Top 14 LLMOps acquisition Models Jobs

Senior Machine Learning Engineer
Indeed —Remote
- $138,000 - $289,000 a year
- Full-time
- Computer science
- 3 years
- Military encouraged
- Paid parental leave
- Paid holidays
Quick Apply
1d
AI Program Lead
Mesa Associates, Inc. —Madison, AL
- Azure
- Computer Science
- Master's degree
Quick Apply
Principal Domain Architect - AI
Philip Morris International U.S. —Tampa, FL
- $136,000 - $195,500 a year
- Full-time
- Azure
- System design
- Databases
- Commuter assistance
- Health insurance
Senior, Software Engineer
Walmart —Sunnyvale, CA
- $117,000 - $234,000 a year
- Azure
- Computer Science
- High school
- Paid jury duty
- Paid parental leave
Lead AI Engineer (ML Ops)
Gartner —Irving, TX
- $116,000 - $170,000 a year
- Email
- Hybrid work
- Azure
- Residential
- Analysis skills
- Employee stock purchase plan
- Health insurance
Principal Data Scientist, Digital & AI
Vertex Pharmaceuticals —Boston, MA
- $152,000 - $228,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
- Loan repayment program
- Health insurance
(USA) Senior, Software Engineer
Walmart —Sunnyvale, CA
- $117,000 - $234,000 a year
- Azure
- Computer Science
- High school
- Paid jury duty
- Paid parental leave
Client Partner AI Engineering (TMT)
Fractal Analytics —California
- Up to $300,000 a year
- Full-time
- Azure
- System design
- 11+ years
- Paid holidays
- Dental insurance
Data Architect
Philip Morris International U.S. —Tampa, FL
- $104,000 - $149,500 a year
- Full-time
- 7 years
- Azure
- Computer Science
- Commuter assistance
- Health insurance
5d
Vice President, AI Security and Enterprise Security Architecture
The Hartford —Columbus, OH
- $219,440 - $329,160 a year
- Full-time
- Hybrid work
- Computer Science
- 11+ years
- Travel
Sr. Engineer Data Science & Agentic AI
Niagara Bottling —Diamond Bar, CA
- $111,766.36 - $159,267.07 a year
- Full-time
- Microsoft Outlook
- 3 years
- AWS
- Health savings account
- AD&D insurance
Quick Apply
6d
Machine Learning Engineer/AI Engineer
Acentra Health, LLC —United States
- $97,040 - $130,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- System design
- Health insurance
- Tuition reimbursement
Senior AI Engineer
Ansell —United States
- Full-time
- Hybrid work
- Azure
- Computer Science
- System design
- Continuing education credits
- Paid holidays

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Senior Machine Learning Engineer

Indeed -
Remote

Quick Apply

Job Details

Full-time
$138,000 - $289,000 a year
1 day ago

Benefits

Paid parental leave
Open paid time off
Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
RSU
Paid time off
Parental leave
Vision insurance
Life insurance

Qualifications

Torch
Computer science
3 years
Senior level
Communication skills

Full Job Description

Our Mission

As the world’s number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.

(*Comscore, Total Visits, March 2025)

Day to Day

As a Senior Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You’ll be collaborating with a cross-functional product team to drive value and better customer experiences for our Sourcing product, which connects employers with new talent through AI. This Senior MLE will help us improve our automated outreach quality, building new agentic experiences, and LLMOps reliability and infrastructure.

