Live opening · Posted 9 hours ago

Manager, Machine Learning Operations & Delivery

Ladders · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 9 hours ago
CompanyLadders
LocationUnited States (Remote)
Salary$115K/yr - $175K/yr · Medical, 401(k)
Work modeYes
SkillsMachine Learning, Python, JavaScript, Java, AWS, Azure
SourceLinkedin
ListedPosted 9 hours ago

About the role

Description supplied by the original job listing.

For our client, we are seeking a Manager, Machine Learning Operations & Delivery to join the team of a leader in the Business Services space.
This role will oversee the design and delivery of scalable machine learning operations solutions that support production-grade environments and business-critical outcomes. You will lead a team of ML engineers, Data Engineers, and DevOps specialists while partnering closely with cross-functional stakeholders to integrate ML and cloud capabilities effectively. The position also plays a key role in strengthening deployment practices, data infrastructure, and resilience across the organization.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $115,000 – $175,000 annually
Responsibilities
Design and implement end-to-end machine learning operational solutions.
Lead and develop a team of ML engineers, Data Engineers, and DevOps specialists.
Partner with cross-functional teams for seamless integration of ML and cloud technologies.
Implement best practices for MLOps, including CI/CD and security by design.
Drive cloud technologies for ML model training and deployment optimization.
Own development and maintenance of robust data pipelines.
Lead efforts in Disaster Recovery and Business Continuity initiatives.
Qualifications
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related STEM field; M.S. preferred.
3+ years managing high-performing software development teams with 5+ direct reports.
2+ years of experience with Platform Engineering teams.
6+ years deploying Java, JavaScript, and Python solutions.
3+ years in machine learning engineering with a focus on production environments.
3+ years managing data infrastructure and pipelines; Data Mesh experience is a plus.
3+ years in multi-cloud deployment using AWS and Azure.
Benefits
Group health insurance benefits including medical, vision, and dental coverage.
FSA and HSA healthcare accounts.
Life and accident insurance, adoption assistance, and fertility assistance.
Paid parental leave of up to 6 weeks.
Paid time off for vacation, personal needs, and sick time.
Up to 11 paid holidays per year.
401(k) savings plan with employer match on contributions.
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

Work arrangement
Yes

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