first saw it

Day 110

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

From 4,347 similar postings that came down. Coming down is not always a hire.

Sedgwick is hiring

13 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
  • 8% of open jobs were reposted
Hiring record

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  • Python
  • R
  • SQL
Where the posting names them
Skills & Knowledge - Proficiency writing code in Python or R and documenting for reproducibility - Strong knowledge of reviewing other’s models and code
- Knowledge of application of supervised/unsupervised ML techniques - Thorough knowledge of SQL to query relational databases - Excellent oral and written communication skills, including presentation skills

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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 ↗

By joining Sedgwick, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve.

Newsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top Companies

Certified as a Great Place to Work®

Fortune Best Workplaces in Financial Services & Insurance

ML Architect

Job Description

PRIMARY PURPOSE:  To partner with stakeholders to identify, scope, and execute advanced analytics and data science projects; to design data modeling processes, create algorithms, and predictive models; and to share insights that inform and enable business decisions. 

ESSENTIAL FUNCTIONS and RESPONSIBILITIES

  • Builds, prototypes, and deploys machine learning models in production environments.

  • Collaborates with product, technology, and other stakeholders to identify and scope data science projects.

  • Communicates modeling challenges, findings, and outcomes to technical and non-technical stakeholders.

  • Designs and implements end-to-end ETL (extract, transform, load) data pipelines integrating data from multiple data sources.

  • Explores new internal and external data sources and assesses their commercial benefit.

  • Mentors team members and serves as a subject matter expert in cross-functional discussions.

ADDITIONAL FUNCTIONS and RESPONSIBILITIES

  • Performs other duties as assigned.

  • Travels as required.

QUALIFICATIONS

Education & Licensing

Master’s degree or Ph.D. with major in statistics, mathematics, computer science, data science, economics, or related quantitative field from an accredited college or university preferred.

Experience
Ten (10) years of related experience or equivalent combination of education and experience to include three (3) years of predictive modeling, data science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering.  Experience with natural language processing and healthcare data preferred.

Skills & Knowledge

  • Proficiency writing code in Python or R and documenting for reproducibility

  • Strong knowledge of reviewing other’s models and code

  • Ability to use data visualization tools and libraries

  • Strong data exploration, data wrangling and feature engineering skills

  • Knowledge of application of supervised/unsupervised ML techniques

  • Thorough knowledge of SQL to query relational databases

  • Excellent oral and written communication skills, including presentation skills

  • PC literate, including Microsoft Office products

  • Analytical and interpretive skills

  • Strong organizational skills

  • Ability to create and complete comprehensive, accurate and constructive written reports

  • Ability to work in a team environment

  • Ability to meet or exceed Performance Competencies

WORK ENVIRONMENT

When applicable and appropriate, consideration will be given to reasonable accommodations.

Mental:  Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines

Physical:  Computer keyboarding, travel as required

Auditory/Visual:  Hearing, vision and talking

As required by law, Sedgwick provides a reasonable range of compensation for roles that may be hired in jurisdictions requiring pay transparency in job postings. Actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, and cost of specific location. For the jurisdiction noted in this job posting only, the range of starting pay for this role is ($175,000 - $220,000). A comprehensive benefits package is offered including but not limited to, medical, dental, vision, 401k and matching, PTO, disability and life insurance, employee assistance, flexible spending or health savings account, and other additional voluntary benefits.

The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description.  They are not intended to constitute a comprehensive list of functions, duties, or local variances.  Management retains the discretion to add or to change the duties of the position at any time.

Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.

If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.

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Pay
Auditory/Visual: Hearing, vision and talking As required by law, Sedgwick provides a reasonable range of compensation for roles that may be hired in jurisdictions requiring pay transparency in job postings. Actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, and cost of specific location. For the jurisdiction noted in this job posting only, the range of starting pay for this role is ($175,000 - $220,000). A comprehensive benefits package is offered including but not limited to, medical, dental, vision, 401k and matching, PTO, disability and life insurance, employee assistance, flexible spending or health savings account, and other additional voluntary benefits. The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time.
Location & working pattern

Telecommuter IA

Working pattern and location restrictions need checking in the full posting.

Work authorization

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