Responsibilities

Autonomously deliver ML and AI projects, including prompt development and evaluation, training ML models, building LLM-as-a-Judge capabilities, and building recommendation / ranking systems
Develop LLM and machine learning model improvements, scale them in production, and run iterative A/B tests to improve our Sourcing product
Estimate potential business impact of AI and ML and balance tradeoffs between delivery velocity and systematic infrastructure investments
Collaborate with cross-functional partners, including Machine Learning Engineers, Data Scientists, Software Engineers, Product, and UX designers/researchers
Define and implement evaluation, observability, and production monitoring approaches for ML and LLM-based systems.
Serve as a trusted partner and communicator for cross-functional and cross-team counterparts, translating technical concepts to facilitate productive collaboration.
Mentor other Machine Learning Engineers, Data Scientists, and Software Engineers on the team

Skills/Competencies

Requires a Bachelor’s degree in Computer Science, Mathematics, or Statistics, and a minimum of 5 years of related experience; or a Master’s degree with a minimum of 3 years of experience; or a PhD without experience
Prior success in deploying impactful Machine Learning and/or LLM-based solutions to large-scale production systems
Solid knowledge of data structures and algorithms
Demonstrated sense of ownership and accountability as a key contributor in the technical and product domains
Familiarity with agent orchestration frameworks, LLM observability tools, and prompt optimization techniques (e.g. GEPA)
Knowledge of and practical experience working on Deep Learning libraries (like Torch, Tensorflow, etc.) and modern ML/LLM tooling
Familiarity with modern ML system design, including evaluation, experimentation, and production monitoring for predictive and LLM-based systems
Excellent written and verbal communication, effective with technical and business audiences

Salary Range Transparency

Tier 1 - United States of America 138,000 - 208,000 USD per year

Tier 2 - United States of America 154,000 - 230,000 USD per year

Tier 3 - United States of America 169,000 - 253,000 USD per year

Tier 4 - N/A

Tier 5 - United States of America 193,000 - 289,000 USD per year

Salary Range Disclaimer

The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. Compensation may also vary based on where a role is performed, as work locations are grouped into geographic pay tiers to reflect cost of labor differences in different geographic markets. Candidates can view geographic pay tiers by location on our career site (https://www.indeed.com/careers/paytiers), and recruiters can confirm how location is considered for a specific role.

Benefits - Health, Work/Life Harmony, & Wellbeing

We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company’s 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at https://www.indeed.com/careers/benefits!

Equal Opportunities and Accommodations Statement

Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds.

Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please visit https://www.indeed.com/careers/accommodations. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview.

For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page (https://www.indeed.com/careers).

Inclusion & Belonging

Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we’re committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity.

We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment.

Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome.

Indeed’s Employee Recruiting Privacy Policy

Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site’s user and privacy policy found at https://www.indeed.com/legal, we also want to make you aware of our recruitment specific privacy policy found at https://www.indeed.com/legal/indeed-jobs.

Agency Disclaimer

Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening.

AI Notice

Indeed is committed to ensuring fairness and transparency throughout our hiring process. We use artificial intelligence (AI) tools to assist in the screening, assessment, and selection of applicants for this position by analyzing information provided in resumes and applications. Our use of AI does not replace human decision-making.

Unless otherwise notified, Indeed does not use AI constituting an AEDT or an ADMT as those tools are defined in applicable laws.

Reference ID: 47061

The deadline to apply to this position is 6/9. Job postings may be extended at the hiring team’s discretion based on applicant volume.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Reference ID: 47061

Quick Apply

Refine Your Search

LLMOps acquisition Models jobs

Senior Machine Learning Engineer

AI Program Lead

Principal Domain Architect - AI

Senior, Software Engineer

Lead AI Engineer (ML Ops)

Principal Data Scientist, Digital & AI

(USA) Senior, Software Engineer

Client Partner AI Engineering (TMT)

Data Architect

Vice President, AI Security and Enterprise Security Architecture

Sr. Engineer Data Science & Agentic AI

Machine Learning Engineer/AI Engineer

Senior AI Engineer

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Our Mission

Day to Day

Responsibilities

Skills/Competencies

Salary Range Transparency

Salary Range Disclaimer

Benefits - Health, Work/Life Harmony, & Wellbeing

Equal Opportunities and Accommodations Statement

Inclusion & Belonging

Indeed’s Employee Recruiting Privacy Policy

Agency Disclaimer

Reference ID: 47061

The deadline to apply to this position is 6/9. Job postings may be extended at the hiring team’s discretion based on applicant volume.

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