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Machine Learning Technical Project Manager Jobs (NOW HIRING)

... Machine Learning Lifecycle (data prep, training, evaluation, deployment). Tools Strong ... Project Management, Technical Oversight & Collaboration Oversee PLM AI initiatives from inception ...

As a Technical Project Manager you will be an integral part of generating and maintaining ... Its machine-learning vision and control software provides the foundation for all its products. We ...

We are looking for Technical Project Manager for our client in Santa Clara, CA . Job Title ... Strong understanding of Machine Learning, Deep Learning, Generative AI / LLMs, RAG Architecture ...

Technical Project Manager

Herndon, VA · On-site +1

$156K - $279K/yr

Needs to occasionally move about inside the office to access file cabinets, office machinery, etc ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

... Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of ... The Sr. Technical Project Manager will serve as the primary point of contact with the Government ...

Coordinate Machine Learning model deployments * Ensure compliance with cloud security, data ... Management * Present project updates to executive leadership * Act as the primary point of contact ...

... end Machine Learning Lifecycle (data prep, training, evaluation, deployment). * Strong ... Skills: * Project Management. * Technical Oversight. * AI/ML Knowledge. * Enovia PLM. * JIRA.

We're looking for an experienced Technical Project Manager to lead complex software delivery ... Flexible work arrangements and travel opportunities * $2,500 annual learning and development budget

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Machine Learning Technical Project Manager information

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$43.5K

$117.5K

$180K

How much do machine learning technical project manager jobs pay per year?

As of Aug 27, 2026, the average yearly pay for machine learning technical project manager in the United States is $117,465.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $134,500.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Technical Project Manager vs Data Scientist?

AspectMachine Learning Technical Project ManagerData Scientist
Required CredentialsBachelor's or Master's in CS, Engineering, or related; PMP or Agile certificationsBachelor's, Master's, or PhD in Data Science, Statistics, or related
Work EnvironmentProject teams, cross-functional collaboration, managing ML projectsData analysis, model development, research-focused
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions
Common Search & Comparison IntentUnderstanding project management roles in MLUnderstanding data analysis and modeling roles

The main difference between a Machine Learning Technical Project Manager and a Data Scientist lies in their focus. The project manager oversees ML projects, coordinating teams and ensuring timely delivery, while the data scientist focuses on analyzing data, building models, and deriving insights. Both roles often collaborate but serve distinct functions within ML initiatives.

More about Machine Learning Technical Project Manager jobs

What cities are hiring for Machine Learning Technical Project Manager jobs?

Cities with the most Machine Learning Technical Project Manager job openings:

What states have the most Machine Learning Technical Project Manager jobs?

States with the most job openings for Machine Learning Technical Project Manager jobs include:

What job categories do people searching Machine Learning Technical Project Manager jobs look for?

The top searched job categories for Machine Learning Technical Project Manager jobs are:

Infographic showing various Machine Learning Technical Project Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $117,465 per year, or $56.5 per hour.

Technical Project Manager

Randstad Digital

Ann Arbor, MI • On-site

$45 - $50/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago


Job description

job summary:

Technical Project Manager.


Project Management, Technical Oversight & Collaboration


Oversee PLM AI initiatives from inception to launch, including scoping, planning, and executing AI/ML models in PLM Application (Enovia).


Guide technical teams, including data scientists and engineers, on model development, data pipelines, and deployment strategies (e.g., in cloud environments like AWS, Azure, Google Cloud Platform). AI/ML Knowledge


Solid understanding of AI/ML algorithms, data science principles, and the end-to-end Machine Learning Lifecycle (data prep, training, evaluation, deployment).


Tools


Strong understanding and solution experience in Enovia PLM


Proficiency with JIRA, Confluence, Git, and any one cloud platforms (AWS, Azure, Google Cloud Platform) Ethical & Compliance Guardrails


Ensure AI models are fair, transparent, and comply with data privacy regulations. Risk Mitigation


Identify and proactively resolve risks related to data quality, model performance, and infrastructure constraints.


Soft Skills


Strong communication, leadership, and the ability to influence cross-functional teams without direct authority.


Stakeholder Management and collaborate with multiple functional groups and Vendors Experience


7+ years of experience in Enovia PLM Development & Solutions


2+ years of Experience in AI Project Development/Solution


2+ years of project/program management experience, with specific experience delivering AI, Machine Learning, or data science solutions.


location: Ann Arbor, Michigan
job type: Contract
salary: $45 - 50 per hour
work hours: 8am to 5pm
education: No Degree Required
responsibilities:

Project Management, Technical Oversight & Collaboration


Oversee PLM AI initiatives from inception to launch, including scoping, planning, and executing AI/ML models in PLM Application (Enovia).


Guide technical teams, including data scientists and engineers, on model development, data pipelines, and deployment strategies (e.g., in cloud environments like AWS, Azure, Google Cloud Platform).


AI/ML Knowledge


Solid understanding of AI/ML algorithms, data science principles, and the end-to-end Machine Learning Lifecycle (data prep, training, evaluation, deployment).


Tools


Strong understanding and solution experience in Enovia PLM


Proficiency with JIRA, Confluence, Git, and any one cloud platforms (AWS, Azure, Google Cloud Platform)


Ethical & Compliance Guardrails


Ensure AI models are fair, transparent, and comply with data privacy regulations.


Risk Mitigation


Identify and proactively resolve risks related to data quality, model performance, and infrastructure constraints.


Soft Skills


Strong communication, leadership, and the ability to influence cross-functional teams without direct authority.


Stakeholder Management and collaborate with multiple functional groups and Vendors


Experience


7+ years of experience in Enovia PLM Development & Solutions


2+ years of Experience in AI Project Development/Solution


2+ years of project/program management experience, with specific experience delivering AI, Machine Learning, or data science solutions.


qualifications:

Technical Project Manager.


Project Management, Technical Oversight & Collaboration


Oversee PLM AI initiatives from inception to launch, including scoping, planning, and executing AI/ML models in PLM Application (Enovia).


Guide technical teams, including data scientists and engineers, on model development, data pipelines, and deployment strategies (e.g., in cloud environments like AWS, Azure, Google Cloud Platform). AI/ML Knowledge


Solid understanding of AI/ML algorithms, data science principles, and the end-to-end Machine Learning Lifecycle (data prep, training, evaluation, deployment).


Tools


Strong understanding and solution experience in Enovia PLM


Proficiency with JIRA, Confluence, Git, and any one cloud platforms (AWS, Azure, Google Cloud Platform) Ethical & Compliance Guardrails


Ensure AI models are fair, transparent, and comply with data privacy regulations. Risk Mitigation


Identify and proactively resolve risks related to data quality, model performance, and infrastructure constraints.


Soft Skills


Strong communication, leadership, and the ability to influence cross-functional teams without direct authority.


Stakeholder Management and collaborate with multiple functional groups and Vendors Experience


7+ years of experience in Enovia PLM Development & Solutions


2+ years of Experience in AI Project Development/Solution


2+ years of project/program management experience, with specific experience delivering AI, Machine Learning, or data science solutions.


skills:

AWS,AI,cloud environments,Confluence,data pipelines,deployment strategies,Enovia,Git,Google Cloud Platform,JIRA,ML algorithms,Machine Learning,Azure,model performance,communication,Ethical,Soft Skills,leadership,ability to influence,proactively,data quality,data science,data science solutions,infrastructure,data privacy regulations,program management experience,Project Development,risks,Risk Mitigation,Stakeholder Management



Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.